OpenAI

About the Role We are seeking a Tokens-as-a-Service (TaaS) Engineer to help build the systems that convert large-scale infrastructure capacity into measurable, reliable token throughput for OpenAI workloads. In this role, you will work across performance benchmarking, tokenomics, model porting, infrastructure integration, systems tooling, and operational monitoring. You will help connect partner and first-party compute environments into OpenAI’s infrastructure stack, ensuring GPU capacity can be onboarded, measured, monitored, and optimized against real workload outcomes. Key Responsibilities - Develop systems and tooling to measure, monitor, and improve token throughput across first-party and partner-owned compute environments. - Support performance benchmarking, tokenomics analysis, and model porting across heterogeneous infrastructure environments. - Build tooling to integrate external or partner infrastructure into OpenAI’s internal compute, observability, and workload management systems. - Develop and monitor operational metrics including billing, usage, SLAs, utilization, reliability, and throughput. - Identify bottlenecks across hardware, networking, software, and workload enablement that prevent capacity from becoming productive tokens. - Partner with compute, infrastructure, networking, finance, and operations teams to translate raw capacity into usable workload-serving capacity. - Build dashboards, automation, and reporting systems that provide clear visibility into TaaS capacity, performance, and business outcomes. Qualifications - Strong software engineering background with experience building systems, tooling, automation, or infrastructure platforms. - Experience working across compute infrastructure, distributed systems, performance engineering, or production operations. - Ability to reason about token throughput, utilization, benchmarking, infrastructure efficiency, and workload performance. - Comfortable integrating external systems or partner environments into internal infrastructure stacks. - Strong analytical and debugging skills across hardware, networking, software, and operational domains. Preferred Skills - Experience with GPU clusters, AI infrastructure, performance benchmarking, or workload optimization. - Familiarity with model porting, inference/training workloads, token economics, or compute efficiency analysis. - Experience building monitoring systems for billing, usage, SLAs, utilization, or infrastructure reliability. - Background in systems engineering, infrastructure software, observability, distributed systems, or platform engineering. About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement https://cdn.openai.com/policies/eeo-policy-statement.pdf. Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers:

About the Team The Privacy Engineering Team at OpenAI is committed to integrating privacy as a foundational element in OpenAI's mission of advancing Artificial General Intelligence (AGI). Our focus is on all OpenAI products and systems handling user data, striving to uphold the highest standards of data privacy and security. We build essential production services, develop novel privacy-preserving techniques, and equip cross-functional engineering and research partners with the necessary tools to ensure responsible data use. Our approach to prioritizing responsible data use is integral to OpenAI's mission of safely introducing AGI that offers widespread benefits. About the Role We are looking for a Software Engineer with experience developing secure backend systems that prioritize customer data protection. This role is ideal for someone who is deeply committed to the nexus of product development, security, and privacy. This position is located in San Francisco. Relocation assistance is available. In this role, you will: - Design, build, and implement back-end systems that power privacy and security functions within our API products and consumer applications. - Conduct threat modeling, privacy design reviews, and code-level assessments to ensure the highest privacy and security standards. - Collaborate with product managers, and other engineering teams to develop new products that leverage emerging research while maintaining privacy and security integrity. - Work closely with the legal team to document and evaluate internal compliance practices, ensuring alignment with legal requirements and organizational standards, and conduct thorough internal audits to maintain the highest levels of compliance and integrity. - Coordinate and actively participate in privacy incident response efforts. You might thrive in this role if you: - Have substantial experience in building (and re-engineering) production systems to meet legal requirements, manage increased scale, and uphold privacy and security standards. - Have led or been a significant contributor to security projects, demonstrating a cross-functional collaboration skill set. - Deeply care about user experience and take pride in developing products that meet customer needs whilst drawing on experience in threat modeling, secure design, and regulatory compliance. - Possess a humble attitude, strong communication skills, and an eagerness to support your colleagues, reflecting a readiness to do whatever is necessary for team success. - Take responsibility for problems from beginning to end, demonstrating problem-solving abilities and preparedness to acquire any missing knowledge necessary to get the job done. About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement https://cdn.openai.com/policies/eeo-policy-statement.pdf. Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Cha

About the Team IT Systems Operations serves as the operational control layer connecting Security, Engineering, and Employee Technology platforms. The team ensures employee-facing systems, identity workflows, and enterprise applications operate in a predictable, governed, and continuously reliable manner as the organization scales. Beyond implementation, the team establishes structured operating patterns that ensure platform changes, access models, integrations, and lifecycle workflows evolve safely and consistently across the enterprise environment. About the Role This role acts as an operational owner for identity-connected enterprise SaaS platforms and system change controls supporting OpenAI’s compliance requirements. The engineer will be responsible for ensuring that production configuration, access models, and platform changes remain compliant, auditable, and consistently operated through defined controls. You will own and operationalize controlled system and workflow changes across identity platforms, SaaS applications, collaboration tooling, and enterprise infrastructure. You will partner closely with Security, Platform Engineering, and IT Support Operations to: - Ensure identity and access workflows behave consistently across systems - Implement structured rollout and configuration practices for enterprise applications - Improve visibility and traceability of system changes impacting employee workflows - Translate operational requirements into durable automation and policy-aligned implementations Success in this role requires not only strong engineering capability, but also sound operational judgment, disciplined documentation practices, and effective cross-functional collaboration. In this role, you will: Enterprise SaaS & Identity Platform Ownership - Own administration and operational stewardship of enterprise SaaS and identity-connected platforms, ensuring configuration integrity, access governance, and compliance with defined control requirements. - Own onboarding, access modification, and offboarding workflows aligned to standardized entitlement models. - Ensure lifecycle events propagate reliably across downstream systems and maintain accurate, auditable access state. - Maintain consistent platform configuration and reduce unmanaged variance across business-critical systems. - Partner with Security and IT Support Operations to enforce least-privilege access models and durable ownership boundaries. Controlled Change, Automation & Operational Reliability - Design and operationalize structured rollout patterns for enterprise system configuration and workflow changes. - Replace manual administrative actions with governed automation incorporating validation, logging, and rollback-aware deployment patterns. - Translate operational and compliance requirements into durable system implementations that improve reliability and auditability. - Build automated operational workflows using APIs, infrastructure-as-code, scripting, and low-code automation platforms. Integration & Platform Engineering - Execute and maintain integrations across identity providers, SaaS platforms, ITSM systems, and internal tooling to ensure consistent system behavior. - Standardize integration and deployment approaches across environments to support scalable platform adoption. - Translate ambiguous operational requirements into structured workflows and dependable system implementations. - Partner cross-functionally to convert recurring incidents and operational friction into durable system improvements. We’re looking for someone with: - Experience owning enterprise SaaS and identity platforms end-to-end. - Experience with implementing and operating SOX, SOC 2, and related controls in these platforms. - Experience automating platforms and audits. - Excellent communication and collaboration skills. About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity.

About the Team OpenAI’s Hardware organization develops system and infrastructure solutions tailored to the demands of advanced AI workloads. We work across the full stack—from silicon to system integration—partnering closely with internal teams and external vendors to define and deliver next-generation AI infrastructure. Our team focuses on defining scalable, high-performance system architectures and reference designs that balance performance, cost, and operational efficiency across rapidly evolving technologies. About the Role We are seeking a 3P Architect to define and drive rack- and cluster-level reference designs in collaboration with external partners. This role is responsible for translating workload requirements and system-level goals into concrete architectures, aligning partners on critical design attributes, and ensuring vendor roadmaps meet our infrastructure needs. You will work closely with performance modeling and internal architecture teams to evaluate tradeoffs, while owning the end-to-end definition and execution of third-party system designs. This includes identifying gaps in current technologies, driving vendor development, and shaping future infrastructure capabilities. This role requires strong system intuition, cross-functional leadership, and the ability to operate effectively across internal teams and external ecosystems. This role is based in San Francisco, CA. We use a hybrid work model of 3 days in the office per week and offer relocation assistance. Key Responsibilities - Define rack- and cluster-level reference architectures for AI infrastructure deployments. - Translate workload requirements into clear system design specifications and partner deliverables. - Collaborate with performance modeling teams to evaluate architectural tradeoffs and system behaviors. - Align internal stakeholders and external partners on critical system attributes (performance, cost, power, reliability, scalability). - Identify gaps in current technology offerings and drive vendors (ODM/JDM, silicon, networking) to close those gaps. - Influence and shape vendor roadmaps to meet future infrastructure needs. - Track emerging technologies and evaluate their applicability to AI systems. - Define and lead proof-of-concept (PoC) efforts to validate new architectures and technologies. - Act as a key interface between OpenAI and external partners, ensuring execution against design intent. Qualifications - Have strong experience in system architecture for large-scale infrastructure or data center environments. - Understand AI workload characteristics and how they map to system-level design decisions. - Are comfortable working with performance modeling outputs to inform architectural direction. - Have experience working with or managing hardware vendors (ODM/JDM, silicon, networking). - Can drive alignment across multiple stakeholders with competing constraints. - Have a track record of turning ambiguous requirements into clear, executable system designs. - Are proactive in identifying gaps and driving solutions across organizational boundaries. Preferred Skills - Experience defining rack- or cluster-level systems for hyperscale or AI workloads. - Familiarity with accelerators (GPUs/ASICs), interconnects, and data center networking architectures. - Experience influencing vendor roadmaps and reference designs. - Background in infrastructure deployment, hardware engineering, or systems integration. - Experience leading PoCs or early-stage hardware validation efforts. About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and ex

About the Team The Workload Networking team is responsible for the collective communication stack used in our largest training jobs. Using a combination of C++ and CUDA we work on novel collective communication techniques that enable efficient training of our flagship models on our largest custom built supercomputers. The models we train are key ingredients to the AI research progress at OpenAI and the field as a whole, and we continually incorporate learnings from our entire research org into our training platform. About the Role As a Software Engineer, Networking you will design and implement custom networking collectives that are tightly integrated into our training stack. We’re looking for people who have a background in low level performance critical software. Experience with collective communication is a bonus. This role is based in San Francisco, CA. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees. In this role, you will: - Collaborate closely with ML researchers to design and implement efficient collective operations in C++ and CUDA. - Ensure that our largest training jobs take full advantage of the different network transports used in our supercomputers. - Work on simulations to inform our future supercomputer network designs. You might thrive in this role if you: - Have written distributed algorithms using RDMA in the past. - Are comfortable writing low level performance sensitive CPU and/or GPU code. - Are familiar with network simulation techniques. About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement https://cdn.openai.com/policies/eeo-policy-statement.pdf. Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form https://form.asana.com/?d=57018692298241&k=5MqR40fZd7jlxVUh5J-UeA. No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link https://form.asana.com/?k=bQ7w9h3iexRlicUdWR

About the Team The IT Services and Support team is responsible for providing seamless, efficient, and reliable IT solutions across the organization. We handle frontline IT support, manage vendor relationships and equipment inventory, and continuously improve our processes and documentation to enhance the overall employee experience. About the Role As an IT Support Specialist, you will be the first point of contact for troubleshooting hardware, software, and network issues. Your responsibilities include resolving incoming support requests, coordinating with vendors for equipment procurement, repairs, and maintenance, and actively participating in process and systems improvement initiatives. We’re looking for people who are customer-focused, technically proficient, and proactive in enhancing IT processes. You should excel at clear communication with both technical and non-technical stakeholders, have robust expertise in IT systems (with a strong background in macOS, and ideally Windows), and thrive in collaborative, fast-paced environments. This role is based out of our Bellevue, San Francisco, or Mountain View office and requires 5 days in office per week. We offer relocation assistance to new employees. In this role, you will: - Improve Support Systems and Processes: Collaborate with cross-functional teams to identify opportunities for improvement, support the creation and maintenance of repeatable workflows (such as onboarding and device imaging), and contribute innovative ideas during IT team meetings. - Collaborate across OpenAI: Work closely with cross-functional teams (Security, Facilities, People Ops, etc.) to ensure seamless employee experiences. Clearly articulate issues, potential solutions, and timelines to both technical and non-technical stakeholders. - Act as Frontline IT Support: Serve as the primary point of contact for troubleshooting hardware, software, and network issues, ensuring prompt and reliable resolution of employee requests. - Manage Vendors and Equipment: Coordinate with vendors for procurement, repairs, and maintenance while managing hardware and software inventories to maintain secure, up-to-date, and standardized systems. You might thrive in this role if you: - Have strong technical expertise in macOS (with a working knowledge of Windows as a plus), identity and device management (e.g., Azure AD, Jamf, Intune), and enterprise collaboration tools like Google Workspace, Office 365, Slack, and Atlassian products. - Demonstrate excellent written and verbal communication skills, ensuring clarity and professionalism in both internal and external interactions. - Excel at troubleshooting and problem-solving within Mac and macOS environments, ensuring smooth operations for users. - Have experience orchestrating high-production all-hands events, managing the AV and technical aspects to ensure successful outcomes. - Are highly driven and motivated, with a proactive approach to problem solving and continuous improvement. - Exhibit precision and attention to detail in your work, consistently delivering high-quality results. - Possess a customer-first mindset and the ability to clearly articulate technical details to diverse audiences. - Are proactive in process improvement and vendor management, with added value in mentoring junior team members, automating workflows via scripting or low-code tools, and managing IT projects as a bonus. About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discrimi

About the Team The Codex Core Agent team builds the kernel of Codex. We own making the agent better, accelerating research, and making those improvements real in production for our users. That means working across the systems that make Codex actually function as an agent in the real world: the production performance envelope around tokens, latency, reliability, cost, and capacity; the core execution loop and interfaces that turn models into useful behavior; the shared infrastructure that enables other teams to build on Codex; and the feedback loops that turn real-world usage into better models and better agent behavior over time. About the Role We’re looking for engineers to build the infrastructure that powers Codex agents in production. This role focuses on the systems that let models safely execute code, interact with tools, complete long-running tasks, and operate reliably and efficiently at scale. You’ll design and operate the infrastructure behind sandboxed execution, orchestration, stateful workflows, app-server and SDK boundaries, and model rollouts. You’ll work at the intersection of distributed systems, developer tooling, and AI, building primitives that make Codex faster, safer, more reliable, and easier for the rest of the organization to build on. What You’ll Do - Design and build execution environments for AI agents, including sandboxing, isolation, and reproducibility. - Develop systems for agent orchestration across multi-step, tool-using workflows. - Build infrastructure for running, testing, and debugging code generated by models. - Create state and memory systems that allow agents to persist context across long-running tasks. - Optimize tokens, latency, reliability, and cost across Codex’s production fleet. - Support model rollouts, capacity planning, and the core tradeoffs between quality, speed, and economics to manage a fleet of frontier agents at scale. - Build shared platform capabilities that unblock product teams, partner teams, and open source Codex. You Might Be a Good Fit If You - Have strong experience in distributed systems or infrastructure engineering. - Have built systems involving containers, sandboxing, or virtualization. - Are comfortable working across backend systems, APIs, and developer tooling. - Care deeply about system reliability, performance, and security. - Enjoy working on ambiguous, zero-to-one problems. - Want to help build the systems that turn model capability into a dependable software engineering agent. Bonus Points - Experience with code execution platforms, CI/CD systems, or build systems. - Experience coding in Rust - Familiarity with LLMs, agents, or tool-use frameworks. - Background in security engineering or isolation systems. - Experience building developer platforms, IDE tooling, or open source infrastructure. About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement https://cdn.openai.com/policies/eeo-policy-statement.pdf. Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the

About the Team The Product Policy team develops, implements, enforces, and communicates the policies that govern use of OpenAI’s services, including ChatGPT, Codex, GPTs, and the OpenAI API. This biosecurity-focused role will help define how OpenAI enables legitimate life sciences, biomedical, and public health work while reducing the risk that our products are misused to create biological harm. This role sits at the intersection of AI capability, life sciences practice, biosecurity, biosafety, and abuse prevention: helping researchers, institutions, and other legitimate users benefit from OpenAI’s tools while setting clear boundaries against activity that could enable catastrophic biological misuse or other harmful bio-related outcomes. About the Role As a Product Policy Manager specializing in Biosecurity, you will combine deep biological, biosecurity, and policy judgment to guide how OpenAI evaluates, launches, and governs capabilities relevant to biology and the life sciences. You will work closely with product, engineering, research, safety, security, legal, operations, global affairs, and go-to-market teams to translate complex biological risk into practical product policy, implementation standards, access criteria, enforcement guidance, and launch decisions. The role requires understanding both sides of the bio equation: how legitimate researchers, clinicians, public health practitioners, and life sciences organizations use AI to advance beneficial work, and how malicious or irresponsible actors may attempt to misuse AI systems to lower barriers to harmful biological activity. Strong candidates may bring depth in one or more relevant domains, such as biosecurity, biosafety, synthetic biology, molecular biology, computational biology, bioinformatics, public health, biodefense, biological risk management, sequence screening, lab automation, institutional research governance, or life sciences R&D — along with the ability to reason across adjacent areas. You do not need to have held a formal policy title, but you should have experience turning complex technical or scientific risk into durable rules, standards, processes, or decisions, and very strong communication skills. As OpenAI continues to grow its capabilities in biology and the life sciences, this role will help align diverse teams and stakeholders while operating in a fast-moving, ambiguous environment. In this role, you will: - Provide biosecurity and life sciences policy advice to technical and product teams based on an understanding of model capabilities, biological R&D workflows, abuse pathways, and the practical needs of legitimate scientific users. - Evaluate bio-relevant product launches and model capabilities, including how they may support beneficial biological research, public health, clinical education, drug discovery, biosecurity, and other life sciences use cases, as well as how they could be misused by malicious or irresponsible actors. - Translate biological misuse risk into clear product requirements, launch guidance, enforcement standards, user-facing policy, internal implementation guidance, and reviewer SOPs. - Help define scalable policy frameworks for dual-use biological capabilities, including where to draw boundaries between broadly beneficial biological assistance, higher-risk dual-use support, and activity that should be restricted or disallowed. - Develop operationalizable standards, enforcement protocols, and escalation paths for bio misuse scenarios, including suspicious high-risk dual-use trajectories, account- or organization-level misuse patterns, and ambiguous cases requiring expert judgment. - Partner with Preparedness, Safety Systems, Integrity, User Operations, I2, research, legal, communications, global affairs, and product teams to make principled, timely decisions about biological risk in high-ambiguity situations. - Help design and refine trusted access frameworks for higher-capability biological systems, including actor vettin

About the team OpenAI’s mission is to build safe artificial general intelligence (AGI) which benefits all of humanity. This long-term undertaking brings the world’s best scientists, engineers, and business professionals into one lab together to accomplish this. In pursuit of this mission, our Go To Market (GTM) team is responsible for helping customers learn how to leverage and deploy our highly capable AI products across their business. The team is made of Sales, Solutions, Support, Marketing, and Partnership professionals that work together to create valuable solutions that will help bring AI to as many users as possible. About the role The Go To Market (GTM) team at OpenAI is dedicated to helping customers realize the transformative potential of AI technology. We are seeking a Revenue Operations Manager to support and optimize the operations within our Technical Success team, working closely with cross-functional teams to drive operational excellence and maximize customer impact. As a Revenue Operations Manager, you will focus on designing processes that enhance the customer experience, optimizing internal workflows, and delivering data-driven insights that support strategic decision-making across teams. In this role, you'll: - Design and implement processes to support the OpenAI Technical Success team, ensuring seamless management of customer interactions throughout the lifecycle, from onboarding to ongoing technical support and services delivery. - Work closely with technical teams to ensure that operational processes are scalable and efficiently integrated into customer success workflows. - Define and track key performance indicators (KPIs) specific to technical success, developing and maintaining dashboards to provide actionable insights to stakeholders and leadership. - Manage capacity and coverage strategy for the Technical Success team, working with leadership to ensure alignment with business objectives and offering data-driven recommendations for improvements. - Partner with the data team to ensure the integrity and accuracy of data, enabling effective reporting and decision-making for revenue-generating activities. - Lead strategic analyses to identify trends, gaps, and opportunities for process optimization; lead cross-functional projects to drive those optimizations. You might thrive in this role if you have: - Experience in revenue operations or strategy at a high-growth, technology company - Strong analytical skills with a focus on attention to detail - Exceptional project management skills, with experience leading complex, cross-functional initiatives - Strong communication skills and executive presence - An understanding of the AI landscape, our applications, and the problems they solve for our customers. - The ability to thrive in ambiguity and work autonomously - Exceptional organizational skills - The ability to operate with high horsepower, be adept at frequent context switching and working on multiple projects at once with expansive ownership, and ruthless prioritization About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement https://cdn.openai.com/policies/eeo-policy-statement.

About the Team OpenAI’s Hardware organization develops AI-native silicon and system-level solutions for the unique demands of advanced AI workloads. Building on efforts like Jalapeño, the team is developing future generations of AI-native silicon and tightly integrated systems to power the next generation of frontier models. By co-designing chips, systems, tools, and methodologies, the team helps deliver faster, more efficient, and production-ready hardware for OpenAI’s supercomputing platform. About the Role We’re looking for a product manufacturing engineer, who will be responsible for driving technical initiatives related to manufacturing to ensure product success from concept to launch and through mass production with a specific focus on PCB and PCBa manufacturing and process. You’ll have the opportunity to work with a wide range of stakeholders, from design engineering and operations teams,TPMs, external industry vendors and partners to ensure that all products are developed and delivered on time and to the highest quality standards. This role is based in San Francisco, CA. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees. In this role, you will: - In this role, you’ll be responsible for driving manufacturing and quality initiatives to ensure product success from concept to launch - Lead the product design and the manufacturing process for next-gen AI hardware system development, you will have the opportunity to work with a wide range of stakeholders, from design engineering and operations teams, TPMs and external industry vendors and partners to ensure that all products are developed and delivered on time and to the highest quality standards. - Lead the team to establish NPI product manufacturing process, systems and quality controls, defining clear milestones and deliverables, drive internal process improvements across multiple terms and functions - Provide hands-on product manufacturing analysis during design, development, testing, prototypes and production phases. - Research automation techniques and develop new tests and systems for efficiency. - Own L6 up to potentially L10 product manufacturing development of the hardware product. This includes the PCB, PCBA, cabling and connectorization & L10 assembly spanning internal and external development work through successful deployment into the infrastructure and support of production workloads at scale - Develop and manage overall product manufacturing requirements, scope, schedules, and deliverables with engineering teams, TPMs, suppliers, partners and key stakeholders - Communicate effectively with cross-functional teams to ensure successful execution of programs - Utilize problem-solving skills to resolve issues and overcome obstacles, perform risk assessment, risk mitigation and change management on projects. - Manage multiple projects simultaneously - Monitor project progress and ensure deadlines and standards are met You might thrive in this role if you: - Have an impressive track record of leading complex projects from concept to production launch and have the ability to work with cross-functional teams to ensure successful execution of programs - Are a creative, detail-oriented, and self-motivated individual looking for an exciting opportunity in the tech industry, this could be the perfect role for you - Stay up to date on industry trends and manufacturing technologies for PCB & PCBa - Like being a close partner with cross-functional teams to understand key design changes requiring validation to accurately integrate engineering validation needs into the overall system build - Have experience driving development timelines for new platform introduction and managing internal review processes - Have significant experience driving creativity, quality, and schedule at multinational JDM/CMs & suppliers - Are deeply familiar with PCB material selection, PCBA, BOM component selection, assembly and rework process

About the Team OpenAI’s Hardware organization develops AI-native silicon and system-level solutions for the unique demands of advanced AI workloads. Building on efforts like Jalapeño, the team is developing future generations of AI-native silicon and tightly integrated systems to power the next generation of frontier models. By co-designing chips, systems, tools, and methodologies, the team helps deliver faster, more efficient, and production-ready hardware for OpenAI’s supercomputing platform. About the Role You will develop and evolve the tooling ecosystem that hardware engineers rely on every day — from hardware compilers and IR transformations to simulation, debugging, and automation infrastructure. The work spans software engineering, compiler concepts, and practical hardware workflows, with direct impact on how quickly and effectively we design next-generation AI systems. You’ll collaborate closely with architects, RTL designers, and verification engineers to translate real engineering friction into durable, scalable tooling solutions. In this role you will: - Build and improve the software tooling that makes hardware teams faster: compilation, IR transforms, RTL generation, simulation, debug, and automation. - Extend and integrate hardware compiler stacks (frontends, IR passes, lowering, scheduling, codegen to Verilog/SystemVerilog) and connect them to real design workflows. - Improve developer experience and reliability: reproducible builds, better error messages, faster iteration loops, and dependable CI and regression infrastructure. - Work closely with designers and verification engineers to turn real pain points into durable tools. - Dive into RTL when needed: read and reason about Verilog/SystemVerilog to debug issues, validate tool output, and improve debuggability. - Be willing to go all the way down the stack when necessary, including gate-level views, synthesis results, and implementation artifacts. - Help enable PPA optimization loops by building analysis and automation around area, timing, and power tradeoffs, and by improving tooling that impacts those outcomes. You might thrive in this role if: - Demonstrated ability to build and maintain software (projects, internships, research, open source, or equivalent experience). - Strong CS fundamentals: data structures, algorithms, debugging, and software design. - Proficiency in at least one of Rust, C++, or Python (and willingness to learn the rest). - Familiarity with digital design concepts and the ability to read RTL (Verilog/SystemVerilog) or equivalent hardware descriptions. - Familiarity with compiler or IR-based ideas (representations, passes, transformations, lowering), through coursework or projects. - Comfort operating in ambiguity and iterating quickly with users of your tools. Nice to have skills: - Exposure to compiler and hardware toolchains such as XLS/DSLX, LLVM, Chisel/FIRRTL, CIRCT/MLIR, other novel hardware languages (e.g. HardCaml, SpinalHDL, Spade, PyMTL, Clash, BlueSpec, PyRope) - Experience with Verilog tooling ecosystems (Yosys/RTLIL, Verilator, Slang) or writing tooling around them. - Experience with build and test infrastructure (Bazel, CI systems, fuzzing, performance testing). - Prior work touching synthesis, place and route, static timing analysis, or other PPA-related workflows. To comply with U.S. export control laws and regulations, candidates for this role may need to meet certain legal status requirements as provided in those laws and regulations. About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that

About the Team The Monetization team is a new cross-functional group working across engineering, product, research, and design to build the foundational systems that will help OpenAI scale access to intelligence responsibly. Our mission is to develop user-first, privacy-preserving monetization products, including next-generation ads experiences, that strengthen user trust, unlock economic opportunity, and support OpenAI’s long-term innovation. Monetization plays a critical role in enabling OpenAI to continue pushing the boundaries of AI capabilities while ensuring the benefits of AGI are broadly shared. We believe monetization must be aligned with user value, uphold rigorous privacy and safety standards, and sustain a healthy ecosystem of developers, advertisers, and businesses. This team operates in a greenfield environment and moves quickly through prototyping, experimentation, and iterative deployment. We partner closely with Product, Design, and Research to bring new ad experiences into real-world systems across OpenAI surfaces at global scale, including thoughtfully integrating them into the core ChatGPT experience. About the Role We’re looking for an Android Engineer to help build the native Android experiences and client-side systems that power how ads are structured, rendered, and delivered across OpenAI’s ads ecosystem. This role sits within the Ads Formats team, which owns the creative rendering and presentation layer for next-generation ads experiences across different surfaces and media types. You’ll help build the Android infrastructure and tooling that support formats such as text, image, video, native, conversational, and interactive ads, while ensuring they render reliably and perform efficiently across platforms. You’ll work closely with backend, Product, Design, Research, and Safety partners to shape Android architecture that supports user-first, privacy-preserving monetization experiences within ChatGPT and OpenAI’s broader mobile ecosystem. In this role, you will - Build and ship ads format experiences on Android, including text, image, video, native, conversational, and interactive ad surfaces. - Design and maintain shared Android frameworks and primitives for ad rendering, creative presentation, media handling, format validation, and policy-aware UX patterns. - Own complex Android systems end-to-end across UI architecture, networking, local persistence/state, observability, rendering performance, and release processes. - Build robust integrations with Android platform and ecosystem components, including media playback, deep links, device capabilities, and app lifecycle behavior. - Optimize performance, reliability, and responsiveness at global scale, including rendering quality, scrolling performance, startup time, media load latency, network resiliency, battery usage, and crash-free sessions. - Establish and evolve testing and quality systems, including unit, integration, UI, screenshot, automated regression, and release validation workflows. - Collaborate with Product, Design, Research, backend, and Safety to deliver ads experiences that meet OpenAI’s highest standards for safety, privacy, fairness, and policy compliance. - Provide technical leadership through architecture reviews, mentoring, and setting engineering standards across Android ads formats and monetization surfaces. You might thrive in this role if you - Have 4+ years of professional software engineering experience with meaningful Android ownership. - Have a track record of building and shipping high-quality Android applications in production, especially for user-facing, performance-sensitive, or trust-sensitive flows. - Are fluent in Kotlin and comfortable with Android tooling and architecture, including Gradle, Android Studio, modern app architecture patterns, and Jetpack Compose. - Have experience building polished mobile UI systems, media-rich experiences, rendering frameworks, design systems, or reusable product infrastructure. - Enjoy

About the Team We’re building the core Kotlin-based platform—from architecture to CI—that powers ChatGPT, Sora, and other fast-evolving Android apps. Android is a key platform for ChatGPT, and our focus is helping teams iterate quickly without sacrificing performance or reliability. About the Role We’re hiring Staff+ engineers with backgrounds across the Android platform, including specialists in performance, build/CI, or AI developer productivity. Whether you focus on UI frameworks or automated testing, your impact will be seen in reduced friction, lower complexity, fewer regressions, and improved performance. If you're rethinking how to scale Android development in the era of advanced AI tools, this role is for you. We are hiring in San Francisco, New York, and Seattle, and may consider remote candidates. In this role, you may: - Build and evolve core Kotlin frameworks used across multiple apps and platforms (e.g., caching, state management, observability, navigation, component systems). - Enhance app performance (startup, responsiveness, memory, battery life) through profiling, monitoring, regression prevention, or architectural improvements. - Increase reliability by reducing crashes, improving error handling, and driving release process improvements. - Collaborate closely with product engineering teams to identify pain points and emerging infrastructure needs. - Develop internal tooling and automation (CI, testing, guardrails, Codex agent skills, and systems) to accelerate engineering velocity. - Turn real-world constraints into simple abstractions: intuitive APIs, enforceable contracts, safe defaults. You might thrive in this role if you: - Bring strong expertise in Android development (Kotlin, modern architecture patterns, Jetpack). - Gravitate toward platform challenges: frameworks, architecture, performance, or creating tools that empower other engineers. - Take ownership by identifying key risks/opportunities, driving projects to completion, and adapting quickly. - Care about measurement: instrument thoroughly, define metrics, run experiments, and iterate based on data. - Communicate and collaborate effectively—aligning on interfaces, navigating tradeoffs, and driving cross-team execution. - Think in systems, fight entropy, and enjoy ambiguous challenges. About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement https://cdn.openai.com/policies/eeo-policy-statement.pdf. Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in y

About the Team The Cooperative AI team is scaling OpenAI with OpenAI. We are building a model powered knowledge system that evolves and learns as our products, systems and customers evolve. We leverage our state of the art models, technologies, and products (some external, some still in the lab) to assist or completely automate robust operations supporting both internal and external customers. We support OpenAI customers and internal partners globally, powering systems from customer support to integrity to product insights. We are a self-contained multi-disciplinary team, who enjoy a lightning fast feedback loop with customers at scale, some of whom sit just a few pods away. We iterate fast, and engineer for reliable long-term impact. We're constantly looking for the similarities and patterns in different types of work, and focus on building simple primitives, to apply world class knowledge to many domains. The work of this team exemplifies use of OpenAI technologies. We build systems so everyone can see the leverage that is possible with well designed AI-based implementations. We do this by working through internal use cases focused on Customers (specifically knowledge systems, automation systems, and automated agent systems) to prove impact, then we scale. About the Role We’re looking for a Backend Software Engineer to help architect and scale the infrastructure that powers our knowledge systems. This is a deeply technical and highly cross-functional role where you’ll build robust systems and backend services that serve as the foundation for how knowledge is created, accessed, and applied across OpenAI. In this role, you will: - Design, build, and maintain backend services and APIs to support intelligent automation and knowledge systems - Integrate and structure data across internal platforms, transforming it into formats optimized for use by downstream systems and AI workflows. - Collaborate closely with product, research, and engineering teams to integrate OpenAI models into high-leverage workflows - Own the full development lifecycle of new backend systems and internal platform capabilities - Build with scale and maintainability in mind, while rapidly iterating on new ideas You might be a great fit if you have: - 4+ years of backend engineering experience at product-driven companies (excluding internships) - Proficiency in backend technologies. Our tech stack includes Python, FastAPI, and Postgres - Experience designing and scaling distributed systems, APIs, or data processing pipelines - A pragmatic mindset. You’re comfortable shipping iteratively while building toward a long-term vision - An interest in structured knowledge representation, internal search, agent infrastructure, or systems that evolve over time Curiosity about AI/ML and excitement to work alongside world-class research and product teams (hands-on experience is a bonus, not a must) About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement https://cdn.openai.com/policies/eeo-policy-statement.pdf. Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction

About the Team The Strategic Initiatives & Operations team is in need of a Technical Program Manager (TPM) to streamline our processes, including full safety governance and integration of various safety research and mitigations into our ChatGPT, API, and any frontier models. This role is critical for driving safe deployment of our new models, synthesizing inputs from multiple stakeholders, ranging across research, product, engineering, legal and policy, and ensuring all the risks are effectively and properly monitored, mitigated or resolved. About the Role As a TPM, you will be responsible for critical tasks ranging from tracking safety research progress and risk tables to overseeing the quality of human data campaigns – acting as the connective tissue to enhance the deployment of OpenAI’s safety system. Additionally, you will create and execute a compute roadmap for your team to ensure that our top priorities are resourced while taking advantage of new opportunities to make key safety research discoveries. Your primary focus will be to ensure our models are qualified for safe deployment. This role is based in San Francisco, CA. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees. In this role, you will: - Manage key risk areas and corresponding stakeholders. - Keep track of a stack of existing and future mitigations for every major product and model deployment. - Standardize the lifecycle of risk assessment, setting safety bars, consolidating inputs from multiple stakeholders across research, product, engineering, legal and policy, pre-launch safety reviews and post-launch followup. - Manage pre-launch safety reviews. - Share launch calendars and key safety practices and evaluations with our key parter (i.e. Microsoft). - Develop comprehensive documentation for all the safety work, including metrics, evaluations, and progress tracking across multiple teams within OpenAI. - Help with publishing and open sourcing safety learnings, standards, datasets and benchmarks with the public. You might thrive in this role if you: - Possess an advanced degree in a hard science, with a PhD being advantageous, or a demonstrated track record of engineering expertise. - Have an extensive track record of successfully delivering high-profile, complex technical projects against tight deadlines. - Are technically adept, and have effectively partnered with engineering and fundamental research teams of the highest caliber. - Expertise in designing and implementing simple, scalable processes that solve complex problems. - Are relentlessly resourceful and thrive in ambiguous, fast-paced environments. - Strong knowledge of content integrity and moderation, including industry best practices and regulatory guidelines. - Exceptional written and verbal communication skills. - Care about AGI safety. About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement https://cdn.openai.com/policies/eeo-policy-statement.pdf. Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered f

ABOUT THE TEAM The Consumer Products team at OpenAI builds end-to-end hardware and software systems that bring AI into the physical world. We work at the intersection of custom silicon, embedded systems, operating systems, and cloud services to deliver reliable, production-ready devices at scale. Within Consumer Products, the camera stack is a critical sensing component. The team partners closely with electrical engineering, silicon vendors, systems, and higher-level perception and product teams to bring up new hardware, stabilize capture pipelines, and ensure camera systems are robust, debuggable, and ready for real-world deployment. This work spans early prototypes through production, with a strong emphasis on correctness, repeatability, and long-term reliability. ABOUT THE ROLE As a Camera Firmware Engineer, you will own low-level camera enablement on custom hardware—from early board bring-up through stable production capture. You will develop and maintain the firmware and software that makes camera sensors reliable, controllable, and debuggable, forming the foundation for higher-level camera pipelines and product features. This role is highly hands-on and systems-oriented. You will work close to the hardware, diagnose real-world timing and integration issues, and build tooling that accelerates iteration across the entire camera stack. This role is based in San Francisco, CA. We follow a hybrid work model with four days per week in the office and offer relocation assistance to new employees. IN THIS ROLE, YOU WILL - Bring up new camera sensors and modules on prototype and production boards, including link stability, sensor control, and correct power, reset, and clock sequencing. - Develop and maintain low-level camera software, including sensor drivers, board configuration, and camera subsystem integration across hardware revisions. - Enable and validate core capture paths for development and production, including RAW capture for debugging, still capture, and hardware-accelerated video encode and streaming with stable timestamps and long-duration reliability. - Stand up camera control and repeatability features, including basic 3A loop exposure, manual overrides and locks, and deterministic presets to support validation and debugging. - Build and maintain camera bring-up tooling, such as capture scripts, automated sweeps, manifests, and debugging utilities that make issues reproducible and easy to triage. - Partner closely with electrical engineering, camera pipeline owners, and systems teams to define interfaces, unblock integration, and keep the camera stack stable as the device evolves. YOU MIGHT THRIVE IN THIS ROLE IF YOU: - Deep experience shipping embedded camera systems, including sensor bring-up, driver development, and board-level debugging. - Strong C/C++ experience with embedded or Linux-based systems; comfortable debugging across kernel and userspace boundaries. - Hands-on understanding of common camera hardware interfaces (for example, MIPI CSI and sensor control buses) and the practical realities of bring-up, including power, reset, clocking, and sequencing. - Proven track record of building reliable capture paths and effective debug workflows that accelerate iteration through reproducible failures and well-scoped fixes. PREFERRED QUALIFICATIONS - Experience with common mobile or embedded SoC camera stacks and vendor frameworks. - Experience integrating and debugging hardware acceleration blocks adjacent to camera pipelines, such as video encode and decode paths. - Familiarity building higher-level capture pipelines (for example, GStreamer) on top of low-level camera enablement. About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with s

About the Team Safety Systems works to ensure OpenAI’s most capable models can be developed and deployed responsibly. Our work spans evaluations, safeguards, red teaming, deployment decisions, and the systems that help OpenAI understand and reduce risk as models become more capable and widely used. Within Safety Systems, the Trustworthy AI team is growing its safety transparency function: a practice focused on helping external audiences understand OpenAI’s technical safety work with greater clarity, rigor, and continuity. We create and improve the public artifacts that explain how our systems are evaluated for safety, what safeguards we build, what decisions we make, and where uncertainty remains. This work includes system cards, the Deployment Safety Hub, safety-related blogs, public governance documents, and other outputs that communicate technical safety topics to external audiences. It also includes building new ways to make technical safety information easier to understand, navigate, and use—including AI-assisted workflows, data visualizations, and interactive tools that make complex technical work more legible over time. About the Role We are looking for a Safety Transparency Editor to own the editorial quality of key safety transparency artifacts and systems. This is a hands-on role for someone who can write crystal-clear, pitch-perfect explanations of the hardest and highest-stakes technical safety topics that OpenAI tackles, and who can lean into AI to build systems that help the broader organization do this work better. Your core responsibility is to shape and execute how our technical safety work is externally communicated: identifying the narrative thread, exercising judgment about which details matter, determining where additional context, explanation, or supporting evidence is needed, translating complexity without sacrificing precision, and helping external audiences understand both the safety measures we’ve taken and the uncertainties that remain. To do this work effectively, you will need to be comfortable educating yourself, using AI tools and existing internal evidence, about the nuances of technical safety work taking place across OpenAI. You will serve as the editorial driver behind system cards and related transparency materials, partnering closely with Safety Programs, researchers, evaluators, red-teamers, policy experts, legal partners, product marketing and communications teams, and other launch stakeholders. You will transform complex technical safety topics into public-facing artifacts that are rigorous, accessible, and faithful to the underlying substance. You’ll also be expected to use AI deeply in your own practice—not simply as a learning and drafting tool, but as a means of rethinking how this work gets done. You should instinctively look for opportunities to build workflows, automate repetitive tasks, improve consistency, and create systems that enable the organization to produce high-quality transparency artifacts at scale and speed. This role demands deep ownership and accountability. The ideal candidate is equally at home refining a tricky explanation of a nuanced technical point, and investing in building systems that make the next ten explanations easier to produce. This role is ideal for someone who combines the judgment of an exceptional editor with the mindset of a builder. You should be comfortable using your voice and judgment while approaching the work with humility, intellectual honesty, and a deep respect for technical nuance. In This Role, You Will Serve as the narrative DRI for system cards and related transparency artifacts from initiation through publication. Partner with the Safety Programs team, researchers, evaluators, red-teamers, policy experts, legal teams, communications partners, and launch teams to translate technical findings into public-facing materials. Write clear, precise explanations of highly technical safety topics for external audiences without sacrificing rig

Location: San Francisco, CA (Hybrid: 4 days onsite/week). Relocation assistance available. About the Team: We build foundational platform software that enables reliable, secure, and performant products. The team works across system layers and partners closely with adjacent engineering groups to deliver robust capabilities from concept through launch. About the Role: We’re seeking a System Software Engineer to design, implement, and debug core platform components and the pipelines that build and update system images. You’ll work across operating system layers, focusing on performance, security, and deep system debugging to ship production‑grade systems. In this role, you will: - Design, implement, and debug system‑level components and services across kernel and user space. - Configure and maintain OS platform services (init, services, networking, security policies) and related tooling. - Build and operate image and update pipelines, ensuring reliability, reproducibility, and rollback safety. - Instrument and analyze performance using profiling and tracing; optimize CPU, memory, I/O, and power usage. - Own platform observability and reliability: logging, crash capture, watchdogs, and diagnostics. - Collaborate with cross‑functional teams to define interfaces and deliver end‑to‑end features. - Establish strong engineering practices: code review, CI, reproducible builds, and release management. - Partner with external suppliers to support builds and deployments. You might thrive in this role if you: - Have shipped production systems software on modern operating systems. - Are proficient in C/C++ and a scripting language, and comfortable with OS internals (concurrency, memory management, filesystems, networking, power management). - Bring strong systems debugging skills using debuggers, tracers, profilers, and logs across kernel/user‑space boundaries. - Understand configuration of platform services and interfaces, and can translate requirements into stable, well‑documented APIs. - Are fluent in user‑space foundations (service management, IPC, networking, packaging, automation). - Have experience building platform images and designing update mechanisms for reliability and security. Preferred Qualifications: - Exposure to platform security (secure boot, sandboxing, mandatory access controls, attestation). - Experience with graphics/media, hardware acceleration, or high‑throughput data paths. - Familiarity with connectivity stacks and network configuration. - Observability and diagnostics in distributed or resource‑constrained environments. - Work on open‑source platforms or contributions to systems projects. About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement https://cdn.openai.com/policies/eeo-policy-statement.pdf. Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorpor

About the Team The Intelligence and Investigations team seeks to rapidly detect and disrupt abuse in AI technologies to ensure their safe use. We are dedicated to identifying emerging abuse trends, analyzing risks, and working with our internal partners to implement effective mitigation strategies to protect against misuse. Our efforts contribute to OpenAI's overarching goal of developing AI that benefits all of humanity. About the Role As an Intelligence Systems Engineer, you’ll be focused on advancing our Intelligence & Investigations efforts at OpenAI, ensuring the safe and responsible use of AI across our products and services. We are seeking a self-starter to prototype, develop, and maintain new tools and processes that integrate OpenAI’s models and infrastructure to enable internal teams to make sense of large, open-domain datasets, fight abuse, and inform high-stakes decisions. You will be a crucial technical bridge between our data scientists and subject matter experts and technical teams like Platform Integrity, Safety Systems, and Research by leading the development of innovative tools and processes that bolster goals in scaled collections, investigations, and analysis. The ideal candidate has strong analytical and data skills, with a background in both prototyping and building scalable systems that can swiftly detect emerging threats, process vast amounts of information, and deliver insights to stakeholders. We value professionals with outstanding communication skills, a commitment to continuous learning, and who are dedicated to promoting the responsible use of AI. This role is based in San Francisco, CA. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees. In this role, you will: - Prototype, build, and maintain at-scale intelligence systems that detect, triage, and monitor targeted signals from both open-source and internal data - Analyze requirements and deliver end-to-end solutions that address complex intelligence challenges while ensuring code quality and scalability - Be a crucial technical bridge between our Intelligence needs and technical teams like Platform Integrity, Safety Systems, and Research - Contribute to shaping the team’s technical strategy and design user interfaces for non-technical investigators and analysts - Prototype new applications to automate team workflows and route leads - Report on scaled impact using advanced data analysis and visualization products - Work closely with internal stakeholders and address their technical intelligence needs You might thrive in this role if you have / are: - Experience in engineering and project management, ideally with a focus on security, intelligence, or data analysis products. - Strong technical background and proven track record of building and maintaining systems that enable users to make sense of large, open-domain datasets, fight abuse, and inform high-stakes decisions. - Proficiency in data analysis, SQL / Python, and application of novel AI techniques for problem-solving. - Demonstrated ability to leverage cross-functional teams, manage complex product ecosystems, and deliver results in a fast-paced and sometimes ambiguous environment. - Strong belief in & passion for the value of AI in enabling humans to better understand the complexity of the world About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex

About the Team OpenAI's Marketing team helps customers understand, adopt, and get value from OpenAI's products and platform. The SMB Ads Marketing team is building the growth engine for small and medium-sized business advertisers: helping them discover the platform, sign up, launch campaigns, understand performance, and grow spend over time. We take a data-driven approach to understanding customer needs, market dynamics, and funnel behavior. We partner closely with Product, Engineering, Data Science, Sales, Partnerships, Marketing Operations, Design, and Communications to create a cohesive end-to-end advertiser experience and help businesses unlock value from OpenAI's advertising platform. About the Role We are hiring a Growth Marketing Manager, SMB Ads to help build and execute high-velocity growth programs for small business advertisers. This person will work across acquisition, activation, lifecycle, and conversion, with an initial focus on helping advertisers move from interest and sign-up to first meaningful spend & retention over time This is a hands-on growth role for someone who loves turning ideas into shipped experiments. You will build campaigns, lifecycle journeys, landing page tests, messaging tests, audience experiments, AI-assisted workflows, reporting improvements, and practical conversion programs. As the SMB Ads business grows, this role may continue to support acquisition and activation and expand deeper into same-store growth, lifecycle, retention, and repeat spend. In This Role, You Will: - Execute growth experiments across acquisition, activation, lifecycle, and early retention. - Build email, in-product, landing page, audience, messaging, and offer tests that help SMB advertisers reach first spend and repeat value. - Use AI tools to prototype marketing assets, automate workflows, analyze funnel data, generate creative variations, and build internal growth systems. - Partner with Growth, Product, Engineering, Data Science, and Marketing Operations to turn strategy into shipped experiments and measurable learnings. - Support improvements to sign-up, onboarding, campaign creation, measurement, and advertiser education. - Maintain experiment documentation, QA checklists, learnings, and performance readouts. - Translate ambiguous growth ideas into concrete tests, campaign plans, launchable assets, and clear next steps. - Help identify new ways to convert, activate, retain, and grow SMB advertisers. You Might Thrive in This Role If You: - Have experience in growth marketing, lifecycle marketing, GTM engineering, marketing operations, product growth, demand generation, or performance marketing. - Have shipped campaigns, experiments, automations, landing page tests, lifecycle programs, or conversion initiatives. - Are comfortable working across ambiguous, fast-moving growth problems with incomplete information. - Can interpret funnel metrics, campaign performance, experiment results, and customer behavior signals. - Are fluent with AI tools and use them to accelerate marketing execution, workflow automation, analysis, personalization, prototyping, or internal tooling. - Have strong writing and customer judgement, especially for translating product value into clear SMB-facing messaging. - Enjoy working across Marketing, Product, Engineering, Data Science, and Operations. - Have experience with SMB growth, self-serve funnels, advertiser growth, PLG SaaS, marketplaces, commerce, fintech, local services, creator tools, or other high-volume customer funnels. - Have experience with lifecycle marketing, CRM, segmentation, activation, onboarding, winback, or retention programs. - Have familiarity with ads products, SMB acquisition, campaign setup, advertiser education, or self-serve growth funnels, including platforms such as Google Ads, Meta Ads, TikTok for Business, Amazon Ads,, Reddit, Snap or similar. - Are comfortable using no-code or low-code tools, analytics tools, marketing automation platforms, SQL, scripting,

About the Team: OpenAI’s Hardware organization develops AI-native silicon and system-level solutions for the unique demands of advanced AI workloads. Building on efforts like Jalapeño, the team is developing future generations of AI-native silicon and tightly integrated systems to power the next generation of frontier models. By co-designing chips, systems, tools, and methodologies, the team helps deliver faster, more efficient, and production-ready hardware for OpenAI’s supercomputing platform. About the Role OpenAI is developing custom silicon to power the next generation of frontier AI models. We’re looking for experienced Design Verification (DV) Engineers to ensure functional correctness and robust design for our cutting-edge ML accelerators. You will play a key role in verifying complex hardware systems—ranging from individual IP blocks to subsystems and full SoC—working closely with architecture, RTL, software, and systems teams to deliver reliable silicon at scale. In this role you will: - Own the verification of one or more of: custom IP blocks, subsystems (compute, interconnect, memory, etc.), or full-chip SoC-level functionality. - Define verification plans based on architecture and microarchitecture specs. - Develop constrained-random, directed, and system-level testbenches using SystemVerilog/UVM or equivalent methodologies. - Build and maintain stimulus generators, checkers, monitors, and scoreboards to ensure high coverage and correctness. - Drive bug triage, root cause analysis, and work closely with design teams on resolution. - Contribute to regression infrastructure, coverage analysis, and closure for both block- and top-level environments. You might thrive in this role if you have: - BS/MS in EE/CE/CS or equivalent with 3+ years of experience in hardware verification. - Proven success verifying complex IP or SoC designs in industry-standard flows - Proficient in SystemVerilog, UVM, and common simulation and debug tools (e.g., VCS, Questa, Verdi). - Strong knowledge of computer architecture concepts, memory and cache systems, coherency, interconnects, and/or ML compute primitives. - Familiarity with performance modeling, formal verification, or emulation is a plus. - Experience working in fast-paced, cross-disciplinary teams with a passion for building reliable hardware. To comply with U.S. export control laws and regulations, candidates for this role may need to meet certain legal status requirements as provided in those laws and regulations. About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement https://cdn.openai.com/policies/eeo-policy-statement.pdf. Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the fol

About the Team The IT and Security organization builds the systems, data foundations, and automation that help OpenAI operate securely and reliably at scale. We support critical domains across identity, access, infrastructure security, enterprise systems, and internal productivity. As OpenAI grows, audit readiness and control assurance increasingly depend on reliable data: accurate system inventories, access populations, change records, configuration state, exception signals, and evidence generated directly from source systems. Our goal is to move beyond manual evidence collection and build scalable data products, automated validation, and continuous control monitoring that make security and IT controls measurable, repeatable, and defensible. About the Role We are looking for an IT Controls Data Engineer to build the data infrastructure that powers audit readiness, IT controls, evidence automation, and continuous control monitoring. In this role, you will design and maintain the pipelines, datasets, models, validation logic, dashboards, and evidence exports that make IT controls measurable, repeatable, and defensible. You will work across Security, IT, Infrastructure, Engineering, Finance Risk Management, and auditors to turn complex system behavior into reliable control data products. This is a technical builder role. The ideal candidate is strong in data engineering and analytics engineering, comfortable working with enterprise and security system data, and able to explain data lineage, source-system behavior, and control logic clearly to technical and audit stakeholders. You’ll be responsible for - Building reliable data pipelines, models, and datasets for IT controls, including access, identity, configuration, change, ticketing, exception, and evidence data. - Creating data quality, lineage, reconciliation, and completeness checks that make control data defensible for SOX and other audit use cases. - Designing automated evidence generation workflows that produce complete, accurate, and repeatable audit populations, exports, dashboards, and control artifacts. - Developing control monitoring logic to detect drift, missing evidence, stale access, direct system changes, overdue activity, and other control exceptions. - Partnering with Security, IT, Infrastructure, Engineering, Risk Management, and system owners to understand source systems, validate data, and improve automation reliability. - Translating technical system behavior, data flows, access models, and validation results into clear explanations for auditors, control owners, and technical stakeholders. We’re looking for someone with - Strong data engineering, analytics engineering, or software/data systems experience, including building reliable datasets, pipelines, queries, dashboards, or automated reporting workflows. - Hands-on SQL experience and proficiency with at least one scripting or programming language such as Python. - Experience working with enterprise system data, such as identity platforms, HR systems, ticketing systems, cloud environments, source control systems, SaaS applications, or audit/compliance tooling. - Strong understanding of data modeling, lineage, completeness, accuracy, reconciliation, validation, observability, and repeatability. - Ability to reason through messy source-system data, inconsistent identifiers, nested groups, stale records, missing owners, direct assignments, and downstream application drift. - Experience supporting security, IT controls, SOX, audit readiness, risk, compliance, or regulated technology environments. - Ability to explain technical systems, data flows, and control logic clearly to both engineering and audit stakeholders. - Strong ownership, judgment, and attention to detail in high-stakes, time-sensitive environments. Nice to have: - Experience with Entra ID, Workday, GitHub, Databricks, Salesforce, or similar platforms. - Experience with cloud infrastructure environments such as Azure, AWS, or GCP. You might thr

ABOUT THE TEAM Safety Systems sits at the forefront of OpenAI’s mission to build and deploy safe AGI, ensuring our most capable models can be released responsibly and for the benefit of society. Within Safety Systems, we are building a misalignment research team to focus on the most pressing problems for the future of AGI. Our mandate is to identify, quantify, and understand future AGI misalignment risks far in advance of when they can pose harm. The work of this research taskforce spans four pillars: 1. Worst‑Case Demonstrations – Craft compelling, reality‑anchored demos that reveal how AI systems can go wrong. We focus especially on high importance cases where misaligned AGI could pursue goals at odds with human well being. 2. Adversarial & Frontier Safety Evaluations – Transform those demos into rigorous, repeatable evaluations that measure dangerous capabilities and residual risks. Topics of interest include deceptive behavior, scheming, reward hacking, deception in reasoning, and power-seeking, along with other related areas. 3. System‑Level Stress Testing – Build automated infrastructure to probe entire product stacks, assessing end‑to‑end robustness under extreme conditions. We treat misalignment as an evolving adversary, escalating tests until we find breaking points even as systems continue to improve. 4. Alignment Stress‑Testing Research – Investigate why mitigations break, publishing insights that shape strategy and next‑generation safeguards. We collaborate with other labs when useful and actively share misalignment findings to accelerate collective progress. About the Role We are seeking a Senior Researcher who is passionate about red‑teaming and AI safety. In this role you will design and execute cutting‑edge attacks, build adversarial evaluations, and advance our understanding of how safety measures can fail—and how to fix them. Your insights will directly influence OpenAI’s product launches and long‑term safety roadmap. IN THIS ROLE, YOU WILL - Design and implement worst‑case demonstrations that make AGI alignment risks concrete for stakeholders, focused on high stakes use cases described above. - Develop adversarial and system‑level evaluations grounded in those demonstrations, driving adoption across OpenAI. - Create automated tools and infrastructure to scale automated red‑teaming and stress testing. - Conduct research on failure modes of alignment techniques and propose improvements. - Publish influential internal or external papers that shift safety strategy or industry practice. We aim to concretely reduce existential AI risk. - Partner with engineering, research, policy, and legal teams to integrate findings into product safeguards and governance processes. - Mentor engineers and researchers, fostering a culture of rigorous, impact‑oriented safety work. YOU MIGHT THRIVE IN THIS ROLE IF YOU - Already are thinking about these problems night and day, and share our mission to build safe, universally beneficial AGI and align with the OpenAI Charter. - Have 4+ years of experience in AI red‑teaming, security research, adversarial ML, or related safety fields. - Possess a strong research track record—publications, open‑source projects, or high‑impact internal work—demonstrating creativity in uncovering and exploiting system weaknesses. - Are fluent in modern ML / AI techniques and comfortable hacking on large‑scale codebases and evaluation infrastructure. - Communicate clearly with both technical and non‑technical audiences, translating complex findings into actionable recommendations. - Enjoy collaboration and can drive cross‑functional projects that span research, engineering, and policy. - Hold a Ph.D., master’s degree, or equivalent experience in computer science, machine learning, security, or a related discipline (nice to have but not required). About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push t

By applying to this role, you will be considered for Research Scientist roles across all teams at OpenAI. About the Role As a Research Scientist here, you will develop innovative machine learning techniques and advance the research agenda of the team you work on, while also collaborating with peers across the organization. We are looking for people who want to discover simple, generalizable ideas that work well even at large scale, and form part of a broader research vision that unifies the entire company. We expect you to: - Have a track record of coming up with new ideas or improving upon existing ideas in machine learning, demonstrated by accomplishments such as first author publications or projects - Possess the ability to own and pursue a research agenda, including choosing impactful research problems and autonomously carrying out long-running projects - Be excited about OpenAI’s approach to research Nice to have: - Interested in and thoughtful about the impacts of AI technology - Past experience in creating high-performance implementations of deep learning algorithms About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement https://cdn.openai.com/policies/eeo-policy-statement.pdf. Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form https://form.asana.com/?d=57018692298241&k=5MqR40fZd7jlxVUh5J-UeA. No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link https://form.asana.com/?k=bQ7w9h3iexRlicUdWRiwvg&d=57018692298241. OpenAI Global Applicant Privacy Policy https://cdn.openai.com/policies/global-employee-and-contractor-privacy-policy.pdf At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.

ABOUT THE TEAM OpenAI’s Hardware organization develops AI-native silicon and system-level solutions for the unique demands of advanced AI workloads. Building on efforts like Jalapeño, the team is developing future generations of AI-native silicon and tightly integrated systems to power the next generation of frontier models. By co-designing chips, systems, tools, and methodologies, the team helps deliver faster, more efficient, and production-ready hardware for OpenAI’s supercomputing platform. ROLE SUMMARY We are seeking a Networking Operating System Firmware Engineer to help bootstrap and scale the switching layer of our AI supercomputers. In this role, you will build and maintain custom NOS images from scratch, using open source components from SONiC, SAI, FRR, and related networking stacks while working across the Linux kernel, switch ASIC SAI/SDKs, platform drivers, control-plane services, and orchestration layers. This is a software engineering role that requires a deep understanding of networking, NOS internals, switch hardware, and production systems. You will design, implement, test, and debug production NOS software across platform drivers, routing and control-plane state, ASIC programming, observability, and fleet integration. The engineer in this role should be able to work through ambiguous, open-ended technical problems and drive feature development across software, hardware, and vendor boundaries. This role is based in San Francisco, CA. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees. IN THIS ROLE, YOU WILL - Design, develop, and maintain custom NOS images for large-scale AI fabrics, using open source components from SONiC, FRR, and related networking stacks. - Integrate, build and configure Linux kernel components, device drivers, switch ASIC SDKs, and SAI layers. - Bring up new switch platforms, including thermal and fan control, power monitoring, transceiver management, watchdogs, OSFP CMIS, LEDs, CPLDs, and board-specific platform logic. - Extend and customize NOS services for routing, telemetry, control-plane state, and distributed automation. - Implement and debug route, neighbor, next-hop, and ECMP programming flows from control-plane intent through ASIC hardware state. - Build software mechanisms that distinguish control-plane acceptance, SAI/SDK acceptance, and explicit hardware programming acknowledgement. - Work with hardware teams to validate ASIC configurations, link bring-up, SerDes tuning, buffer profiles, and performance baselines. - Evaluate switch silicon SDK releases, track vendor deliverables, and validate platform requirements with vendors and ASIC partners. - Debug complex issues spanning kernel drivers, platform monitoring, NOS services, routing agents, orchestration services, hardware signals, ASIC state, and network topology. - Integrate switches into fleet-wide monitoring, remote diagnostics, telemetry pipelines, and automated lifecycle workflows. - Develop robust CI/build pipelines for reproducible NOS builds and controlled rollout across the fleet. - Support factory bring-up and qualification all the way through mass deployment. - Collaborate on networking protocols and technologies that improve performance and reliability at AI factory scale. YOU MIGHT THRIVE IN THIS ROLE IF YOU HAVE - Proven experience working with SONiC or comparable NOS stacks such as FBOSS, Cumulus Linux, Arista EOS, Junos PFE-level integration, or equivalent platform software. - Strong software engineering fundamentals: clear interfaces, data models, state-machine design, error handling, testing, observability, performance debugging, and maintainable C/C++, Python, Go or Rust code. - Experience with Linux kernel internals, network device drivers, platform drivers, hwmon, I2C/SMBus, CPLDs, or board-level platform software. - Experience integrating or debugging Broadcom, Marvell, NVIDIA, Intel, or comparable switch ASIC SDKs and SAI implementations. - U

About the Team The Transportation team, part of OpenAI's Real Estate & Workplace (REW) organization, supports programs that help employees move efficiently, safely, and reliably across offices and regions. The team partners closely with internal stakeholders to improve the employee transportation experience and ensure transportation considerations are incorporated into broader workplace planning. About the Role As a Business Operations Partner, Transportation Program, you will help strengthen how the Transportation team works across the company. You will focus on cross-functional coordination, stakeholder support, communication, and operational follow-through. We're looking for people who enjoy solving problems, building relationships, bringing order to ambiguity, and helping teams operate effectively. You will serve as a trusted partner to internal teams, help surface and organize feedback, connect stakeholders to the right resources, and improve visibility across transportation priorities. This role is based in San Francisco, CA. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees. In this role, you will: - Build strong working relationships across REW, including Events, Design & Construction, Food, Security, Facilities, and Workplace Operations. - Partner with teams across the company to understand transportation-related needs, coordinate next steps, and ensure transportation considerations are reflected in broader workplace planning. - Represent the Transportation team in meetings, planning discussions, and cross-functional initiatives as needed. - Gather input, questions, and feedback from employees and internal partners, summarize nuanced issues clearly, and route requests to the appropriate owner, resource, or process. - Track open items and help ensure timely follow-up across stakeholders and team priorities. - Support internal team planning through trackers, documentation, notes, timelines, and action items. - Help organize recurring business rhythms, project milestones, operational priorities, and readiness activities tied to office openings, moves, or workplace changes. - Draft clear internal communications, updates, FAQs, and guidance materials that help partners understand available transportation programs, processes, and tools. - Improve internal processes that help the team stay organized, responsive, and able to support a smooth employee transportation experience as the company grows. You might thrive in this role if you: - Have 4+ years of experience in business operations, workplace operations, program coordination, employee experience, or similar roles. - Bring strong written and verbal communication skills, with the ability to summarize complex or nuanced topics clearly. - Are highly organized, detail-oriented, and able to manage multiple priorities while following through reliably. - Build trust across teams and are comfortable partnering with internal stakeholders in sensitive or nuanced situations. - Navigate ambiguity with sound judgment, curiosity, and a solutions-oriented mindset. - Have experience working in workplace, hospitality, real estate, operations, internal service environments, or cross-functional programs. - Are comfortable using project management tools, spreadsheets, and workflow systems to create clarity and momentum. - Are able to travel at minimum 1-2 times per quarter and support transportation needs across APAC, LATAM, and EMEA. About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spec

About the Team At OpenAI, we’re building the connective tissue between our mission and our people. People Innovation Labs is a fast-moving engineering team embedded in the People organization, focused on rethinking how we find and retain the best talent and empower everyone to do their best work. From recruiting to culture, we’re designing systems that give our People Team a significant edge by infusing OpenAI’s models and first-principles thinking into every aspect of our work. Our projects range from greenfield 0-1 products like OpenHouse (our internal knowledge hub) to AI-powered automations and scalable recruiting tools. We’re defining the future of work at OpenAI, creating a blueprint for how AI can supercharge productivity, culture, and innovation. About the Role We are looking for a self-starter engineer who loves building new products in an iterative and fast-moving environment. This team is for full stack product engineers who are deeply curious about culture, recruiting and people development, and want to know everything from the business strategy and metrics down through the code that gets us there. In this role, you will work with members of the People Team and leaders across the company to build software focused on HR, culture and recruiting from the ground up. You’ll also innovate on how we apply LLMs in these domains. In this role, you will: - Own the full product development lifecycle for new people products end-to-end - Talk to internal stakeholders to understand their problems and design solutions to address them - Work with the research team to share relevant feedback and iterate on applying their latest models - Collaborate with a cross-functional team of engineers, HRBPs, recruiters, researchers, product managers, designers, and people in operations to create cutting-edge products Your background might look something like: - 4+ years of professional engineering experience (excluding internships) in relevant roles at tech and product-driven companies - Former founder, or early engineer at a startup who built a product from scratch is a plus - Interest in building company culture and/or recruiting the world’s most talented people - Proficiency with JavaScript, React, and other web technologies - Proficiency with a backend language (we use Python) - Some experience with relational databases like Postgres/MySQL - Interest in AI/ML (direct experience not required) - Ability to move quickly in an environment with loosely defined tasks and competing priorities or deadlines About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement https://cdn.openai.com/policies/eeo-policy-statement.pdf. Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative

ABOUT THE TEAM The Interpretability team studies internal representations of deep learning models. We are interested in using representations to understand model behavior, and in engineering models to have more understandable representations. We are particularly interested in applying our understanding to ensure the safety of powerful AI systems. Our working style is collaborative and curiosity-driven. ABOUT THE ROLE OpenAI is seeking a researcher passionate about understanding deep networks, with a strong background in engineering, quantitative reasoning, and the research process. You will develop and carry out a research plan in mechanistic interpretability, in close collaboration with a highly motivated team. You will play a critical role in helping OpenAI ensure future models remain safe even as they grow in capability. This will make a significant impact on our goal of building and deploying safe AGI. In this role, you will: - Develop and publish research on techniques for understanding representations of deep networks. - Engineer infrastructure for studying model internals at scale. - Collaborate across teams to work on projects that OpenAI is uniquely suited to pursue. - Guide research directions toward demonstrable usefulness and/or long-term scalability. You might thrive in this role if you: - Are excited about OpenAI’s mission https://openai.com/about/ of ensuring AGI benefits all of humanity, and are aligned with OpenAI’s charter https://openai.com/charter/. - Show enthusiasm for long-term AI safety, and have thought deeply about technical paths to safe AGI. - Bring experience in the field of AI safety, mechanistic interpretability, or spiritually related disciplines. - Hold a Ph.D. or have research experience in computer science, machine learning, or a related field. - Thrive in environments involving large-scale AI systems, and are excited to make use of OpenAI’s unique resources in this area. - Possess 2+ years of research engineering experience and proficiency in Python or similar languages. - Are deeply curious. About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement https://cdn.openai.com/policies/eeo-policy-statement.pdf. Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to se

About the Team Codex is OpenAI's software engineering agent. Codex Security extends that work into one of the most important product areas in AI: helping organizations find, validate, prioritize, and fix real vulnerabilities in the software they build and depend on. The Codex Cyber team is building the product and platform foundations for AI-native application security. This includes Codex Security product experiences, cloud-based security analysis, platform controls across Codex, customer deployment and support tooling, and infrastructure that helps security researchers and cyber models improve over time. The team is early, small, and growing quickly, with a mandate to move fast and hire exceptional builders. About the Role We are looking for software engineers first: strong full-stack or product-minded generalists who can own ambiguous product and platform problems end to end. Security experience is helpful, and security curiosity is important, but this is not a role for security specialists who only occasionally write code. The right person is an excellent builder who is excited to work in security and can turn complex research, product, and customer needs into reliable systems. You will work across user-facing product surfaces, developer workflows, backend services, security analysis pipelines, cloud infrastructure, and internal tooling. You may build features that make Codex Security more useful for application security teams, systems that scale cloud-based security analysis, platform controls that make agentic coding safer, or infrastructure that helps security researchers and models become more effective. You will collaborate closely with engineering, product, security research, infrastructure, and customer-facing partners as Codex Cyber becomes a major product and platform investment for OpenAI. In this role, you will: - Build end-to-end product features for Codex Security, from developer-facing interfaces to APIs, backend services, and workflow tooling. - Own ambiguous 0-to-1 projects across product pods, platform security controls, customer deployment workflows, and cyber model infrastructure. - Translate security research and model capabilities into intuitive workflows that help teams find, validate, prioritize, and remediate vulnerabilities with high signal. - Design scalable, observable systems for long-running analyses across large codebases and enterprise environments. - Partner with product, security research, infrastructure, and customer-facing teams to iterate quickly from real-world feedback. - Help shape the technical direction and architecture of Codex Cyber as the team and product surface area grow. You might thrive in this role if you: - Are an excellent software engineer with strong fundamentals and enough range to work across product, backend, infrastructure, and developer tooling. - Enjoy building high-quality product and platform experiences across the full stack. - Are high-agency, low-drama, and comfortable owning features from concept to production in a fast-moving environment. - Have built developer tools, workflow-heavy platforms, security products, internal infrastructure, or product features for technical users. - Have strong product instincts and care about making complex technical systems understandable and useful. - Are excited by security and AI. Direct experience in product security, application security, vulnerability research, defensive security, identity, SSO, or secure developer workflows is a plus, not a requirement. - Like ambiguous 0-to-1 work and can turn messy requirements into crisp, scalable systems. Goals & impact - Build AI-native security products that help users find and fix important vulnerabilities in real software systems before attackers do. - Increase the usefulness and trustworthiness of Codex Security by turning research insights into dependable workflows, product surfaces, platform controls, and remediation tooling. - Help define a new category of security tooling w

About the Team OpenAI’s Hardware organization develops AI-native silicon and system-level solutions for the unique demands of advanced AI workloads. Building on efforts like Jalapeño, the team is developing future generations of AI-native silicon and tightly integrated systems to power the next generation of frontier models. By co-designing chips, systems, tools, and methodologies, the team helps deliver faster, more efficient, and production-ready hardware for OpenAI’s supercomputing platform. About the Role We’re looking for an experienced systems software engineer to help define and build the host software stack for our custom next-generation AI systems. You will work close to the hardware on performance-critical software, including Linux kernel drivers, high-throughput I/O paths, and system-scale networking and RDMA. This role spans architecture, implementation, platform bring-up, debugging, and performance optimization. You will work across hardware and software boundaries to make new systems usable end to end, from low-level device interfaces through userspace tooling and production validation. In this role you will: - Design, implement, and debug host-side systems software for AI infrastructure, including Linux kernel drivers and supporting userspace components. - Build and optimize software paths for high-throughput, low-latency communication, including RDMA and related networking functionality. - Develop software around PCIe, DMA, NICs, accelerators, memory movement, and device interaction. - Bring up new hardware platforms and diagnose complex issues across kernel, firmware, networking, and hardware boundaries. - Build tooling for integration, testing, diagnostics, observability, qualification, and performance characterization. - Collaborate with hardware, networking, and platform teams to define interfaces and integrate new capabilities. - Work with external vendors where needed to integrate technologies and drive issues to resolution. - Contribute across the systems software stack as the platform and team evolve. - Help shape the technical direction and engineering practices for a growing systems software stack. You might thrive in this role if you have: - Experience building low-level or performance-critical systems software. - Strong programming skills in C or C++, with proficiency using Python and Linux tooling for automation and debugging. - Strong Linux systems fundamentals and the ability to debug across hardware and software boundaries. - Hands-on experience in at least one relevant area, such as Linux kernel drivers, kernel networking, RDMA, PCIe, DMA, NIC software, accelerator software, or high-performance I/O. - Experience owning complex software projects from design through implementation, bring-up, and validation. - Ability to thrive in ambiguity, work across subsystem boundaries, and build systems from scratch. - Strong cross-functional communication skills. Preferred Qualifications - Experience developing Linux kernel drivers or other OS-level performance-critical components. - Familiarity with RDMA or RoCE, ibverbs, kernel networking, or congestion-control concepts such as ECN and DCQCN. - Experience with PCIe, DMA, peer-to-peer communication, SR-IOV, IOMMU, dma-buf, or related accelerator and I/O subsystems. - Experience bringing up accelerators, NICs, SoCs, or custom hardware platforms. - Experience profiling and optimizing high-throughput, low-latency systems. - Familiarity with Rust or experience using Rust for systems programming. To comply with U.S. export control laws and regulations, candidates for this role may need to meet certain legal status requirements as provided in those laws and regulations. About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely p

About the Team The Developer Experience team at OpenAI has a singular focus: empowering developers globally. Our mission is to provide every developer and startup on the planet with the most delightful and seamless experience to integrate AI into their applications and products. We ensure developers have the tools, resources, and support they need to unlock AI’s full potential. We create inspiring demos, developer tools, sample applications, and technical content that show developers how to build with Codex and frontier models like GPT-5.5 and GPT-Image-2 to create powerful agents and AI-native applications. We collaborate closely with product, engineering, research, and GTM teams to ensure the developer journey, from onboarding with Codex to first API call to production deployment, is seamless, effective, and delightful. About the Role As a Developer Experience Engineer, you will create compelling technical content, developer tools, and sample applications designed to inspire developers and enable them to succeed with Codex and OpenAI’s APIs and products for developers. You will engage with developers and technical founders, demonstrating best practices and building innovative applications powered by frontier models, multimodal capabilities, and tools like Codex. We’re looking for people who combine strong technical skills, creativity, and a passion for engaging with and empowering developers. In this role, you will: - Develop demos and sample applications that showcase best practices for building with Codex, frontier models, multimodal capabilities, and agents. - Create high-quality technical content, including tutorials, blog posts, videos, and code samples, to educate and inspire the developer community about our models, APIs, and Codex. - Actively engage with and foster a vibrant Singapore and global developer ecosystem around OpenAI's platform and products. - Represent OpenAI at developer events and online, serving as a knowledgeable and approachable advocate for developers. - Gather and synthesize developer feedback to inform and improve our product roadmap. - Collaborate cross-functionally with product, engineering, and marketing teams to drive adoption and success across OpenAI's developer products, including Codex and our APIs. - Contribute directly to improving and refining OpenAI's developer products, interfaces, and surfaces. - Own challenges end-to-end, proactively closing gaps and developing new skills to solve complex problems. - Travel across APAC up to ~30% of the time to meet developers, support events, and build local communities. You might thrive in this role if you: - Are passionate about crafting exceptional developer experiences and creating inspirational technical content and projects. - Bring a robust full-stack engineering background with demonstrated experience building innovative applications using AI and large language models (LLMs). - Mandarin language skills as the role will also cover clients and communities that are Mandarin-speaking. - Have strong user empathy and care deeply about delivering experiences developers truly appreciate. - Have a proven track record of successfully creating engaging technical content, compelling demos, or innovative developer tooling that accelerates technology adoption. - Find joy in coding, continuously shipping high-quality, impactful software. - Excel in dynamic environments characterized by rapidly evolving priorities, ambiguity, and competing deadlines. - Are an exceptional collaborator who thrives working cross-functionally and enjoys partnering with diverse teams. - Maintain a genuine commitment to AI ethics and safety, strongly aligning with OpenAI's responsible AI development principles. - Stay deeply current on OpenAI's latest developer products and offerings, including Codex, APIs, and frontier models, and translate that fluency into useful demos, content, and developer guidance. About OpenAI OpenAI is an AI research and deployment company dedicated to

ABOUT THE TEAM The Statsig team within OpenAI builds the experimentation, feature rollout, dynamic configuration, and analytics systems that help OpenAI ship products with speed, safety, and evidence. Our work sits on the critical path for how product, engineering, research, and go-to-market teams learn from real-world usage and make high-confidence decisions. Statsig began as an independent company focused on helping builders move faster through trustworthy experimentation and feature management. After Statsig joined OpenAI, the team began the next chapter: bringing that deep product expertise, customer intuition, and mature platform infrastructure into OpenAI as the experimentation and rollout platform for every product we ship. Today, we support teams across ChatGPT, Codex, model measurement, consumer experiences including ads, business subscriptions, developer products, and the shared infrastructure that connects them. These teams rely on Statsig to safely introduce new capabilities, compare product and model behavior, measure impact, and roll changes forward or back with confidence. We are at a defining moment in the platform journey. OpenAI has the data, product surface area, and pace of innovation to learn faster than almost any organization in the world, but that potential only becomes real if teams can experiment responsibly, measure clearly, and roll out changes safely. Adoption of the platform is accelerating rapidly across the company, and recent SDK and server-side infrastructure work has already produced measurable wins in latency, reliability, memory usage, and compute efficiency for important services. Based out of OpenAI’s Bellevue office, we are a close-knit team that values in-person collaboration, urgency, craft, and impact. We build for other builders, and the best version of this team is one where every OpenAI product team can move faster because the experimentation and rollout layer is dependable, fast, and easy to use. ABOUT THE ROLE We are looking for a product engineer to help build the systems that make experimentation and rollout a first-class capability across OpenAI. You will work across frontend, backend, SDK, data, and infrastructure surfaces, with a focus on making complex workflows feel simple for the teams shipping OpenAI’s most important products. This role is not only about adding features to a platform. It is about shaping the operating system OpenAI uses to decide what to launch, how to learn from it, and how to protect users and products as we scale. OpenAI’s next phase depends on our ability to move quickly without losing rigor, and Statsig is one of the places where that balance becomes real. You will collaborate closely with teams building ChatGPT, Codex, model measurement workflows, consumer monetization and ads, business subscription experiences, developer products, and shared infrastructure. You will translate their launch and measurement needs into platform capabilities that can support the full company, not just one-off use cases. IN THIS ROLE, YOU WILL - Build product experiences and platform capabilities for experimentation, feature flags, dynamic configuration, rollout safety, and analytics. - Partner with product teams to understand launch workflows, measurement needs, and decision points, then turn those insights into durable platform features. - Improve SDK and server-side systems so experimentation and configuration are fast, reliable, and safe for high-scale OpenAI services. - Help teams across ChatGPT, Codex, model measurement, ads, business subscriptions, developer products, and infrastructure use Statsig effectively. - Design workflows that make it easier to create experiments, interpret results, monitor rollouts, and act quickly when a launch needs adjustment. - Contribute to the technical direction of a platform that must support rapid adoption, high availability, and increasingly sophisticated product and model evaluation needs. - Work from the Bellevue office with

About the Team The Solutions Engineering team is made up of trusted technical advisors who help organizations adopt OpenAI’s technology safely, effectively, and responsibly. We partner closely with customers, Sales, Product, Engineering, and Security to translate frontier AI capabilities into practical workflows that create real-world impact. Cybersecurity is one of the most urgent areas where AI can help. As frontier models become more capable at reasoning over code, logs, infrastructure, and security evidence, organizations need guidance on how to evaluate, validate, and deploy these systems safely. Our goal is to help customers move from identifying risks to implementing solutions. About the Role We are committed to bringing together people from diverse backgrounds and perspectives who are excited to help build and deploy safe, useful AI. We are seeking a solutions engineer to partner with our Enterprise customers and ensure they achieve tangible business value from our models through the OpenAI suite of products. You will partner with senior business stakeholders to understand their pre-sales needs, guide their AI strategy, and identify the highest value use cases and applications. You will work with business and technical teams to demonstrate the value of our solutions and recommend architectural patterns to kickstart their implementation and development. You will work closely with Enterprise Sales, Security, and Product teams. We are looking for a Field Security Specialist to help security leaders and hands-on practitioners understand how OpenAI models, APIs, Codex, and agentic workflows can be applied to real cybersecurity use cases. This is a customer-facing specialist role for someone who can move fluidly between CISO-level conversations, practitioner-level technical depth, and hands-on solution design. You’ll help customers evaluate OpenAI for workflows like secure code review, vulnerability triage, threat modeling, remediation, SOC workflows, detection engineering, and security validation. You will be the field’s cyber expert: shaping discovery, demos, pilots, reference architectures, implementation guidance, and repeatable assets that help customers adopt AI safely in high-stakes security environments. In this role, you will: - Lead cyber workflow discovery with customers across AppSec, DevSecOps, vulnerability management, SOC/IR, detection engineering, red team, cloud security, and GRC automation. - Build and deliver customer-facing demos, workshops, proofs of concept, and reference architectures for AI-enabled security workflows. - Scope pilots with clear success criteria, data requirements, integrations, evaluation methods, safety boundaries, and human approval points. - Advise customers on safe implementation patterns, including tool/function calling, structured outputs, sandboxing, data handling, guardrails, auditability, and approval-gated side effects. - Translate between executive buyers and hands-on security practitioners, helping each audience understand value, risk, and practical next steps. - Create reusable field assets such as demo narratives, playbooks, FAQs, objection handling, qualification guides, assessment templates, and competitive positioning. - Bring recurring customer requirements, product gaps, blockers, and high-value cyber workflows back to Product, Engineering, Security, and GTM teams. You might thrive in this role if you: - Have deep practitioner credibility across cybersecurity domains such as application security, cloud security, identity, vulnerability management, secure SDLC, incident response, detection engineering, or attacker tradecraft. - Have worked in a customer-facing, advisory, consulting, solutions engineering, security architecture, or technical field role. - Can build credible demos or prototypes using APIs, Codex, agents, scripts, CLIs, GitHub workflows, CI/CD systems, logs, tickets, scanners, or other common security tooling. - Understand how to design AI workflows with

About the Team OpenAI is building the infrastructure foundation for the next generation of AI. The Data Center Engineering team defines the strategy, reference architectures, technical requirements, and delivery standards for the large-scale data centers that support OpenAI research, products, and infrastructure partners. As a Data Center Infrastructure Electrical Engineer, you will help define, validate, and scale the electrical power systems that support high-density AI compute. You will translate evolving compute requirements into practical facility and rack-power architectures, evaluate new technologies and vendor solutions, and drive technical decisions across design, manufacturing validation, construction, commissioning, deployment, and operations. This role is best suited for a senior hands-on engineer with deep experience in mission-critical power systems, strong judgment under ambiguity, and the ability to connect facility infrastructure, hardware requirements, controls, telemetry, reliability, and operations. About the Role We are seeking a senior electrical infrastructure engineer to lead the development of reliable, scalable, and efficient power architectures for high-density, liquid-cooled AI data centers. The ideal candidate has strong practical experience with critical electrical systems at data centers or comparable industrial scale, including medium-voltage and low-voltage distribution, utility interfaces, backup power, UPS and battery systems, rack power delivery, grounding, protection, controls, and monitoring systems. You should be comfortable moving between long-range architecture, detailed engineering review, lab validation, vendor qualification, field deployment, and operational troubleshooting. Key Responsibilities - Design and optimize electrical topologies and equipment strategies that reduce cost, accelerate schedules, improve efficiency, increase scalability, and maintain high reliability and maintainability. - Review and develop basis-of-design documents, single-line diagrams, equipment specifications, commissioning plans, and power system studies including load flow, short circuit, protection coordination, arc flash, and grid transient compliance. - Lead technical evaluation of equipment vendors, manufacturers, design consultants, commissioning agents, contractors, and test labs. Review submittals, schematics, certifications, quality records, and test reports. - Evaluate AC and DC power distribution options for high-density compute, including rectifier architectures, busway, rack power shelves, power supplies, cable management, redundancy strategies, serviceability, and fault isolation. - Partner with mechanical, cooling, controls, hardware, networking, construction, and operations teams to ensure electrical systems support liquid-cooled GPU rack deployments and reliable facility operation. - Drive FAT, SAT, witness testing, burn-in, reliability testing, interoperability testing, and integrated systems testing for critical infrastructure and rack deployments. - Help guide and operate an R&D program to validate new equipment, rack designs, telemetry, operating envelopes, failure scenarios, and facility-to-hardware interactions. - Define telemetry and controls requirements including metering, waveform capture, breaker and relay status, UPS and battery health, generator status, rack power, CDU status, coolant conditions, alarms, and control states. - Analyze lab data, operational incidents, power quality events, nuisance trips, thermal excursions, controls alarms, and rack-level failures to improve designs, procedures, vendor quality, and reliability models. - Create engineering standards, test procedures, commissioning scripts, operating procedures, decision records, risk registers, and concise executive summaries. - Provide senior technical escalation support during design reviews, construction, manufacturing validation, commissioning, energization, deployment, and operational events. - Raise the t

About the Team The Agent Infrastructure team at OpenAI is responsible for building systems that enable training and deployment of highly useful AI agents, both internally and for the world. We work hand-in-hand with researchers to design and scale the environment in which agentic models are trained – providing a workspace for AI models to execute code, debug issues, and develop software just as human SWEs do. Our training environment for agentic models operates at an extremely high scale and has the flexibility to emulate any environment in which an agent might work. At the same time, our team builds and maintains OpenAI’s core platform for the deployment and execution of agents in production. Our systems power products such as Codex, Operator, tool use in ChatGPT, and future agentic products. Some of the most challenging technical problems in scaling the capabilities and utility of agents and agentic models lie in the infrastructure layer – and our team is focused on building the research and production systems that enable OpenAI to train the most capable models in the world, and maximize the utility of our agentic products for users around the world. About the Role As a Software Engineer on the Agent Infrastructure team, you will have the opportunity to work closely with both research and product at OpenAI - building and scaling systems to train highly capable agentic models, and building the platform and integrations to launch new agents to hundreds of millions of users worldwide. Your work will consist of both building new capabilities - standing up the infrastructure and integrations needed to train more complex agentic models - and rapidly scaling these new capabilities to some of the largest compute clusters in the world. At the same time, you’ll be instrumental to the launch of agentic products at OpenAI - building, maintaining, and scaling the production platform on which all agents run. We’re looking for people with deep experience building AI infrastructure and who are used to working closely with researchers to build high-performance systems at massive scale for novel use cases. This role is based in San Francisco, CA or New York City, NY. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees. In this role, you will: - Push massive compute clusters to their limits. You will be a core contributor to a novel container orchestration platform built in-house by our team to scale far beyond what’s possible with systems like Kubernetes. - Develop and maintain FastAPI and gRPC APIs that serve as the interface for our agentic infrastructure used both in training and production. - Use Terraform to stand up and evolve complex infrastructure for both research and production. - Collaborate with research teams to stand up and optimize systems for novel AI training runs and experimental applications. You might thrive in this role if you: - Have deep experience working on large-scale machine learning infrastructure. You know how to reason about training at scale, identifying bottlenecks and engineering solutions to optimize system performance in training environments. - Know how to build new things from 0-1 quickly, and then scale them 1,000,000x. - Have a keen eye for performance and optimization. You know how to squeeze the most performance out of complex, globally-distributed systems. - Know your way around cloud platforms and work with infrastructure-as-code tech like Terraform. - Are driven by solving complex, ambiguous problems at the intersection of infrastructure scalability, virtualization efficiency, and agentic capabilities. - Have deep technical expertise in virtualization and containerization technologies (e.g. Kata, Firecracker, gVisor, Sysbox) and are passionate about optimizing runtime performance. About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the

About the Team The GTM (Go-To-Market) Innovation team is an internal powerhouse revolutionizing how we engage customers through groundbreaking applications of our technology. As an incubator, we amplify the impact of Sales, Technical Success, Enablement, and Revenue Operations by deploying our technology at scale. This team applies advanced capabilities to real-world interactions — reshaping conversations with customers, learning from every exchange, and finding novel ways to show the value of our technology. About the Role We’re looking for product mindset software engineers to join the GTM Innovation team. As a product engineer on this team, you’ll help OpenAI meet the world at scale. You’ll partner closely with go-to-market teams to understand their workflows, identify leverage points, and ship novel solutions using OpenAI’s API platform. You’ll move quickly from prototype to production, and your work will directly shape how customers experience our technology in the field. This role is ideal for engineers who want to be close to users, own end-to-end outcomes, and help define entirely new categories of enterprise software. In this role, you will: - Build high-impact applications and tools that accelerate OpenAI’s go-to-market efforts - Work across the full product lifecycle for GTM: prototype, iterate, ship, and maintain - Embed with Sales, Technical Success, and Revenue Operations to identify user needs and build for them - Apply OpenAI’s models in novel ways to solve real-world customer and internal workflow problems - Translate learnings into feedback for Applied and Research teams to inform product development You’ll thrive in this role if you: - Have 4+ years of experience as a software/ML/product engineer working on user-facing systems - Former founder, or early engineer at a startup who built a product from scratch is a plus - Are fluent in Python or JavaScript and comfortable building full-stack applications - Have built or prototyped LLM-powered workflows using the OpenAI API (or similar) - Take initiative, move quickly, and operate with a strong sense of ownership - Enjoy working closely with end users and shaping 0→1 products - Are collaborative, curious, and motivated to make an outsized impact at the frontier of AI About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement https://cdn.openai.com/policies/eeo-policy-statement.pdf. Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data

About the Team OpenAI’s mission is to ensure that general-purpose artificial intelligence benefits all of humanity. Our Communications team’s ethos is to support OpenAI’s mission and goals by clearly and authentically explaining our technology, values, and approach to safely building powerful AI. About the Role OpenAI is seeking an experienced communications professional to join our Platform & Research Communications team. This role will work closely with the Research Communications Lead and partner deeply with safety researchers, alignment researchers, and cross-functional teams to shape how OpenAI’s safety research is understood by researchers, journalists, policymakers, and the broader public. This position is responsible for developing and executing external communications strategies around OpenAI’s safety research—from alignment and evaluations to broader work that helps advance the safe development and deployment of increasingly capable AI systems. The ideal candidate brings strong science or technical fluency, excellent storytelling instincts, and experience helping researchers communicate complex work with clarity, accuracy, and nuance. You will partner closely with research leadership, individual researchers, policy, product, safety, legal, and cross-functional communications teams. This role requires both strategic judgment and hands-on execution in a fast-moving environment where research, public understanding, and high-stakes safety narratives intersect. This role is based in San Francisco, CA and follows a hybrid schedule (three days per week in office). Relocation assistance is available. In this role, you will: Shape Safety Research Narratives Develop clear, credible external narratives around OpenAI’s safety research, including alignment, evaluations, preparedness, interpretability, and other areas connected to the safe development of frontier AI. Translate complex technical work into accessible stories without oversimplifying, overstating impact, or creating unnecessary alarm. Help define and reinforce OpenAI’s POV on key safety research topics and how they connect to OpenAI’s broader research roadmap and mission. Partner Deeply with Researchers Work directly with safety and alignment researchers to understand their work, identify the most important ideas, and help position those ideas publicly. Serve as a communications thought partner to researchers—helping them anticipate questions, clarify implications, and communicate with precision. Build communications plans that help researchers share their work through the right channels, at the right level of depth, and with the right context. Lead Proactive Storytelling & Content Strategy Develop proactive storytelling opportunities across blogs, explainers, video, podcasts, events, and other channels beyond traditional media. Help identify creative ways to elevate safety research and make the work more legible to expert and non-expert audiences. Look across the safety research portfolio to identify broader themes, narrative opportunities, and moments where OpenAI can contribute meaningfully to public understanding. Support Research Launches & Publications Partner with research teams to plan communications for major papers, evaluations, model-related research, safety initiatives, and other technical publications. Collaborate with editorial, design, social, policy, and research teams on blogs, explainers, visuals, briefing materials, and supporting content. Ensure launches are grounded in evidence, appropriately scoped, and aligned with OpenAI’s safety, policy, and communications priorities. Lead Research-Focused Media Engagement. Build and maintain trusted relationships with science, technology, AI, and business journalists who cover frontier AI and safety research. Manage proactive and reactive media engagement related to safety research announcements, papers, collaborations, and emerging narratives. Prepare researchers and executives for interviews, briefings, eve

ABOUT THE TEAM The Core Network Engineering team owns the end-to-end networking stack that connects OpenAI’s compute infrastructure — spanning global WAN/edge connectivity, data-center networking, and high-performance host/xPU networking used for large-scale training and inference workloads. This team is responsible for ensuring networking is never the bottleneck to model training efficiency, cluster reliability, or fleet expansion. They design and operate the systems that provide predictable, high-throughput, low-latency connectivity across some of the world’s most advanced AI infrastructure. ABOUT THE ROLE We’re looking for engineers to help build and operate the networking foundation behind OpenAI’s frontier AI systems. Depending on your background and area of focus, you may work across host networking, datacenter fabrics, or global WAN infrastructure. The problems span low-level systems software, distributed infrastructure, protocol readiness, observability, performance engineering, automation, and large-scale network operations. You’ll work on systems where microseconds of latency, tail performance, and network reliability directly impact model training efficiency and production serving performance. This role is ideal for engineers who enjoy operating close to the hardware/software boundary and solving performance-critical infrastructure problems at massive scale. IN THIS ROLE, YOU WILL: - Design, build, and operate networking systems that support large-scale AI training and inference infrastructure - Improve performance, reliability, and scalability across host networking, datacenter fabrics, and WAN systems - Develop automation for provisioning, configuration management, validation, upgrades, and lifecycle management of networking infrastructure - Build tooling and observability systems for network health, performance analysis, debugging, and automated remediation - Optimize network performance across technologies such as RDMA, RoCE, InfiniBand, Ethernet, and high-performance GPU interconnects - Define and operationalize networking protocols, readiness criteria, and continuous validation systems - Partner closely with compute, storage, hardware, and infrastructure teams to ensure networking scales predictably with fleet growth - Contribute to architecture decisions around topology design, capacity planning, failure domains, and network reliability - Diagnose complex distributed systems and networking issues across large heterogeneous compute environments YOU MIGHT THRIVE IN THIS ROLE IF YOU: - Have experience building or operating large-scale networking or distributed systems infrastructure - Are comfortable working close to the hardware/software boundary - Have experience with Linux networking, kernel systems, NICs, RDMA, or performance-sensitive infrastructure software - Have worked with high-performance networking technologies such as InfiniBand, RoCE, DPDK, or large-scale Ethernet fabrics - Have experience with datacenter networking, WAN systems, or host networking stacks - Enjoy debugging complex systems and performance bottlenecks across multiple layers of the stack - Are comfortable writing production software in languages such as C++, Python, or Go - Have strong systems fundamentals across networking, operating systems, distributed systems, or infrastructure engineering - Are motivated by building infrastructure that directly accelerates frontier AI research and deployment About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportu

About the Team OpenAI Finance ensures the organization is positioned for long-term success as we pursue our mission. The Strategic Sourcing & Procurement function plays a critical role in enabling OpenAI to deliver impact across research, product development, technology infrastructure, and services by helping the company scale responsibly, securely, and with strong commercial discipline. Our work sits at the intersection of innovation and execution. We partner closely with teams across OpenAI to translate rapidly evolving business needs into scalable, compliant, and economically sound external partnerships. As OpenAI continues to grow at pace, services sourcing is becoming increasingly strategic across the company. Every business unit relies on external service providers in different ways — to extend capacity, access specialized expertise, support operations, and accelerate execution. Done well, Procurement becomes a source of trust and momentum, helping OpenAI move faster with the right partners, stronger commercial outcomes, and the right level of protection. About the Role We are seeking an experienced Strategic Sourcing (GTM) Leader to lead strategic sourcing and commercial enablement for OpenAI’s Go-to-Market organization across B2B and B2C channels. You will manage substantial and rapidly growing spend while shaping sourcing strategies and scalable commercial pathways across Media, Creative, Production, Influencer, Agency, Sponsorships, Analytics, Communications, and Event suppliers in support of high-impact global initiatives. You’ll help evolve our GTM procurement function from reactive deal support into a speed-enabling, scalable commercial engine that delivers cost efficiency, launch readiness, and strong governance in a fast-moving environment. In this role, you will: - Develop and execute sourcing strategies across GTM, Brand, Global Affairs, Events, Growth, and Partnership activities—spanning both B2B and B2C channels—that align with our mission and business objectives. - Lead the strategic sourcing, procurement, and supplier relationship management of key partners across media planning and buying, creative and production, creator/influencer, agencies, communications, sponsorships, partnerships, events, research, and analytics. - Lead and develop a lean, high-performing team of direct reports and contractors while remaining deeply hands-on in complex negotiations and high-volume deal execution; accountable for team output, execution quality, stakeholder experience, and scaling the function effectively. - Negotiate high-value and high-visibility commercial agreements that optimize cost, improve flexibility, and support time-sensitive launches, campaigns, placements, and partnerships. - Partner closely with Marketing , Creative & Production, Growth, Partnerships, Finance, Legal, and other cross-functional stakeholders to understand business priorities and align sourcing strategies accordingly. - Oversee a complex GTM supplier ecosystem, ensuring supplier scalability, rapid onboarding, seamless activation, and timely service delivery across multiple concurrent workstreams. - Identify and implement cost and commercial optimization strategies without compromising quality, speed, business impact, or launch readiness. - Enable major campaigns, brand moments, partnerships, and events by building sourcing approaches that can operate effectively under compressed timelines and evolving business requirements. - Monitor market trends, supplier capabilities, and emerging GTM commercial models to inform sourcing decisions and maintain a competitive advantage. - Provide strategic insights on spend, supplier performance, cycle times, savings, and sourcing initiatives to senior leadership to support fast, informed decision-making. - Ensure compliance with internal policies and external regulations while designing fit-for-purpose procurement pathways that reduce friction and maintain appropriate risk controls. - Build repeatable com

About the team The Applied team at OpenAI safely brings cutting-edge technology to the world. We have released widely used products such as ChatGPT, Sora, and the OpenAI API, powering models including GPT-5 and a growing set of multimodal capabilities across text, image, audio, and video. Our team also manages large-scale inference and platform infrastructure that supports these experiences at global scale. With much more on the horizon, our impact continues to grow. Our customers build fast-growing businesses using our APIs, unlocking product capabilities that were previously unimaginable. ChatGPT and Sora exemplify the breadth of what’s now possible across text, image, audio, and video experiences. As these capabilities expand, we prioritize the responsible use of our technology, emphasizing safe and thoughtful deployment over unchecked growth. Within Applied Engineering, the Financial Engineering team builds the frontend platforms and workflows that power how OpenAI’s products are priced, purchased, and managed at scale. We work closely with Go-To-Market and Finance partners to translate complex commercial requirements into clear, reusable billing experiences. We’re looking for a frontend engineer to help define and evolve these billing platforms, shaping the primitives, interfaces, and patterns that product teams rely on as our offerings and customer needs continue to grow in complexity. In this role, you will: - Create scalable, reusable UI components and patterns that support a wide range of billing use cases across products. - Partner closely with backend engineers to deliver end-to-end billing capabilities spanning subscriptions, usage-based pricing, and enterprise offerings. - Build tools and surfaces that allow teams like Finance, Sales, Support, and GTM to manage and reason about billing data efficiently. - Create AI powered features for billing workflows and platform tooling to automate repetitive tasks, surface insights, and improve decision-making. - Help define frontend architecture, standards, and patterns for a shared billing platform used by teams across OpenAI. - Collaborate with Product, Data, Finance, Go-To-Market, and Engineering partners to translate ambiguous requirements into clear, high-quality interfaces. You might thrive in this role if you: - Software engineering experience, with added experience in payments, billing, or monetization seen as a bonus. - Strong frontend engineering experience building and maintaining production-grade web applications, with an emphasis on usability, scalability, and maintainability. - Enjoy engaging with various partners, particularly those outside of engineering. - Have a keen and innate desire to learn and acquire new skills, coupled with a strong ability to impart that knowledge clearly and succinctly to others. - Bring significant experience in developing (and redeveloping) production systems to launch new product capabilities and to handle scaling challenges. - Are deeply invested in creating an exceptional user experience, taking pride in crafting products that address customer needs. - Ability to move fast in an environment where things are sometimes loosely defined and may have competing priorities or deadlines. About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protecte

About the Role The Engineering Acceleration Delivery / Continuous Deployment team builds and operates the systems that safely ship OpenAI’s infrastructure and product code to production. We own the deployment platform, release pipelines, and rollout safety mechanisms that allow engineers across OpenAI to deploy changes rapidly while minimizing operational risk. Our mission is to make production deployments fast, safe, and increasingly autonomous. This role sits at the intersection of developer productivity, distributed systems reliability, and large-scale infrastructure orchestration. In This Role, You Will - Design and build continuous deployment infrastructure that safely rolls out changes across dozens of Kubernetes clusters and global regions. - Develop systems for progressive delivery, including canary releases, staged rollouts, and automated rollback. - Improve engineering velocity by reducing friction in the release pipeline and automating manual operational workflows. - Work with product and infrastructure teams to ensure their services are deployable, observable, and resilient at scale. - Implement and evolve deployment methodologies such as GitOps, infrastructure-as-code, and progressive delivery patterns. - Build systems that automatically evaluate deployment health using metrics, logs, traces, and alerts to detect regressions and trigger safe rollbacks. - Build systems that support agent-assisted or autonomous deployment workflows using modern AI tooling. Technologies commonly used in this environment include: - Kubernetes for large-scale container orchestration and runtime infrastructure - Python and FastAPI for internal services - Terraform for infrastructure as code - GitOps-based deployment workflows (e.g., ArgoCD, Flux, or similar systems) - Buildkite for CI orchestration You may be a strong fit if you: - Have worked with Kubernetes-based deployment systems at scale - Have experience building or operating continuous deployment platforms - Are familiar with GitOps tooling such as ArgoCD or Flux - Are excited about building AI-assisted systems and agents that intelligently shepherd software changes from commit to safe production rollout. - Care deeply about safe production rollouts and minimizing blast radius - Enjoy building internal platforms that improve developer productivity across the organization Compensation $230K – $490K + Offers Equity About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement https://cdn.openai.com/policies/eeo-policy-statement.pdf. Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect

About the Role: The Program Manager executes Technology Capital Builds by creating tight alignment across Real Estate and Workplace Services, Corporate IT, Corporate Security and other partner teams to design and deliver technical solutions for capital build outs, including new office buildout and remodels, industrial labs, datacenters and secured facilities. This includes all low voltage, ISP connectivity, network infrastructure, audio visual, physical security and related IT scopes of work. In this role, you will: - Ensure new sites launch with secure and reliable ISP connectivity, network infrastructure, and low voltage systems that are ready to support employees from day one. - Deliver Capital Builds commitments through effective coordination across internal teams, construction partners, and vendors, achieving outcomes on scope, schedule, budget, and quality. - Ensure AV systems across conference rooms, training spaces, all hands venues, digital signage, and wayfinding deliver a consistent and dependable user experience. - Ensure access control, surveillance, and intrusion detection systems are integrated into the built environment and aligned with enterprise security requirements. - Provide leadership with clear visibility into portfolio status, key decisions, dependencies, and emerging risks. - Establish standards, drawing packages, specifications, and documentation that enable repeatable execution and operational consistency across the global portfolio. - Ensure disciplined stewardship of procurement, budgets, and vendor investments across the Capital Builds portfolio. - Identify and mitigate delivery risks early to protect project outcomes, business continuity, and operational readiness. - Ensure all systems are commissioned, documented, and transitioned to support teams with clear ownership and support models in place. You might thrive in this role if you have: - Strong project and program management capabilities. - Strong knowledge of the architectural design process (schematic design, design development, construction documents). - Strong knowledge of commercial real estate construction processes. - Excellent written and verbal communication skills. - Vendor management experience (Vendor vetting, RFP and bid response, performance management, handover). - Understanding of mechanical power, cooling systems and capacity planning. - Ability to read construction and engineering plan drawings. - PMP or equivalent project management certification. About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement https://cdn.openai.com/policies/eeo-policy-statement.pdf. Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job d

About the team OpenAI’s mission is to build safe artificial general intelligence (AGI) which benefits all of humanity. This long-term undertaking brings the world’s best scientists, engineers, and business professionals into one lab together to accomplish this. In pursuit of this mission, our Enterprise Platform team builds the systems that help our GTM teams bring OpenAI products to customers at scale. This role sits close to our emerging ads business, partnering with Ads Sales, Operations, Product, Finance, Legal, and Engineering to create reliable workflows for advertiser lifecycle, campaign readiness, approvals, and revenue operations. About the role Our GTM team helps customers understand the transformational potential of OpenAI’s models, and our internal systems should make that work faster, cleaner, and more intelligent. We’re looking for a Salesforce Ads Systems Engineer to design and build the Salesforce foundation for our ads business. You’ll partner with Ads Sales, Ads Operations, Product, Finance, Legal, and data teams to turn complex advertiser and campaign workflows into scalable, auditable systems. This is an execution-heavy, builder role. The primary charter of this role is ads GTM systems: advertiser account and opportunity workflows, campaign/order readiness, approvals, integrations, and automation that keep ads motions moving cleanly from pipeline through launch, billing, measurement, and reporting. In this role, you'll: - Build Salesforce solutions for ads GTM: Develop user experiences, objects, automations, and guardrails that help Ads Sales and Operations manage advertisers, opportunities, insertion orders, campaign readiness, approvals, and launch handoffs with high data quality. - Engineer integrations across the ads stack: Connect Salesforce with ads platforms, product catalogs, pricing/rate-card systems, data warehouses, billing tools, measurement workflows, CLM, and e-signature systems so advertiser and campaign data stays accurate and auditable. - Test, troubleshoot, and document: Resolve production issues quickly, strengthen observability, and maintain clear documentation aligned with ads operations, financial controls, privacy requirements, and deployment best practices. - Partner cross-functionally: Collaborate daily with Ads Sales, Ads Operations, Product, Finance, Legal, Engineering, and GTM teams to translate ambiguous ads-business needs into durable Salesforce-based solutions. You might thrive in this role if you have: - Advanced Salesforce development (Apex, async patterns, APIs) and data model expertise across account, opportunity, campaign/order, approval, billing, and reporting domains. - Proven experience designing and implementing robust integrations between Salesforce, ads platforms, data warehouses, billing systems, and operational tools. - Proven ability to build, test, document, and deploy scoped solutions using SDLC best practices in fast-moving, highly cross-functional environments. - Strong communication skills and a track record of partnering with Ads Sales, Operations, Product, Finance, Legal, and Engineering teams to deliver complex requirements. - Salesforce certifications (Platform Developer I/II, Application Architect) or prior experience in digital advertising, marketplaces, media, commerce, or high-growth SaaS businesses. Nice to Have - Familiarity with digital advertising concepts including advertiser onboarding, campaign setup/trafficking, insertion orders, rate cards, creative approvals, measurement, billing, and reconciliation. - Experience with ad-serving, measurement, data warehouse, or revenue operations integrations. - Software development experience outside Salesforce. - DevOps management, CI/CD ownership, or Salesforce platform release management. About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and see

About the Team OpenAI’s AI Deployment Engineering team helps organizations turn frontier AI capabilities into safe, reliable, and high-impact production systems. We work with customer executives, product and engineering teams, security leaders, and transformation teams to identify valuable opportunities, accelerate technical implementation, and scale what works. Enterprise deployments are defined by complexity rather than any one industry: existing architectures, diverse data environments, security and governance requirements, multiple stakeholder groups, and organization-wide change. We turn lessons from these deployments into better products and reusable patterns for customers everywhere. About the Role As an Enterprise AI Deployment Engineer, you will partner directly with leading organizations to design, build, and deploy AI systems that deliver measurable business outcomes. You will combine deep technical judgment, hands-on engineering, and customer leadership to take ambitious ideas from use-case selection and architecture through prototyping, evaluation, production launch, and scale. You will write and debug code, build evaluation systems, resolve complex integrations, and guide decisions involving model behavior, reliability, latency, cost, safety, security, governance, and operational readiness. Success is measured by production systems, sustained adoption, and meaningful customer impact—not simply activity or successful demonstrations. This is a rare opportunity to work on consequential real-world deployments at the frontier of AI while directly influencing how OpenAI’s products evolve. This role is based in our SF or NYC office. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees. In this role, you will: - Partner directly with enterprise customers to identify high-value opportunities and translate them into technical architectures, implementation plans, evaluation strategies, and measurable success criteria. - Design, build, and deploy AI systems that solve important customer problems and produce measurable business outcomes. - Work hands-on in code to build prototypes, evaluation harnesses, reference implementations, integrations, and production accelerators. - Make sound technical decisions across models, agents, retrieval, tools, data, reliability, observability, latency, cost, safety, security, and governance. - Diagnose complex implementation challenges, reproduce failures, test hypotheses, and drive blockers toward resolution. - Help customers progress from promising prototypes to reliable production systems, sustained adoption, and scaled impact. - Partner closely with customer engineering teams and OpenAI Product, Research, Engineering, Security, and go-to-market teams, translating deployment experience into high-signal product feedback. - Create reusable architectures, tooling, playbooks, and technical guidance that accelerate future enterprise deployments. You’ll thrive in this role if you: - Have a demonstrated track record of designing, building, and delivering AI or machine-learning systems in enterprise environments, including taking systems from prototype to production. Relevant backgrounds may include applied AI or ML engineering, forward-deployed engineering, software engineering, customer engineering, solutions architecture, or technical consulting. - Can point to substantial personal contributions in code, architecture, evaluation, debugging, or production engineering—not only program or stakeholder management. - Are highly proficient in Python and comfortable working across an AI application stack; experience with JavaScript, TypeScript, or another relevant language is valuable. - Understand how to evaluate AI systems systematically using representative data, graders, production signals, and human judgment. - Have navigated enterprise production requirements such as integrations, reliability, observability, security, privacy, data governan

ABOUT THE TEAM Preparedness is a critical Safety Research team at OpenAI, which is focused on mitigating AI threats to global security https://openai.com/index/updating-our-preparedness-framework/ that could scale to an extreme level of severity. Our work involves: 1. Measurement. Monitoring and predicting the evolving capabilities of frontier AI systems. 2. Mitigation. Keeping misuse safeguards, alignment tools, and security measures on track to adequately address extreme threats that might arise in the future. 3. Coordination. Setting mitigation targets by maintaining OpenAI’s preparedness framework https://openai.com/index/updating-our-preparedness-framework/, and partnering with other staff to achieve these targets. This is urgent, fast-paced work that has far-reaching implications for the company and for society. ABOUT THE ROLE As AI agents become more capable at software engineering, and automate more of our internal work, they could become a dangerous cyber threat. People in this role will help OpenAI prepare for security threats from advanced AI agent insiders. IN THIS ROLE, YOU WILL: - Identify paths by which capable future internal AI agents could compromise OpenAI. - Design security controls - focusing on measures with long lead times that benefit from advanced preparation. - Stress-test defenses with AI agent evaluations and penetration tests YOU MIGHT THRIVE IN THIS ROLE IF YOU: - Are deeply technical across security and modern infrastructure, and are comfortable digging into the details of operating systems, cloud, containers, CI/CD, or distributed systems. - Have strong software engineering skills and enjoy building prototypes yourself. - Are interested in engaging with stakeholders and can do so effectively. - Bonus: have experience securing cloud infrastructure, and are deeply familiar with core components of the AI stack. Compensation Range: $293K - $405K USD About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement https://cdn.openai.com/policies/eeo-policy-statement.pdf. Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. To notify OpenAI that you believe this job posting is non-complia

About the Team The OpenAI Robotics team is focused on unlocking general-purpose robotics and pushing towards AGI-level intelligence in dynamic, real-world settings. Working across the entire model stack, we integrate cutting-edge hardware and software to explore a broad range of robotic form factors. We strive to seamlessly blend high-level AI capabilities with the constraints of physical systems to improve peoples’ lives. About the Role As a Senior Software Engineer, ML Systems & Training Infrastructure, you will be a deeply hands-on engineering force multiplier for the robotics team. You will help keep the training framework and surrounding infrastructure healthy, review and improve code quickly, debug failures across ML systems and infrastructure, and unblock researchers and engineers when the path from idea to working training job gets rough. We’re looking for people who love writing, reading, reviewing, and fixing code; who can get productive quickly in unfamiliar systems; and who bring strong practical judgment without a lot of ego or process overhead. This role will be based in San Francisco, CA and be expected in office 5 days per week and offer relocation assistance to new employees. In this role, you will: - Review, improve, and clean up code across training frameworks and adjacent infrastructure. - Identify risky or low-quality changes before they land, and raise the code quality bar without slowing the team down. - Debug issues across ML training systems, GPUs, clusters, networking, and related infrastructure. - Help researchers and engineers unblock broken training jobs, flaky workflows, and brittle internal tooling. - Improve the reliability, maintainability, and usability of the robotics team’s training framework. - Move quickly on practical engineering problems that directly affect team velocity. You might thrive in this role if you: - Have strong software engineering fundamentals and excellent code review judgment. - Have experience with ML systems, training frameworks, GPUs, distributed systems, infrastructure, or similarly complex technical environments. - Read and debug unfamiliar codebases quickly, and enjoy getting to root cause. - Ship high-quality code with strong velocity and pragmatic judgment. - Are low-ego, responsive, and motivated by helping researchers and engineers move faster. - Prefer being a highly effective hands-on IC over driving broad process-heavy initiatives. - Have experience reviewing messy, fast-moving, or AI-generated codebases. Compensation Range: $295K - $380K USD About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement https://cdn.openai.com/policies/eeo-policy-statement.pdf. Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direc

About the Team The Coding team is reimagining how software is built in the AI era. We build tools and workflows that help software engineers work faster, tackle more ambitious projects, and spend less time on repetitive tasks. AI has already transformed how code is written, but software engineering extends far beyond coding. Our mission is to apply AI across the entire software development lifecycle (SDLC) — from design and implementation to code review, testing, debugging, issue remediation, maintenance, documentation, and user support. The team is also responsible for developer-facing Codex experiences including the Codex IDE Extension and the terminal interface, which are used daily by developers ranging from individual open-source contributors to some of the world’s largest engineering organizations. The team also works closely with the open-source software community, building tools that help maintainers and contributors manage increasingly complex projects. We believe AI can make open-source development more sustainable by reducing the operational burden of reviewing contributions, triaging issues, maintaining quality, and supporting growing communities. By building the future of software development, we're helping advance OpenAI's mission of ensuring that the benefits of AI reach people around the world. About the Role We’re hiring a Full Stack Software Engineer to help invent the next generation of AI-powered software development workflows. “Full stack” in this role means much more than traditional frontend and backend development. You'll own complete product experiences, spanning user interfaces, workflow orchestration, agent and prompt design, backend systems, and cloud infrastructure. This is a highly product-oriented role. You'll work directly on the workflows developers use every day, identifying bottlenecks and rethinking how software gets built in a world where AI agents are active participants in the development process. The features you ship will influence how developers around the world write, review, test, and maintain software. In this role, you will: - Build end-to-end product experiences that span frontend applications, backend services, agent workflows, cloud infrastructure, and developer tooling. - Design AI-powered workflows that generalize across a wide variety of software engineering teams, languages, codebases, and development practices. - Discover and implement novel ways to apply AI to eliminate friction throughout the software development lifecycle. - Partner closely with product, design, and research to understand developer needs and rapidly translate insights into shipped product improvements. - Work directly with users — including developers at OpenAI, open-source contributors, startups, and large enterprises — to understand pain points and validate solutions. - Improve the reliability, observability, scalability, and performance of the systems and workflows you build. You might thrive in this role if you have: - Strong software engineering fundamentals and experience building production systems. - Experience with TypeScript, Rust, or a similar systems or application programming language. - Deep familiarity with modern software development tools, workflows, and engineering practices. - Experience using AI-assisted development tools and a strong intuition for their strengths, weaknesses, and emerging opportunities. - A desire to own products and features end-to-end, from conception through launch and iteration. - Strong product judgment and a bias toward learning from real user feedback. - Creativity in reframing problems, challenging assumptions, and inventing new workflows rather than simply optimizing existing ones. The ideal candidate is someone who loves building developer tools, thinks deeply about how software gets built, and is excited by the opportunity to redefine those workflows from first principles in the age of AI. About OpenAI OpenAI is an AI research and deployment company dedica

ABOUT THE TEAM The Foundations team focuses on how model behavior changes as we scale models, data, and compute. The team studies the interactions between model architecture, optimization, and training data, and uses those insights to guide how new models are designed and trained. ABOUT THE ROLE In this role, you will build the systems that enable advanced AI models to run efficiently at scale. You will operate at the intersection of model research and systems engineering, translating new architectural ideas into high-performance inference systems that surface real tradeoffs in performance, memory, and scalability. Your work will directly influence how models are designed, evaluated, and iterated on across the research organization. By developing and evolving high-performance inference infrastructure, you will enable researchers to explore new ideas with a clear understanding of their computational and systems implications. This is not a product-serving role. Instead, it is a research-enabling systems role focused on performance, correctness, and realism - ensuring that AI research is grounded in what can actually scale. IN THIS ROLE, YOU WILL: - Design and build high-performance inference runtimes for large-scale AI models, with a focus on efficiency, reliability, and scalability. - Own and optimize core execution paths, including model execution, memory management, batching, and scheduling. - Develop and improve distributed inference across multiple GPUs, including parallelism strategies, communication patterns, and runtime coordination. - Implement and optimize inference-critical operators and kernels informed by real-world workloads. - Partner closely with research teams to ensure new model architectures are supported accurately and efficiently in inference systems. - Diagnose and resolve performance bottlenecks through profiling, benchmarking, and low-level debugging. - Contribute to observability, correctness, and reliability of large-scale AI systems. YOU MIGHT THRIVE IN THIS ROLE IF YOU: - Have experience building production inference systems, not just training or running models. - Are comfortable with GPU-centric performance engineering, including memory behavior and latency/throughput tradeoffs. - Have worked on multi-GPU or distributed systems involving batching, scheduling, or runtime coordination. - Can reason end-to-end about inference pipelines, from request handling through execution and output streaming. - Are able to understand research ideas and implement them within real system and performance constraints. - Enjoy solving hard, ambiguous systems problems that only emerge at scale. - Prefer hands-on technical ownership and execution over abstract design work. About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement https://cdn.openai.com/policies/eeo-policy-statement.pdf. Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employer

Overview: The Data Acquisition team within the Foundations organization at OpenAI is responsible for all aspects of data collection to support our model training operations. Our team manages web crawling and GPTBot services and works closely with Data Processing, Architecture, and Scaling teams. We are looking for a skilled Software Engineer to join our Data Acquisition team. Responsibilities: - Own and lead engineering projects in the area of data acquisition including web crawling, data ingestion, and search. - Collaborate with other sub-teams, such as Data Processing, Architecture, and Scaling, to ensure smooth data flow and system operability. - Work closely with the legal team to handle any compliance or data privacy-related matters. - Develop and deploy highly scalable distributed systems capable of handling petabytes of data. - Architect and implement algorithms for data indexing and search capabilities. - Build and maintain backend services for data storage, including work with key-value databases and synchronization. - Deploy solutions in a Kubernetes Infrastructure-as-Code environment and perform routine system checks. - Conduct and analyze experiments on data to provide insights into system performance. Qualifications: - BS/MS/PhD in Computer Science or a related field. - 4+ years of industry experience in software development. - Experience with large web crawlers a plus - Strong expertise in large stateful distributed systems and data processing. - Proficiency in Kubernetes, and Infrastructure-as-Code concepts. - Willingness and enthusiasm for trying new approaches and technologies. - Ability to handle multiple tasks and adapt to changing priorities. - Strong communication skills, both written and verbal. About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement https://cdn.openai.com/policies/eeo-policy-statement.pdf. Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form https://form.asana.com/?d=57018692298241&k=5MqR40fZd7jlxVUh5J-UeA. No response will be provided to inquiries unrelated

ABOUT THE TEAM OpenAI’s mission is to ensure that general-purpose artificial intelligence benefits all of humanity. Our Communications team supports OpenAI’s mission and goals by clearly and authentically explaining our technology, values, and approach to safely building powerful AI. The Internal Communications team aims to create clarity, trust, and shared understanding that inspires our employees to do their best work. ABOUT THE ROLE We are looking for an Internal Communications professional to support our Enterprise and & Growth portfolio, specifically B2B, Revenue, Partnerships, Marketing, Enterprise Engineering, Ads, and Commerce teams. This role is well suited for a highly organized communicator who writes clearly, learns quickly, brings calm execution to a fast-moving environment, and enjoys finding creative ways to keep employees informed and connected. IN THIS ROLE, YOU WILL: - Support day-to-day internal communications for the Enterprise & Growth portfolio, including product, partnership, leadership, and organizational announcements. - Help plan and execute internal events for supported executives and teams, including org-wide All Hands, managers meetings, Q&As, leadership AMAs, employee engagement moments, and launch-related gatherings. - Support logistics and execution for company-wide customer storytelling programs, bringing customer insights, examples, and impact stories to employees. - Monitor high-traffic Slack channels and other employee feedback signals across supported teams to identify emerging questions, information gaps, and opportunities to improve clarity or connection. - Maintain intake and calendar, tracking key moments, milestones, dependencies, audiences, and review timelines. - Contribute to broader Internal Communications priorities as needed, bringing flexibility, curiosity, and strong follow-through across the team. YOU MIGHT THRIVE IN THIS ROLE IF YOU HAVE: - 3+ years of experience in internal communications, event coordination, marketing communications, operations, or a related field. - Experience supporting internal events, team meetings, All Hands, or employee engagement moments. - Excellent organization and project coordination skills, including demonstrated experience in tracking deadlines, dependencies, logistics, and stakeholder feedback. - Sound judgment and discretion, particularly when handling confidential or sensitive information across technical, customer-facing, and business teams. - A collaborative approach, with the ability to build trust, anticipate communications needs, and keep cross-functional teams aligned. About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement https://cdn.openai.com/policies/eeo-policy-statement.pdf. Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reason

About the Team OpenAI’s Global Affairs team engages with governments, policymakers, civil society, community organizations, and other stakeholders around the world. The State and Local Government Affairs team leads OpenAI’s engagement with state and local governments across the United States and works cross-functionally to advance policies and partnerships that support OpenAI’s mission. About the Role As Government and Community Affairs Manager, you will help support OpenAI’s engagement with state and local policymakers, community organizations, civic leaders, educational institutions, workforce partners, and other stakeholders across California. Reporting to the State and Local Government Affairs Lead, Western Region, you will develop and maintain relationships with elected officials, agency leaders, legislative staff, local government representatives, and community partners. You will monitor and analyze policy developments, support advocacy and engagement strategies, and help ensure that California stakeholders understand OpenAI’s technology, mission, and approach to responsible AI development. This role extends beyond traditional government affairs. You will also help develop community partnerships, educational initiatives, events, and other programs that demonstrate how AI can benefit people and communities across California. You will work closely with colleagues across Global Affairs, Legal, Communications, Partnerships, Product, Go to Market, and other teams to connect OpenAI’s policy priorities with meaningful external engagement. Although the role will focus primarily on California, you may also support engagement in other Western states on an ad hoc basis. We are looking for someone who is flexible, collaborative, comfortable operating in a fast-moving environment, and able to approach emerging needs with sound judgment and a bias toward action. In this role, you will: - Help develop and execute OpenAI’s state and local government affairs and community engagement strategy across California. - Build and maintain trusted, bipartisan relationships with state legislators, executive branch officials, local elected leaders, agency staff, community organizations, educational institutions, workforce partners, and other key stakeholders. - Monitor, analyze, and communicate California legislative, regulatory, political, and local policy developments that may affect OpenAI, its users, or the broader AI ecosystem. - Represent OpenAI in meetings, public forums, coalitions, conferences, community events, and other external engagements. - Support advocacy strategies on issues related to artificial intelligence, innovation, safety, education, workforce development, government modernization, economic opportunity, and other emerging policy priorities. - Develop and support community partnerships, events, educational programs, and other initiatives that connect OpenAI’s mission and technology with communities across California. - Translate complex technical and policy issues into clear, accessible materials for policymakers, community stakeholders, and internal audiences. - Prepare briefing materials, policy analyses, presentations, talking points, stakeholder plans, and other written materials for internal leaders and external engagement. - Work cross-functionally with Legal, Product Policy, Communications, Partnerships, Product, and other teams to ensure that external engagement reflects OpenAI’s priorities and the perspectives of California stakeholders. - Identify opportunities to demonstrate the practical benefits of AI through partnerships with state and local governments, schools and universities, workforce organizations, nonprofits, and other community institutions. - Help plan and execute policymaker visits, product demonstrations, roundtables, community convenings, and other events. - Coordinate with consultants, trade associations, coalitions, and external partners as appropriate. - Support government affairs and stakeholder

ABOUT THE TEAM The Agent Post-Training team creates the frontier agents OpenAI ships to the world. We are training the models behind our agents in Codex, ChatGPT, the API, and other frontier products: persistent, proactive intelligence that can operate computers, collaborate with people and other agents, and expand what people and organizations can imagine, attempt, and achieve. We define what the next generation of agents should be able to do, build the training signal that teaches those abilities, and run the experiments that make them real. Our work spans coding, tool use, computer use, multi-agent coordination, long-horizon execution, factuality, instruction following, calibrated reasoning, and taste. Our team is where new model capabilities get made. We build the data, environments, graders, training methods, and feedback loops that shape what OpenAI's next agents can do, then carry those capabilities through major training runs and into the products people use. ABOUT THE ROLE As a researcher working on Frontier Evals & Environments, you will help build north star model environments to drive progress towards safe AGI/ASI. Your work will directly guide the research programs of the most ambitious training runs happening at OpenAI. Some prior open-sourced evaluations built by researchers in this role include GDPval https://openai.com/index/gdpval/, SWE-bench Verified https://openai.com/index/introducing-swe-bench-verified/, MLE-bench https://openai.com/index/mle-bench/, PaperBench https://openai.com/index/paperbench/, and SWE-Lancer https://openai.com/index/swe-lancer/. If you are interested in feeling firsthand the fast progress of our models, and steering them towards good outcomes, this is the role for you. You will work with researchers, engineers, product teams, infrastructure teams, and safety/alignment partners to decide what should go into major model runs, measure whether it worked, and ship improvements into products used by real people. This is a high-agency role for people who want their work to land directly in frontier models. IN THIS ROLE, YOU MIGHT - Create ambitious RL environments to push our models to their limits, and measure frontier model capabilities, skills, and behaviors - Develop new methodologies for automatically exploring the behavior of these models - Dive deep into the science of measurement, including understanding scalability, reliability, and variance of our evaluation methodology - Help steer training for our largest training runs, and see the future first - Design scalable systems and processes to support continuous evaluation - Build self-improvement loops to automate model understanding YOU MIGHT THRIVE IN THIS ROLE IF YOU - Have strong technical fundamentals in machine learning, software engineering, systems, statistics, or a related field, and can learn quickly across the parts you have not worked in before. - Have hands-on experience with LLMs, RL, RLHF/RLAIF, post-training, evals, graders, synthetic data, model training, coding agents, tool-using agents, or production ML systems. - Are excited by open-ended problems where the path is unclear, the signal is noisy, and the right answer requires both research taste and engineering execution. - Care about product impact and model behavior, not just benchmark movement. You have opinions about what makes an agent useful, reliable, honest, tasteful, and easy to work with. - Can move from a vague behavioral problem to a concrete experiment: define the hypothesis, build the pipeline, run the model, analyze the result, and decide what to do next. - Are comfortable working across research, product, infrastructure, data, evals, and safety boundaries, and can communicate clearly with each group. - Like building load-bearing systems and processes when that is what the team needs, even if the work is not glamorous. - Want to train and ship the models that make agents genuinely useful for developers, enterprises, researchers, and everyday users. Abo

About the Team The Youth Well-Being product team is part of the Integrity pillar at OpenAI, responsible for ensuring that our state-of-the-art AI technologies are deployed in safe, age-appropriate, and beneficial ways—especially for youth and families. We work across OpenAI’s entire product surface area, from ChatGPT to future-facing tools, to architect safety and trust into the foundation of our systems. Our mission: empower families while meeting the highest standards of regulatory compliance and ethical responsibility. This work is core to OpenAI’s mission to ensure AGI benefits all of humanity. Safety, especially for the most vulnerable users, is more important to us than unfettered growth. About the Role We’re looking for a Senior Software Engineer to help architect and build the foundational systems that power family- and youth-facing experiences at scale. You’ll help define how teens and guardians engage with OpenAI products—ensuring those experiences are safe, compliant, and empowering. You’ll operate across a broad technical surface: building identity primitives, age assurance pipelines, and guardian tools that support both proactive and reactive interventions. You’ll collaborate closely with a cross-functional team of engineers, data scientists, designers, user researchers, and policy experts. This is a high-impact, 0→1 opportunity to set the standard for how families interact with generative AI. In this role, you will: - Architect and implement teen and guardian experiences across OpenAI products, including ChatGPT. - Build global age assurance systems that are privacy-preserving and tailored to regional compliance needs. - Design and evolve our identity infrastructure to support scalable, secure, and resilient user journeys at consumer internet scale. - Help define safety and well-being metrics, and continuously improve user trust through technical interventions. You might thrive in this role if you: - Have built products or infrastructure for users under 18, or have a strong interest in digital safety, youth well-being, or educational technology. - Have hands-on experience with identity platforms, auth/authz systems, or user verification at scale. - Have worked on systems with regulatory complexity (e.g., COPPA, GDPR-K, UK OSA, KOSA) or experience navigating legal constraints in product development. - Are comfortable owning complex, ambiguous problems end-to-end, learning quickly, and adapting to fast-changing priorities. Can thrive in a cross-functional team, with strong collaboration across policy, research, legal, and product functions. - Care deeply about building systems that are not just performant, but also inclusive, thoughtful, and ethical. About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement https://cdn.openai.com/policies/eeo-policy-statement.pdf. Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the Calif

AI Systems Engineer - Codex Core Agents About The Team The Codex Core Agents team builds the agent harness that turns model capability into real-world action. We own the systems around the model: prompting and interpreting model outputs, executing actions safely in real environments, and feeding production experience back into better models and better agent behavior. This team sits close to research and works across the stack: harness, model interaction, inference, sandboxed execution, orchestration, evals, production reliability, and the performance envelope around tokens, latency, cost, capacity, and quality. The harness is open source and increasingly part of how models are trained and evaluated, making this one of the highest-leverage layers in Codex. About The Role We’re looking for engineers to build the AI systems that make Codex agents dependable in production. The ideal candidate is an agent-systems builder: hands-on across low-level systems and ML workflows, able to debug Codex behavior end to end across the harness, model behavior, inference/runtime stack, GPU fleet, and product surface. You’ll work with research, infrastructure, and product to design agent harness capabilities, run experiments and ablations across the model + system prompt + harness stack, build frameworks for assessing production agent performance, and turn messy failures into durable improvements. What You’ll Do - Design and build the core agent harness and execution loop that lets Codex agents interpret model outputs, use tools, execute code, and complete long-horizon tasks safely. - Build sandboxing, isolation, orchestration, state, and workflow infrastructure for agents operating in real development environments. - Develop evaluation, experimentation, and debugging systems that distinguish harness issues, model behavior, inference/runtime issues, and product failures. - Run ablations across prompts, model-facing interfaces, context construction, tool-use strategies, and harness behavior to improve solve rate, reliability, latency, and cost. - Improve observability, profiling, and diagnostics across the agent stack, from backend systems to inference, GPUs, and fleet capacity. - Work closely with research to make the harness trainable, measurable, and useful for improving frontier agentic models. - Build shared primitives that make Codex faster, safer, more reliable, and easier for other teams and open-source users to build on. You Might Be A Good Fit If You - Have built or operated production systems in distributed systems, infrastructure, developer tooling, sandboxing, virtualization, cloud platforms, or ML systems. - Enjoy working across layers: Rust systems code, Python configuration layers, APIs, agent orchestration, evals, logs/traces, inference behavior, runtime constraints, and user outcomes. - Have hands-on experience with LLM applications, coding agents, evals, model deployment, inference, compiler/runtime performance, or developer platforms. - Care deeply about reliability, safety, performance, debuggability, and clean abstractions. - Can debug from evidence and move quickly from ambiguous production failures to practical, durable fixes. - Want to work close to research while still shipping changes to production - Still write meaningful code, show strong ownership, and can lead scoped or multi-team AI systems work. Bonus Points - Deep Rust, systems, sandboxing, isolation, or low-level platform experience. - Experience with coding agents, agent harnesses, tool-using LLM systems, model evals, or post-training feedback loops. - Background in compilers, kernels, runtimes, inference optimization, GPU systems, benchmarking, profiling, or performance engineering. - Experience building production infrastructure used by many engineers or users under demanding reliability and security constraints. - Open-source infrastructure or developer-platform work with strong taste for APIs and usability. About OpenAI OpenAI is an AI research and deploymen

About the Team The Connectivity Software Engineering team is responsible for enabling seamless, secure, and high-performance wireless connectivity across OpenAI’s products. We design and optimize Bluetooth, BLE, Wi-Fi, and emerging wireless technologies to ensure robust device pairing, network performance, and interoperability. Our work spans kernel drivers, system services, and user-level tools, with a focus on real-world performance, scalability, and reliability. About the Role OpenAI is seeking a Connectivity Software Engineer to design, implement, and optimize wireless connectivity features across our product ecosystem. You’ll work at the intersection of systems software, wireless standards, and hardware integration—building robust pairing and provisioning flows, debugging low-level protocols, and driving performance under real-world RF constraints. You will also support certification, field interoperability, and fleet-scale connectivity infrastructure. This role is based in San Francisco, CA. We use a hybrid work model of 4 days in the office per week and offer relocation assistance to new employees. In this role, you will: - Design, implement, and debug Bluetooth/BLE and Wi-Fi features across kernel drivers, BlueZ/wpa_supplicant/hostapd, and systemd/D-Bus services - Deliver robust pairing, bonding, and provisioning flows (GATT/GAP, LE Audio/LC3, WPA3/802.1X, captive portals, NAN) - Optimize link performance: throughput, latency, jitter, roaming, coexistence (BT↔Wi-Fi), and power modes (TWT, WoWLAN) - Build reliable network management using NetworkManager/nmcli, nl80211/cfg80211/mac80211, DNS/DHCP/mDNS, P2P/SoftAP - Instrument and analyze with packet captures and tooling (btmon/hcidump, Wireshark, iperf, eBPF/perf, spectrum sniffers) - Drive interoperability and certification readiness (Bluetooth SIG, Wi-Fi Alliance) and resolve field issues with root-cause fixes - Contribute to OTA-safe configuration, telemetry, and diagnostics for fleet-scale operation You might thrive in this role if you: - Have deep experience shipping wireless features on Linux-based products - Are highly proficient in C/C++ with scripting experience (Python or shell) and systems debugging (gdb, strace, logs, packet traces) - Possess deep knowledge of Bluetooth Classic/BLE (HCI, L2CAP, GATT/GAP, profiles) and Wi-Fi (802.11 a/b/g/n/ac/ax, WPA2/3, nl80211, NAN) - Bring hands-on experience with BlueZ, wpa_supplicant/hostapd, NetworkManager, and driver bring-up on ARM64 or x86 platforms - Have a proven track record of improving real-world performance and reliability under RF constraints Preferred qualifications: - Experience with LE Audio (LC3), BLE Mesh, advanced roaming (802.11k/v/r), QoS/WMM, multicast/IGMP - Coexistence tuning across radios (BT/Wi-Fi/UWB/mmWave) and antenna/RF fundamentals with test equipment workflows - Familiarity with UWB (IEEE 802.15.4z, FiRa) ranging/integration; mmWave/Wi-Gig (802.11ad/ay) - Experience with security and provisioning at scale (EAP-TLS, device identity, secure boot, disk/network hardening) - Background in building factory test, interoperability, and certification test plans; upstream/open-source contributions About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see

About the Team The Core Models team shapes how our models interact with people. We view the model as the product itself, aiming for intuitive experiences that exceed user expectations and feel like magic. About the Role As a Model Designer, you’ll have an outsized impact on how our models interact and resonate with users. You’ll strike a delicate balance between maximizing the model’s capabilities, reading in between the lines in user queries to understand how best to help, and upholding user trust. We’re looking for people who are passionate about the intersection of design, technology, and user experience — and are up for the challenge of defining new human-AI interaction paradigms. This role is based in San Francisco, CA. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees. In this role, you’ll join a small team in evolving and expanding the model design function. You will: - Collaborate closely with researchers to understand, predict, and design model behavior. - Partner with product managers and designers across the company to ensure a cohesive voice and approach. - Proactively identify ways to improve our models based on product sense, user feedback, quantitative insights, and the research roadmap. - Come up with creative strategies for collecting high-quality data. - Do whatever needs to be done to make our models better. You might thrive in this role if you: - Possess exceptional taste, creativity, and writing skills, allowing you to craft responses that delight users. - Don’t mind ambiguity — you’re happy to throw yourself into a new, unfamiliar environment, build relationships, define a problem, and make progress. - Love experimentation, and are willing to test and reject new ideas when the results don’t pan out. - Exhibit high levels of empathy and self-awareness required to serve everyone in the world. - Enjoy tackling profound and often philosophical questions while always driving towards clarity. - Demonstrate technical intuition to learn how changes in data can affect overall model behavior. About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement https://cdn.openai.com/policies/eeo-policy-statement.pdf. Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In additi

ABOUT THE TEAM OpenAI’s Compute organization turns ambitious AI research into real-world capability by delivering the compute infrastructure behind our most advanced models. The team works across software, hardware, facilities, operations, and engineering disciplines to make enormous amounts of compute available, reliable, and efficient. As the demand for frontier AI grows, so does the complexity of the systems required to support it. Scaling this infrastructure means solving problems that cut across distributed systems, ML infrastructure, GPU fleets, power, cooling, networking, manufacturing, supply chain, and data center delivery. Our work is focused on expanding the compute foundation that enables OpenAI to train more capable models, including systems like GPT-5.6, and make frontier AI available to more people, products, and workflows. We’re looking for exceptional people across many disciplines to help build the next generation of AI infrastructure at a scale few organizations have attempted. ABOUT THE ROLE We are hiring across a broad range of roles to help design, build, scale, and operate OpenAI’s compute infrastructure. Depending on your background, you may work on large-scale distributed systems, ML infrastructure, hardware systems, manufacturing, supply chain, data center development, or the physical engineering systems required to bring massive compute capacity online. You’ll work with teams across research, engineering, hardware, operations, and infrastructure to solve high-impact problems at extraordinary scale. This may include improving system reliability, accelerating deployment timelines, increasing operational efficiency, designing new infrastructure, or helping bring new compute platforms and facilities from concept to production. This is an opportunity to work on one of the most important infrastructure challenges in AI: building the compute foundation required to train and serve increasingly capable frontier models. KEY RESPONSIBILITIES: - Help build, scale, and operate OpenAI’s global compute infrastructure. - Solve complex problems across software, hardware, manufacturing supply chain, and data center systems. - Improve the reliability, performance, efficiency, and scalability of critical infrastructure. - Partner with cross-functional teams to bring new compute capacity online quickly and reliably. - Identify bottlenecks across technical, operational, and physical systems, and develop practical solutions. - Build tools, processes, systems, or infrastructure that improve execution at scale. - Contribute to the long-term architecture and operational maturity of OpenAI’s compute footprint. QUALIFICATIONS: - Have experience building, scaling, or operating complex technical systems. - Enjoy working on ambiguous, high-impact problems where the path forward is not always defined. - Are comfortable collaborating across disciplines, including software, hardware, operations, and physical infrastructure. - Have strong technical judgment and a bias toward execution. - Care deeply about reliability, speed, safety, and operational excellence. - Are excited by the challenge of building infrastructure at unprecedented scale. - Want your work to directly support the development and deployment of frontier AI. PREFERRED SKILLS: - Have experience with AI infrastructure, high-performance computing, distributed systems, GPU clusters, or cloud-scale platforms. - Have worked on hardware systems, manufacturing, supply chain, data center development, or large capital infrastructure projects. - Have domain expertise in civil, controls, mechanical, hardware, electrical, thermal, power, networking, or facilities engineering. - Have helped bring new technical platforms, data centers, factories, or large-scale systems from concept to production. - Have experience operating in fast-moving environments where technical depth and execution speed both matter. About OpenAI OpenAI is an AI research and deployment company dedicated to ensuri

About The Team The Data Understanding team is responsible for creating the high quality datasets and their quantized representation for OpenAI. This includes synthesizing multimodal data, building VQ representations, and processing, filtering, deduplication, quality control, and tokenization so it can be used effectively in big model training runs. About The Role We’re looking to advance how OpenAI prepares, curates, synthesizes and understands multimodal data at scale. You’ll work on research and production problems like synthesizing multimodal content (images, audio, and video) and their supervisions, improving noisy data pipelines, building better quality filters, using models to automate data prep, and measuring whether changes in the dataset improve model performance. We Expect You To - Have a strong track record of new or improved ML ideas, through publications, projects, or applied research. - Own and drive a research agenda, from choosing the right multimodal data problems to carrying long-running work through to impact. - Be excited by OpenAI’s empirical, collaborative approach to research. Nice To Have - Experience with multimodal learning, audio, vision, video, synthetic data, or data-centric ML. - Thoughtfulness about AI’s impact, including privacy, provenance, and data quality. - Experience building high-performance deep learning or large-scale data processing systems. About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement https://cdn.openai.com/policies/eeo-policy-statement.pdf. Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form https://form.asana.com/?d=57018692298241&k=5MqR40fZd7jlxVUh5J-UeA. No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link https://form.asana.com/?k=bQ7w9h3iexRlicUdWRiwvg&d=57018692298241. OpenAI Global Applicant Privacy Policy https://cdn.openai.com/policies/global-employee-and-contractor-privacy-policy.pd

ABOUT THE TEAM The Scaling team designs, builds, and operates critical infrastructure that enables research at OpenAI. Our mission is simple: accelerate the progress of research towards AGI. We do this by building core systems that researchers rely on - ranging from low-level infrastructure components to research-facing custom applications. These systems must scale with the increasing complexity and size of our workloads, while remaining reliable and easy to use. ABOUT THE ROLE We’re looking for an experienced software engineer to design, develop, and operate production-critical software infrastructure end to end across its full production lifecycle. This role is centered on backend / systems engineering, with emphasis on low-level performance, scalability, distributed systems, and hands-on development and operation of critical services at scale. You’ll take ambiguous problems, turn them into concrete plans, ship pragmatic solutions quickly, and improve them through production feedback and iteration. This is not a general Python backend role. We’re specifically looking for strong systems experience in Rust or C++, especially in performance-sensitive infrastructure. This role is based in San Francisco, CA. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees. IN THIS ROLE, YOU WILL: - Own critical infrastructure across design, implementation, rollout, operation, and iteration. - Build and operate performant backend systems in Rust or C++ that support core research workflows. - Design and improve distributed data and serving systems, including tradeoffs around partitioning, replication, consistency, retries, backpressure, and failure isolation. - Debug real production bottlenecks across latency, throughput, contention, hot spots, and overload behavior. - Operate business-critical services through on-call, incidents, postmortems, observability, alerting, safe rollouts, rollback plans, and zero-downtime migrations. - Improve reliability of services running on Kubernetes, including resource tuning, failure handling, and production readiness. - Partner closely with engineers and researchers to deliver fast, reliable, useful systems. - Raise the bar through strong technical judgment, ownership, and follow-through. YOU MIGHT THRIVE IN THIS ROLE IF YOU HAVE: - A track record of owning operationally critical systems end to end and delivering outcomes in ambiguous environments. - Strong hands-on experience building performance-sensitive backend systems in Rust or C++. - Comfort working below typical service abstractions, including concurrency, async execution, memory behavior, serialization, I/O, networking, profiling, and failure analysis. - Experience designing, building, or operating distributed systems or distributed databases at meaningful scale. - Preferably, experience with ClickHouse-like systems or infrastructure for analytics, telemetry, logging, search, ingestion, storage, or query execution. - Hands-on experience with production infrastructure and delivery tooling, including Kubernetes, Terraform or equivalent infrastructure-as-code tooling, Prometheus or equivalent observability / metrics tooling, and CI/CD pipelines or equivalent release automation. - Hands-on experience operating production-critical systems across the full lifecycle, including incidents, observability, alerting, safe rollouts, rollback plans, and recurrence prevention. - Strong judgment in balancing engineering quality, speed, risk, and business impact. - A habit of shipping practical first versions and improving them through production feedback. About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at

About the Team OpenAI’s Hardware organization develops AI-native silicon and system-level solutions for the unique demands of advanced AI workloads. Building on efforts like Jalapeño, the team is developing future generations of AI-native silicon and tightly integrated systems to power the next generation of frontier models. By co-designing chips, systems, tools, and methodologies, the team helps deliver faster, more efficient, and production-ready hardware for OpenAI’s supercomputing platform. About the Role We are seeking an experienced SoC Architect to lead the definition and development of next-generation custom AI silicon for edge deployments. This role will be responsible for shaping the architecture of highly efficient, high-performance SoCs optimized for machine learning inference and on-device intelligence. You will work cross-functionally with internal engineering teams and external ecosystem partners to translate product requirements into scalable silicon solutions, driving execution from concept through delivery. In this role you will: - Define the architecture and technical roadmap for custom SoCs targeted for edge applications. - Drive system-level tradeoff analysis across compute, memory, interconnect, power, thermal, and cost constraints. - Architect energy-efficient ML compute subsystems optimized for inference workloads and real-world deployment environments. - Collaborate with internal hardware, software, systems, and product teams to align architecture with platform needs. - Partner with external silicon vendors, IP providers, and manufacturing partners to execute development plans. - Lead hardware/software co-design efforts to maximize performance per watt and end-to-end system efficiency. - Guide implementation teams through microarchitecture, RTL development, validation, and bring-up phases. - Operate effectively in agile development environments and help teams deliver against aggressive schedules and milestones. You might thrive in this role if: - Proven experience defining and delivering complex SoC or ASIC architectures from concept to production. - Deep understanding of AI/ML accelerators, edge inference workloads, and energy-efficient compute design. - Strong knowledge of SoC subsystems including CPU/GPU/NPU architectures, memory hierarchies, interconnects, and power management. - Experience working with both internal engineering organizations and external strategic partners. - Ability to lead cross-functional teams in fast-paced, execution-driven environments. - Strong communication skills with the ability to influence technical direction across organizations. Preferred Qualifications - Experience with edge AI devices, embedded systems, or consumer hardware platforms. - Background in performance modeling, silicon cost optimization, and workload-driven architecture. - Familiarity with advanced process nodes and modern semiconductor development flows. To comply with U.S. export control laws and regulations, candidates for this role may need to meet certain legal status requirements as provided in those laws and regulations. About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statem

About the Team Training Runtime designs the core distributed machine-learning training runtime that powers everything from early research experiments to frontier-scale model runs. With a dual mandate to accelerate researchers and enable frontier scale, we’re building a unified, modular runtime that meets researchers where they are and moves with them up the scaling curve. Our work focuses on three pillars: high-performance, asynchronous, zero-copy tensor and optimizer-state-aware data movement; performant, high-uptime, fault-tolerant training frameworks (training loop, state management, resilient checkpointing, deterministic orchestration, and observability); and distributed process management for long-lived, job-specific and user-provided processes. We integrate proven large-scale capabilities into a composable, developer-facing runtime so teams can iterate quickly and run reliably at any scale, partnering closely with model-stack, research, and platform teams. Success for us is measured by raising both training throughput (how fast models train) and researcher throughput (how fast ideas become experiments and products). About the Role As a Training: ML Framework Engineer, you will work on improving the training throughput for our internal training framework, while enabling researchers to experiment with new ideas. This requires good engineering (for example designing, implementing, and optimizing state-of-the-art AI models), writing bug-free machine learning code (surprisingly difficult!), and acquiring deep knowledge of the performance of supercomputers. In all the projects this role pursues, the ultimate goal is to push the field forward. We’re looking for people who love optimizing performance, understanding distributed systems, and who cannot stand having bugs in their code. Since our training framework is used for large runs with massive numbers of GPUs, performance improvements here will have a large impact. This role is based in San Francisco, CA. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees. In this role, you will: - Apply the latest techniques in our internal training framework to achieve impressive hardware efficiency for our training runs - Profile and optimize our training framework - Work with researchers to enable them to develop the next generation of models You might thrive in this role if you: - Have run small scale ML experiments - Love figuring out how systems work and continuously come up with ideas for how to make them faster while minimizing complexity and maintenance burden - Have strong software engineering skills and are proficient in Python About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement https://cdn.openai.com/policies/eeo-policy-statement.pdf. Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-ba

About the Team The Applied Foundations team at OpenAI is dedicated to ensuring that our cutting-edge technology is not only revolutionary but also secure from a myriad of adversarial threats. We strive to maintain the integrity of our platforms as they scale. The Applied Foundations team is at the front lines of defending against financial abuse, scaled attacks, and other forms of misuse that could undermine the user experience or harm our operational stability. Integrity Foundations provides the core building blocks and infrastructure for this work. About the Role At OpenAI, our mission is to advance AI in a way that is safe, reliable, and aligned with broad societal values. The applied foundations role is crucial for maintaining the trustworthiness of our platforms. You will be pivotal in developing robust defenses against a spectrum of adversarial behaviors that threaten our ecosystem. In this role, you'll work with our entire engineering team to design and implement systems that detect and prevent abuse, promote user safety, and reduce risk across our platform. You'll be at the forefront of our efforts to ensure that the immense potential of AI is harnessed in a responsible and sustainable manner. In this role, you will: - Develop and enhance systems to detect and prevent various forms of abuse including financial fraud, botting, and scripting. - Collaborate with cross-functional teams to design solutions that protect against and mitigate adversarial attacks without compromising user experience. - Assist with response to active incidents on the platform and build new tooling and infrastructure that address the fundamental problems. You might thrive in this role if you: - Have at least 3 years of professional software engineering experience. - Have experience setting up and maintaining production backend services and data pipelines. - Have a humble attitude, an eagerness to help your colleagues, and a desire to do whatever it takes to make the team succeed. - Are self-directed and enjoy figuring out the best way to solve a particular problem - Own problems end-to-end, and are willing to pick up whatever knowledge you're missing to get the job done. - Care about AI Safety in production environments and have the expertise to build software systems that defend against abuse. - Build tools to accelerate your own workflows, but only when off-the-shelf solutions would not do. Our tech stack - Our infrastructure is built on Terraform, Kubernetes, Azure, Python, Postgres, and Kafka. While we value experience with these technologies, we are primarily looking for engineers with strong technical skills and the ability to quickly pick up new tools and frameworks. About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement https://cdn.openai.com/policies/eeo-policy-statement.pdf. Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fa

About the Team OpenAI’s Hardware organization develops system and infrastructure solutions optimized for advanced AI workloads. We collaborate across research, software, and external hardware partners to design and deploy next-generation AI systems at scale. Our team works closely with silicon vendors and system partners to evaluate emerging technologies, validate performance characteristics, and ensure that hardware capabilities translate effectively to real-world AI workloads. About the Role We are seeking a 3P Hardware Architecture Expert with deep expertise in GPU and accelerator architectures to engage directly with silicon vendors and guide hardware decisions for AI infrastructure. In this role, you will evaluate architectural tradeoffs across compute, memory, and interconnect systems, translating vendor specifications into real-world workload impact. You will play a critical role in early silicon evaluation, benchmarking, and performance validation, helping ensure that next-generation hardware meets the needs of our workloads. This role is highly hands-on and requires both deep technical understanding and the ability to engage at a high level with partners such as NVIDIA and AMD on architectural direction and design tradeoffs. This role is based in San Francisco, CA. We use a hybrid work model of 3 days in the office per week and offer relocation assistance. Key Responsibilities - Engage deeply with silicon vendors (e.g NVIDIA & AMD) on GPU and accelerator architecture tradeoffs. - Analyze and interpret performance, power, and efficiency characteristics of next-generation hardware. - Translate vendor specifications into expected real-world performance for AI workloads. - Evaluate architectural aspects including: - compute throughput and utilization - memory systems (HBM, cache hierarchies, bandwidth constraints) - data types and precision tradeoffs (FP16, BF16, FP8, etc.) - interconnect and scaling behavior. - Run benchmarks and profiling to validate hardware performance against workload requirements. - Lead early bring-up and evaluation of engineering sample (ES) silicon. - Partner with performance modeling and system architecture teams to align measured vs. modeled behavior. - Provide actionable feedback to vendors to influence future silicon design and roadmap decisions. Qualifications - Have deep expertise in GPU or accelerator architecture, including performance and power tradeoffs. - Understand AI workload behavior and how it interacts with hardware design choices. - Are comfortable engaging directly with silicon vendors at a technical architecture level. - Have hands-on experience with benchmarking, profiling, and performance analysis. - Can translate low-level hardware details into system-level and workload-level impact. - Are equally comfortable in theory (architecture) and practice (measurement/validation). - Thrive in environments where you bridge internal teams and external partners. Preferred Skills - Experience working with or at companies like (e.g NVIDIA & AMD) or similar silicon providers. - Familiarity with AI accelerator stacks, including GPUs, custom ASICs, or emerging architectures. - Experience with early silicon bring-up or hardware validation workflows. - Strong understanding of memory systems (HBM, DDR, cache hierarchies) and data movement bottlenecks. - Experience with performance tooling, microbenchmarks, and workload characterization. About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and

ABOUT THE TEAM The Human Data team at OpenAI is responsible for identifying and mitigating risks in advanced AI systems by designing evaluations, surfacing vulnerabilities, and collaborating closely with researchers to strengthen model reliability and public trust. ABOUT THE ROLE As a Technical Program Manager, you will lead initiatives that test the safety and robustness of OpenAI’s models through creative experimentation and structured evaluation. You’ll coordinate efforts across research and engineering teams to transform ambiguous risks into concrete research programs and influence future model development and deployment. We’re looking for people who are technically savvy, comfortable with ambiguity, and excited about shaping the future of safe AI. This role is based in San Francisco, CA. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees. IN THIS ROLE, YOU WILL: - Lead programs that explore unexpected model behaviors and identify failure modes. - Translate vague or emergent risk signals into clear priorities and actionable research plans. - Design and run creative evaluations, experiments, and red-teaming campaigns. - Collaborate with research, product, and deployment teams to integrate findings into model training and deployment cycles. - Develop repeatable systems for tracking model performance and understanding emerging behavior patterns. YOU MIGHT THRIVE IN THIS ROLE IF YOU: - Have strong experience in technical program management, with excellent organizational and communication skills. - Are familiar with large language models, prompt engineering, or model evaluation techniques. - Are comfortable managing fast-paced, high-uncertainty projects and shaping them from the ground up. - Are creative and resourceful in devising new methods for testing model behavior and performance. - Can effectively coordinate across technical and non-technical stakeholders to drive alignment and execution. About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement https://cdn.openai.com/policies/eeo-policy-statement.pdf. Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security ob

About the Team: OpenAI's mission is to ensure that artificial general intelligence (AGI) benefits all of humanity. Our API is the industry's most widely adopted AI platform, empowering startups, indie developers, and Fortune 500 companies alike. Through multimodal APIs—spanning real-time interactions, text-to-speech (TTS), speech generation, and image generation—we enable users to harness the full potential of diverse AI modalities effectively and at scale. About the Role: We are seeking an Engineering Manager to lead our multimodal API product suite. Your team will be responsible for delivering innovative APIs across real-time processing, speech transcription, speech generation, and image creation. You will own the product roadmap for how we evolve our multimodal API offerings, and you will build the products that allow developers to reach millions of end users through AI audio, video, and images. In this role, you will: - Build, mentor, and grow a high-performing engineering team focused on multimodal API products – including our realtime API, our transcription models (Whisper), our speech generation models (TTS), and our image generation APIs (DALLE and native 4o). - Collaborate closely with product managers, designers, and other stakeholders to define the strategic vision and product roadmap. - Work closely with our research teams to improve our core multimodal models for API customer use cases. - Guide technical and architectural decisions, emphasizing scalability, robustness, and user experience. - Foster a culture of innovation, continuous improvement, and accountability within your team. Qualifications: - Proven experience managing engineering teams that deliver complex, high-quality products at scale. - Strong technical background and proficiency in modern software engineering practices and system architecture. - Excellent collaboration and communication skills to effectively coordinate across diverse teams and stakeholders. - Familiarity with or strong interest in multimodal AI, including speech technologies, real-time systems, and image generation. - Ability to operate effectively in a fast-paced, ambiguous startup environment. Preferred Qualifications: - Experience developing multimodal systems or APIs in AI/ML domains, especially around image generation, audio generation, or speech transcription. - Familiarity with real-time streaming technologies, audio processing, and computer vision. - Hands-on experience with cloud platforms and distributed architectures. Location: This role is in-person at our San Francisco office. About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement https://cdn.openai.com/policies/eeo-policy-statement.pdf. Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal h

ABOUT THE TEAM The Intelligence and Investigations team seeks to rapidly identify and mitigate abuse and strategic risks to ensure a safe online ecosystem in close collaboration with our internal and external partners. Our efforts contribute to OpenAI's overarching goal of developing AI that benefits humanity. The Strategic Intelligence & Analysis (SIA) team provides safety intelligence for OpenAI’s products by monitoring, analyzing, and forecasting real-world abuse, geopolitical risks, and strategic threats. Our work informs safety mitigations, product decisions, and partnerships, ensuring OpenAI’s tools are deployed securely and responsibly across critical sectors. ABOUT THE ROLE We are looking for an AI emerging risks analyst to help us understand potential harms and misuse of AI at the frontier in a time of rapid, sustained change. From known threat actors misusing new technologies to new threats enabled by new technologies, we seek to scan available signals and use strategic foresight methodologies to enable proactive detection and mitigation of frontier AI risks. In this role, you will help to provide strategic-level perspective on a range of evolving risk areas, helping to produce actionable understanding of frontier AI risks relevant to OpenAI’s platforms, surfaces, and broader business interests. Utilizing mixed quantitative and qualitative methodologies, you will spot early warning signs, pull threads on potentially concerning behavior, and turn weak signals into clear, prioritized risk calls. You will focus on upstream ecosystem scanning, competitive benchmarking, and external narrative/risk sense-making. Your work will help to inform cross-functional partners in the protection and safety stacks to guide mitigations that keep users, brands, and communities safe while allowing productive, creative uses of these tools to thrive. IN THIS ROLE, YOU WILL - Map and prioritize emerging risks at the frontier of AI - Build and continuously refine a clear picture of emerging signals and trends that could affect the AI ecosystem through upstream and external scanning. - Design and maintain harm taxonomies that provide foresight and warning about how AI harms and misuse may manifest over the next 0-24 months and beyond. - Contribute to an evergreen frontier risk register and prioritization framework that surfaces the top issues by severity, prevalence, exposure, and trajectory. - Detect and deep dive into emerging abuse patterns - Create comprehensive approaches to horizon scanning, competitive benchmarking, and external narrative/risk sense-making. - Stay current on abuse trends ranging from state actor misuse to criminal activity, drawing from the work of internal organizational and cross-functional partners. - Connect individual incidents into system-level stories about actors, incentives, product design weaknesses, and cross-product spillover–whenever possible spotting these incidents or even hypothesizing them before they hit our surfaces. - Turn analysis into actionable risk intelligence - Translate findings into clear, ranked risk lists and concrete proposals for mitigations that product, safety, and policy teams can execute on. - Work with Global Affairs and Communications teams to share findings in ways that reinforce OpenAI’s role as a leader in the online safety ecosystem. - Track whether mitigation work is landing: follow key indicators, pressure-test assumptions, and push for course corrections when the data demands it. - Build early warning and measurement capabilities - Help define the core metrics and signals that indicate whether fast-evolving AI environments are safe (e.g., key harm prevalence, severity distributions, escalation rates, brand safety issues). - Work with data science and visualization colleagues to shape monitoring views and dashboards that highlight leading indicators and unusual changes from signals spotted off platform to determine whether these are manifesting in user behavior or abuse patte

ABOUT THE TEAM OpenAI didn’t begin as a traditional company. It began as an idea: that artificial intelligence could be developed in a way that benefits everyone. As a creative team, our role is to help make sure the work behind that idea is understood, as it leaves the lab and meets the world. This company works at the frontier of intelligence. Like any frontier, it’s unfinished, constantly shifting, and still being explored. Our job is to stay close to that uncertainty and help shape how this story gets told, in a way that feels grounded and human. We do this through campaigns, launches, films, brand systems, and work that doesn’t fit neatly into any of those categories yet. This team is for people who want to help shape something from the beginning. ABOUT THE ROLE OpenAI’s Marketing team is looking for a Business Affairs Manager to support our Hardware team. In this role, you’ll own Business Affairs work streams across highly confidential, high-visibility marketing projects from early concepting through launch and post-launch usage. You’ll be embedded in the project work, partnering closely with Hardware, Product Marketing, Creative, Production, Legal, Procurement, Security, Comms, and external partners to ensure rights, clearances, contracts, vendor requirements, documentation, and risk decisions are managed end-to-end. This role requires someone who can move fluidly between strategic judgment and hands-on execution: shaping scalable BA processes while also driving the day-to-day details that keep complex projects moving. You’ll partner with existing BA counterparts to inform and roll out ways of working and serve as the connective tissue between Legal, Procurement, Partnerships, Security, external BA partners, and working teams, helping ensure our marketing work is compliant, well-documented, and built to scale. IN THIS ROLE, YOU WILL: - Own Business Affairs workstreams for Hardware marketing projects, including confidential product launches, campaigns, films, events, experiential activations, partner moments, and emerging creative. - Manage BA requirements from project kickoff through delivery, including rights, clearances, contracts, usage terms, vendor requirements, documentation, approvals, and post-launch asset usage. - Drive the day-to-day execution of project workflows, including clearance trackers, talent and public figure deals, music, locations, third-party IP, product footage, likeness rights, paid media usage, global extensions, and renewal needs. - Inform and manage BA guardrails for confidential and tented Hardware work, including NDA requirements, need-to-know access, vendor onboarding, secure asset handling, prototype or product restrictions, documentation standards, and access removal. - Own project-level risk management, identifying issues early, recommending paths forward and escalating when needed. - Develop BA operating models for Hardware’s confidential and restricted-access projects, including how external agencies, production partners, talent, creators, photographers, and vendors are briefed, contracted, permissioned, and offboarded. - Manage BA requirements for product-in-market and pre-launch product work, including restrictions around prototype visibility, product claims, unreleased features, photography, footage, demos, and asset distribution. - Partner with Security and Legal to ensure Hardware marketing projects have the right confidentiality controls in place before external work begins. - Partner with current BA counterparts to build clear BA guidelines that help the wider Marketing team move at the speed of the business while protecting the brand, managing risk, and ensuring compliance. - Inform Marketing Operations counterparts on all BA-related tools/systems, rights-management systems, DAMs, content-management workflows, and asset lifecycle governance. - Have an AI-first mindset finding reliable ways to optimize the function of BA with our tools and scaling them. YOU MIGHT THRIVE IN THIS

ABOUT THE TEAM OpenAI's mission is to ensure that artificial general intelligence benefits all of humanity. The Consumer Devices team is building a new generation of AI-powered products that seamlessly integrate hardware and software to create intuitive, transformative experiences. We bring together experts across embedded systems, machine learning, hardware, design, and product engineering to develop products at the intersection of AI and consumer technology. ABOUT THE ROLE OpenAI is seeking a System Performance Engineer to profile, benchmark, and optimize performance across our embedded hardware products. In this role, you will work across operating systems, applications, camera and vision, graphics, and platform teams to define product KPIs, build performance tooling, and drive optimizations from early lab characterization through product launch and real-world usage. You will help establish the performance standards that shape the user experience of our products, ensuring they remain responsive, efficient, and reliable throughout their lifecycle. This role requires deep expertise in embedded or high-performance systems, strong operating systems fundamentals, and hands-on experience debugging under tight latency, power, and memory constraints. This role is based in San Francisco, CA. We use a hybrid work model of four days per week in the office and one day working remotely. Relocation assistance is available for new hires. IN THIS ROLE, YOU WILL: - Develop system performance benchmarks, methodologies, and policies to evaluate end-to-end product behavior. - Profile and analyze performance across key product use cases and workloads using custom and industry-standard profiling tools. - Partner closely with engineering teams to identify bottlenecks and drive performance optimizations across the software stack. - Define high-level product KPIs and establish measurement frameworks to measure launch readiness and monitor performance throughout the product lifecycle. - Measure, report, and track metrics including system responsiveness, memory utilization, cold boot performance, long-term stability, and behavior under constrained conditions such as thermal limits and low battery states. - Investigate field performance regressions and drive issues to resolution using data-driven analysis. YOU MIGHT THRIVE IN THIS ROLE IF YOU HAVE: - Deep experience shipping embedded or high-performance systems on Linux, Android, or iOS devices. - Strong proficiency in C/C++, Python, or Rust, with exceptional operating systems fundamentals, including process management, IPC, drivers, interrupts, power management, media frameworks, graphics, filesystems, and networking. - A proven track record shipping real-time systems operating under tight latency, power, and memory constraints. - Expertise with profiling and debugging tools such as Perfetto, GDB, LLDB, perf, ftrace, or Instruments. - Experience building instrumentation, analytics, and performance tuning frameworks. PREFERRED QUALIFICATIONS - Familiarity with statistics, experimentation methodologies, or data science concepts. - Experience collaborating cross-functionally with embedded software, systems, camera and vision, audio, graphics, applications, and hardware teams. - Experience defining product KPIs, benchmarking methodologies, and launch readiness metrics for hardware products. - Experience investigating field performance regressions and driving fixes through cross-functional collaboration. About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectr

ABOUT THE TEAM The Industrial Compute team is responsible for building and scaling the infrastructure foundation that powers OpenAI’s research and products. The team works across compute strategy, infrastructure planning, hardware partnerships, and capacity management to ensure OpenAI can meet rapidly growing training and inference demands with resilient, efficient, and future-looking infrastructure systems. ABOUT THE ROLE As a Strategic Deals Leader, you will help shape OpenAI's long-term approach to AI infrastructure, compute capacity, and strategic ecosystem partnerships. Operating at the intersection of infrastructure strategy, technology evaluation, commercial partnerships, and market development, you will identify and execute opportunities that expand OpenAI's access to the compute, infrastructure, and technologies required to support frontier AI systems. You will work closely with engineering, infrastructure, finance, and executive leadership teams to evaluate emerging technologies, develop ecosystem strategies, assess build-versus-buy decisions, and cultivate strategic relationships across hardware vendors, cloud providers, data center operators, and the broader AI infrastructure ecosystem. We’re looking for people who combine deep understanding of AI infrastructure and emerging technology ecosystems with strong strategic judgment, technical curiosity, and the ability to build partnerships across a rapidly evolving industry landscape. IN THIS ROLE, YOU WILL - Develop and execute strategies that expand OpenAI's access to compute, infrastructure, and emerging AI technologies. - Evaluate strategic opportunities across hardware platforms, cloud providers, infrastructure partners, and ecosystem participants. - Partner with engineering and infrastructure teams to understand future workload requirements and translate them into long-term compute and ecosystem strategies. - Assess build-versus-buy tradeoffs across infrastructure, platform, and capacity decisions. - Build and manage relationships with hardware vendors, hyperscalers, cloud providers, data center operators, and emerging infrastructure companies. - Evaluate new infrastructure technologies and architectures to inform adoption, partnership, and deployment decisions. - Support commercial discussions and strategic partnerships that improve OpenAI's infrastructure flexibility, resilience, and long-term capacity position. - Monitor market, technology, and competitive developments across the AI infrastructure landscape and develop recommendations for leadership. YOU MIGHT THRIVE IN THIS ROLE IF YOU - Have experience in AI infrastructure, cloud computing, semiconductors, data centers, distributed systems, or adjacent technology ecosystems. - Possess a strong understanding of compute infrastructure, accelerator technologies, cloud platforms, and infrastructure economics. - Have experience evaluating emerging technologies and developing long-term infrastructure or ecosystem strategies. - Can work effectively with technical teams and translate complex engineering concepts into strategic business recommendations. - Have experience building partnerships and influencing senior stakeholders across internal and external organizations. - Demonstrate strong analytical and strategic thinking skills, with the ability to operate in ambiguous and rapidly evolving environments. - Communicate effectively with both technical and business audiences, including executive leadership. - Are passionate about the future of AI infrastructure and the ecosystem required to support frontier model development. About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission

About the Team OpenAI’s mission is to ensure that artificial general intelligence (AGI) benefits all of humanity. Achieving this goal requires more than cutting-edge research—it also demands deep, durable engagement with policymakers, institutions, industry leaders, and communities shaping the future of AI around the world. The Global Affairs team leads this engagement globally, building trusted relationships with governments, regulators, civil society organizations, academic institutions, and strategic partners. By bringing external perspectives into OpenAI—and helping communicate OpenAI’s priorities outward—we support thoughtful governance frameworks, responsible standards, and public understanding of AI technologies. We work closely across research, product, legal, communications, partnerships, and go-to-market teams to anticipate emerging issues, shape proactive engagement strategies, and advance OpenAI’s mission internationally. About the Role OpenAI believes that access to AI tools and training should expand opportunity—not deepen existing divides. We're looking for a Workforce Program Manager to help scale Global Affairs' workforce initiatives and Certifications programs. This person will build and manage partnerships with workforce development organizations, community colleges, nonprofits, employers, governments, and other institutions working to prepare people for an AI-enabled economy. You'll play a critical role in translating OpenAI's workforce vision into practical programs that help people build skills, gain confidence using AI, and access new economic opportunities. Key Responsibilities PARTNERSHIP DEVELOPMENT & MANAGEMENT - Identify, cultivate, and manage relationships with workforce organizations and strategic partners. - Serve as the primary point of contact for Global Affairs Certifications partnerships. - Support partnership design, implementation, renewals, and expansion opportunities. - Coordinate with partners to establish goals, success metrics, and reporting structures. PROGRAM STRATEGY & EXECUTION - Support the launch and execution of workforce initiatives focused on AI literacy, upskilling, and economic opportunity. - Collaborate with Academy, Certifications, GTM, and Product teams to align programs and resources. - Develop playbooks and implementation guidance for workforce partners. - Monitor outcomes and synthesize learnings to inform future programming. EXTERNAL ENGAGEMENT - Represent OpenAI at conferences, workshops, and partner meetings. - Facilitate trainings, roundtables, and stakeholder discussions. - Help identify emerging workforce trends and opportunities for impact. - Contribute to briefing materials, presentations, and thought leadership content. You’ll be responsible for: - Experience managing partnerships and programs within workforce development, education, nonprofit, or public-sector environments. - Strong relationship-management and stakeholder-engagement skills. - Experience executing multi-stakeholder initiatives from concept through implementation. - Excellent communication and project management abilities. - Passion for expanding access to opportunity through technology and education. - Interest in AI literacy, workforce transformation, and the future of work. - Experience working with workforce boards, community colleges, labor organizations, or economic development entities. - Familiarity with credentialing, certifications, or adult learning programs. - Experience navigating public-private partnerships. - Comfort operating in fast-paced, ambiguous environments. About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and

About the Team OpenAI’s People Experience & Technology (PXT) team owns the core people platform that powers worker, recruiting, contingent, approvals, and lifecycle workflows across the company. PXT is responsible for operating Workday, Ashby, and related people systems as governed, reliable sources of truth, while building the controls, monitoring, documentation, and auditability required to support scale. About the Role We’re hiring an Enterprise Systems Manager, Recruiting Systems to help own and harden OpenAI’s recruiting platform, with a focus on Ashby and its connected workflows. This is a hands-on systems role for someone who can translate recruiting process problems into governed, durable fixes through configuration, workflow design, access controls, documentation, reporting guardrails, and integration partnership. You will work at the boundary of Recruiting, HR Operations, Legal, Compensation, Analytics, IT, and PXT to improve the reliability and control health of recruiting workflows. The right person is comfortable going deep in system design while also driving rollout, adoption, and operational clarity. In this role you will: - Own specific recruiting workflow domains in Ashby and adjacent tools, including stages, fields, permissions, approvals, templates, and configuration standards. - Partner on high-priority remediation work across start dates, offers, approvals, integrations, auditability, data integrity, and workflow controls. - Design and implement governed workflow changes that balance recruiter usability with reporting trust, downstream integration reliability, and control requirements. - Establish and maintain guardrails such as required and conditional fields, stage definitions, role-based permissions, approval logic, validation patterns, and change standards. - Drive durable fixes for recurring operational issues by identifying root causes and resolving them through configuration, automation, documentation, or process redesign. - Partner with PXT, IT, vendors, and People Analytics on integrations, monitoring, incident response, and failure-mode reduction across the recruiting ecosystem. - Strengthen data quality by improving capture design, standard definitions, audit mechanisms, exception handling, and ongoing workflow governance. - Support controlled releases by coordinating testing, UAT, rollout planning, stakeholder communications, enablement, and post-launch monitoring. - Create and maintain SOPs, change records, training materials, and reference documentation that make recruiting systems easier to operate and less dependent on tribal knowledge. - Help define the longer-term operating boundary between platform ownership in PXT and day-to-day service support in RecOps. You might thrive in this role if you have: - Deep, hands-on expertise with Ashby. You have configured Ashby in production, know where the platform functions well and where it needs additional support, and have opinions on how to configure it effectively. - Strong working knowledge of recruiting workflows, offer processes, approvals, candidate and requisition data, and downstream system impacts. - Hands-on experience configuring workflows, fields, permissions, templates, approval logic, reports, or integrations in a production environment within Ashby and an HRIS; Workday experience is strongly preferred. - Demonstrated ability to lead scoped systems programs end to end, not only respond to break-fix queues or intake requests. - Sound judgment around change control, access governance, and workflows. - Experience with Workday or other HRIS / downstream people systems. - Experience with integration monitoring, analytics tooling, or workflow automation. - Experience in compliance-sensitive, audit-sensitive, or public-company-readiness environments. - Experience supporting global or multi-entity recruiting workflows. About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligen

About the Team With Codex we’re building an AI software engineer. One that you can pair with, delegate to, or even ask to take on future tasks proactively. Our team is a fast-moving group within OpenAI, bringing together research, engineering, design, and product. We iteratively build the Codex agent harness and product to get the most out of the model, and we iteratively train the model to be great at complex software engineering tasks. The Codex team is responsible for building state-of-the-art AI systems that can write code, reason about software, and act as intelligent agents for developers and non-developers alike. We operate across research, engineering, product, and infrastructure; owning the full lifecycle of experimentation, deployment, and iteration on novel coding capabilities. Codex Enterprise builds the ecosystem, governance, and enterprise capabilities that help Codex spread across developers, teams, and organizations worldwide. The Enterprise Controls team owns the systems that allow companies to safely deploy Codex across their organization while protecting their most sensitive code, data, and internal knowledge. About the Role As Codex adoption grows inside large organizations, customers are increasingly trusting Codex with their most valuable assets: proprietary codebases, internal documentation, customer data, and sensitive workflows. This role will help build the enterprise control plane that makes Codex secure, governable, and trustworthy at scale. You will design and operate backend systems that give enterprise administrators visibility and control over how Codex is used across their organization. You will work across identity, access, encryption, policy enforcement, auditability, and admin controls. This may include systems that let customers manage encryption keys, control which Codex capabilities are enabled, enforce organizational policies, and understand how data flows through Codex. This role owns systems end-to-end: from architecture and implementation to production operations, with a strong bias for security, reliability, quality, and velocity. In this role, you will: - Build backend systems that protect enterprise customer data, including encryption, key management, access controls, data isolation, retention controls, and secure data handling patterns. - Design and operate the Codex enterprise control plane, enabling administrators to configure, enforce, and audit how Codex is used across users, teams, projects, and environments. - Build policy and governance systems that allow enterprises to enable or disable specific Codex capabilities, define organizational constraints, and safely roll out new AI-powered workflows. - Develop reliable, observable, and scalable services across identity, authorization, configuration, audit logging, compliance, and enterprise administration. - Partner closely with product, security, infrastructure, GTM, and customer-facing teams to translate complex enterprise requirements into simple, durable product and platform capabilities. - Help define what “enterprise-grade” means for AI software engineering systems as Codex becomes a trusted teammate inside the world’s largest organizations. You might thrive in this role if you: - Have strong backend software engineering fundamentals and experience building production-grade distributed systems. - Are proficient in one or more backend languages such as Python, Go, Rust, Java, or C++. - Have experience with security, identity, authorization, encryption, key management, policy systems, or enterprise governance. - Understand enterprise foundations such as SSO/SAML/OIDC, SCIM, RBAC, audit logging, compliance controls, and data governance. - Enjoy building foundational platform capabilities that unlock many product surfaces and customer workflows. - Are comfortable working across ambiguous technical and product requirements, especially in fast-moving 0 → 1 environments. - Care deeply about reliability, security, observability, a

About the Team Security is at the foundation of OpenAI’s mission to ensure that artificial general intelligence benefits all of humanity. The Security team protects OpenAI’s technology, people, and products. We are technical in what we build but are operational in how we do our work, and are committed to supporting all products and research at OpenAI. Our Security team tenets include: prioritizing for impact, enabling researchers, preparing for future transformative technologies, and engaging a robust security culture. About the Role As a Security Engineer, Application Security you will be responsible for identifying and mitigating security vulnerabilities within software applications through building security tools, code reviews, penetration testing, and security assessments. We’re looking for people who will work closely with development teams to ensure secure coding practices are integrated throughout the software development lifecycle, preventing security risks before they emerge. You will also provide security guidance to developers and other stakeholders, fostering a culture of security awareness within the organization. The role is preferred to be based in San Francisco, Seattle or New York City but may consider remote work. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees. In this role, you will: - Perform Security Assessments: Conduct regular security assessments, code reviews, and penetration testing to identify vulnerabilities in applications and software. - Develop and Implement Security Tools: Design, develop, and implement security tools, frameworks, and methodologies to protect applications against security threats. - Collaborate with Development Teams: Work closely with development teams to ensure security best practices are integrated throughout the software development lifecycle (SDLC), including secure coding guidelines. - Threat Modeling and Risk Assessment: Conduct threat modeling and risk assessments to proactively identify potential risks and develop mitigation strategies. - Vulnerability Management: Track, analyze, and manage vulnerabilities in applications, providing guidance and support for remediation efforts. - Incident Response Support: Assist in investigating, analyzing, and responding to security incidents related to applications, ensuring timely resolution and documentation of incidents. - Stay Current on Security Trends: Continuously stay updated on the latest security threats, vulnerabilities, and technologies to enhance security measures in applications. You might thrive in this role if you: - Extensive experience in information security, cybersecurity, or a related field, with a significant portion of that experience in leadership or management roles. - Deep understanding of security technologies, tools, and best practices, including experience with secure coding practices, threat modeling, risk assessments, and incident response. - Experience in application security, software development, or related areas with a strong understanding of secure coding practices and application security frameworks. - Proficiency in programming languages (such as Python, Java, C++, etc.), knowledge of security tools (e.g., Burp Suite, OWASP ZAP), and familiarity with security protocols and encryption methods. - Strong written and verbal communication skills, with the ability to explain complex security issues to both technical and non-technical audiences About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spe

ABOUT THE TEAM: OpenAI’s Hardware organization develops AI-native silicon and system-level solutions for the unique demands of advanced AI workloads. Building on efforts like Jalapeño, the team is developing future generations of AI-native silicon and tightly integrated systems to power the next generation of frontier models. By co-designing chips, systems, tools, and methodologies, the team helps deliver faster, more efficient, and production-ready hardware for OpenAI’s supercomputing platform. About the Role We are seeking a Manufacturing Test Engineer to own and drive manufacturing test strategy, development, and execution for complex AI hardware systems. This role will define and implement test coverage across the product lifecycle, including ICT, functional circuit test, tray-level functional test, and system manufacturing test. You will work closely with hardware design engineering, diagnostic/software teams, manufacturing engineering, quality, and external system integrators and suppliers to translate product requirements into robust, scalable, and production-ready test solutions. You will also play a key role in reviewing test data, debugging failures, improving yield, and ensuring manufacturing test readiness from early development through volume production. IN THIS ROLE, YOU WILL: - Define and drive the manufacturing test strategy for boards, trays, and system-level hardware assemblies across EVT, DVT, PVT, and production ramp. - Develop and manage test coverage for: - ICT / structural test - FCT / board-level functional test - Tray-level functional and integration test - System-level manufacturing and bring-up test - Partner closely with electrical engineering, system engineering, and diagnostic/software teams to define test requirements, review manufacturing test scripts and diagnostics, validate failure isolation needs, debug hooks, logging, and production screening strategies. - Translate engineering requirements into practical, scalable manufacturing test plans that balance coverage matrices; review and approve EVT/DVT/PVT and production test plans, pass/fail criteria and release gates while balancing coverage, test time, debug efficiency, cost, and production throughput. - Collaborate with system integrators, JDMs, contract manufacturers, and equipment vendors to implement and qualify test stations, fixtures, automation, software, equipment configurations, calibration plans, operator procedures, golden-unit correlation and production workflows. - Review and analyze manufacturing test results, test logs, diagnostic outputs, yield trends, failure paretos, false-failure rates, and station correlation data to identify gaps and drive corrective actions. - Lead or support debug of manufacturing test failures, working cross-functionally to determine whether issues stem from design, process, fixture, software, component, or operator variation. - Drive continuous improvement of test processes, including coverage expansion, cycle-time reduction, parallelization opportunities, power & cooling efficiency optimization, station reliability, data quality, and test escape prevention. - Ensure manufacturing test readiness for new product introduction, including test specifications, validation plans, GR&R/correlation studies, station acceptance, and production release criteria. - Help establish scalable standards and best practices for manufacturing test development across OpenAI’s rapidly growing hardware portfolio. YOU MIGHT THRIVE IN THIS ROLE IF YOU: - Have experience developing and deploying manufacturing test solutions for complex electronics, servers, networking systems, or high-performance compute hardware. - Understand board-level and system-level test methodologies, including ICT, boundary scan, functional test, burn-in, stress test, and production diagnostics. - Are comfortable working across both engineering development and factory execution, and can bridge the gap between design intent and production implementation.

About The Team The Alignment Training team studies how frontier models acquire durable behavioral tendencies across the training stack. We work on identifying which behaviors can be shaped through pre-training, mid-training, and post-training; building the data, objectives, and evaluations needed to influence them; and determining whether the resulting behavior reflects a general learned tendency or a narrow artifact of the training distribution. Our work spans synthetic data, pre-training, mid-training, post-training, model behavior, and evaluation. We study how models learn to interpret intent, follow instructions, reason through tasks, express uncertainty, act honestly, and remain reliable under new conditions. The goal is to make desirable tendencies emerge early, strengthen throughout training, and appear robustly in deployed systems. About The Role We’re looking for a senior researcher with exceptional technical depth in large-scale model training, synthetic data, or evaluation who is excited to study how training choices shape aligned behavior in frontier models. You will help shape the research agenda for alignment training: defining the behaviors we want models to learn, designing data and training interventions to teach them, and building the evaluation loops needed to tell whether those behaviors are broad, robust, and durable. The strongest candidates will be able to move from an ambiguous behavioral question to a concrete experimental program: formulate the hypothesis, design the intervention, build the pipeline, run the experiment, and decide whether the result is real. This role is especially well suited for someone who wants to work close to the core model training loop, where choices about data, objectives, and evaluation directly shape how aligned deployed systems are. In this role, you'll: - Develop synthetic data methods that teach models higher-level behavioral tendencies, such as understanding user intent, following instructions reliably, reasoning clearly, being honest, and acting consistently with intended goals and constraints. - Study how pre-training, mid-training, and post-training each shape downstream model behavior, and which interventions are best applied at which stage. - Build evaluation loops that connect model behavior back to training data and training objectives, so the team can iterate faster and with clearer signal. - Design reusable data generation and filtering pipelines that improve the quality, diversity, and robustness of training data. - Create experiments that distinguish durable learned behavior from benchmark gains, distribution-specific effects, or evaluation artifacts. - Collaborate across pre-training, post-training, alignment, and product-facing teams to translate research insights into better model behavior. - Help define the research agenda for alignment training: which behaviors should remain invariant across settings, which should adapt, and how to measure whether models have learned an underlying principle rather than a surface pattern. You might thrive in this role if you: - Have a strong record of technically excellent work in large-scale ML, especially in pre-training, post-training, synthetic data, model evaluation, or training infrastructure. - Are comfortable designing experiments where the signal is subtle, noisy, or indirect. - Can move between research taste and engineering execution: forming hypotheses, building pipelines, running experiments, analyzing results, and turning findings into the next iteration. - Have unusually good judgment about which research questions are worth pursuing and which signals are strong enough to trust. - Care about making models more useful, honest, steerable, and reliable for real users. - Are excited by alignment problems, even if you have not worked in alignment before. - Communicate clearly across research, engineering, and product contexts. - Prefer practical, evidence-driven work grounded in experiments. About OpenAI OpenAI

About the Team The RL and Reasoning team drives the core reasoning paradigm and has created groundbreaking innovations such as o1 and o3. They focus on pushing the boundaries of reinforcement learning research, building next-generation generative models, and deploying them at scale. About the Role As a Research Engineer/Research Scientist at OpenAI, you will advance the frontier of AI alignment and capabilities through cutting-edge RL methods. Your work will sit at the heart of training intelligent, aligned, and general-purpose agents, including the systems that power various models. We’re looking for people who have a background in reinforcement learning research, are able to iterate quickly, and are proficient at coding. This role is based in San Francisco, CA. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees. You might thrive in this role if: - You love being on the cutting edge of RL and language model research. - You’re a self-starter who takes initiative and ownership of ideas, driving them to completion. - You value principled approaches, simple experiments in tightly-controlled settings, and reaching trustworthy conclusions which stand the test of time. - You thrive in a fast-paced, dynamic, and technically complex environment where rapid iteration is key. - You’re comfortable diving into a large ML codebase to debug and improve it. - You have a deep understanding of machine learning and machine learning applications. About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement https://cdn.openai.com/policies/eeo-policy-statement.pdf. Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form https://form.asana.com/?d=57018692298241&k=5MqR40fZd7jlxVUh5J-UeA. No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link https://form.asana.com/?k=bQ7w9h3iexRlicUdWRiwvg&d=57018692298241. OpenAI Global

About the team The Fleet team at OpenAI supports the computing environment that powers our cutting-edge research and product development. We oversee large-scale systems that span data centers, GPUs, networking, and more, ensuring high availability, performance, and efficiency. Our work enables OpenAI’s models to operate seamlessly at scale, supporting both internal research and external products like ChatGPT. We prioritize safety, reliability, and responsible AI deployment over unchecked growth. About the role As a software engineer on the Fleet High Performance Computing (HPC) team, you will be responsible for the reliability and uptime of all of OpenAI’s compute fleet. Minimizing hardware failure is key to research training progress and stable services, as even a single hardware hiccup can cause significant disruptions. With increasingly large supercomputers, the stakes continue to rise. Being at the forefront of technology means that we are often the pioneers in troubleshooting these state-of-the-art systems at scale. This is a unique opportunity to work with cutting-edge technologies and devise innovative solutions to maintain the health and efficiency of our supercomputing infrastructure. Our team empowers strong engineers with a high degree of autonomy and ownership, as well as ability to effect change. This role will require a keen focus on system-level comprehensive investigations and the development of automated solutions. We want people who go deep on problems, investigate as thoroughly as possible, and build automation for detection and remediation at scale. In this role, you will: - Build and maintain automation systems for provisioning and managing server fleets. - Develop tools to monitor server health, performance, and lifecycle events. - Collaborate with clusters, networking, and infrastructure teams. - Partner with external operators to ensure a high level of quality. - Identify and fix performance bottlenecks and inefficiencies. - Continuously improve automation to reduce manual work. You might thrive in this role if you have: - Experience managing large-scale server environments. - A balance of strengths in building and operationalizing. - Proficiency in Python, Go, or similar languages. - Strong Linux, networking, and server hardware knowledge. - Comfort digging into noisy data with SQL, PromQL, and Pandas or any other tool. Prior hardware expertise is not required for this role. Bonus Skills: - Experience with low level details of hardware components, protocols, and associated Linux tooling (e.g., PCIe, Infiniband, networking, power management, kernel perf tuning) - Knowledge of hardware management protocols (e.g., IPMI, Redfish). - High-performance computing (HPC) or distributed systems experience. - Prior experience developing, managing, or designing hardware. - Familiarity with monitoring tools (e.g., Prometheus, Grafana). About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement https://cdn.openai.com/policies/eeo-policy-statement.pdf. Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction record

Join the engineering teams that bring OpenAI’s ideas safely to the world!! The Applied Engineering team works across research, engineering, product, and design to bring OpenAI’s technology to consumers and businesses. We seek to learn from deployment and distribute the benefits of AI, while ensuring that this powerful tool is used responsibly and safely. Safety is more important to us than unfettered growth. About the Role We’re building the observability product for OpenAI—from scalable infrastructure to a rich, AI-powered UI. Our systems ingest over petabytes of logs and billions of time series metrics across our fleet. We're now layering intelligence on top—think agents that summarize SEVs, auto-generate dashboards, or help engineers debug through notebook-like UIs. We’re hiring software engineers across the stack—infra, backend, and product. You’ll join a small, gritty team building both foundational infra and novel internal tools to make OpenAI's production systems reliable, performant, and observable. What You’ll Do - Own core observability infrastructure, including distributed logging, time series, and trace storage - Build AI-native tools that help engineers detect, understand, and resolve issues autonomously. - Contribute to UI experiences like dashboards, notebooking, or interactive debugging - Collaborate closely with engineers, researchers, user ops, and other teams across the company to build the next generation observability product You Might Be a Fit If You: - Have operated large-scale distributed systems in production. ( especially logging systems or some other time series databases) - Thrive in ambiguous environments and roll up your sleeves to solve unscoped problems. - Have full-stack chops or product sensibilities—you're excited to build real tools people use. - Have strong fundamentals in systems, networking, and cloud infra (Kubernetes, AWS, etc). - Bonus: built or contributed to observability systems (e.g. Prometheus, OpenTelemetry, etc). Why This Team - We’re both an infra and product team—building a real AI application for internal use. - Your work will directly power the reliability of GPT-based products at massive scale. - You'll help define what "AI-powered observability" looks like at one of the world’s most advanced AI labs. About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement https://cdn.openai.com/policies/eeo-policy-statement.pdf. Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possess

About the Team With Codex we’re building an AI software engineer. One that you can pair with, delegate to, or even ask to take on future tasks proactively. Our team is a fast-moving group within OpenAI, bringing together research, engineering, design, and product. We iteratively build the Codex agent harness and product to get the most out of the model, and we iteratively train the model to be great at complex software engineering tasks. The Codex team is responsible for building state-of-the-art AI systems that can write code, reason about software, and act as intelligent agents for developers and non-developers alike. We operate across research, engineering, product, and infrastructure; owning the full lifecycle of experimentation, deployment, and iteration on novel coding capabilities. Codex Enterprise builds the ecosystem building blocks, discovery surfaces, and enterprise capabilities that help Codex spread across developers, teams, and organizations worldwide. It is a cross-cutting team that works across the stack to build both delightful product experiences and fundamental platform capabilities. Its customers range from individual developers and small teams to large enterprises, and our mission is critical to achieving the vision of Codex as a proactive teammate. About the Role As we grow, we’re focused on turning Codex from a powerful individual tool into a production-grade teammate for entire organizations. You will work across internal OpenAI teams and external customers, from fast-moving startups to large enterprises, to make it possible to deploy, operate, and trust Codex in increasingly demanding real-world environments. As Codex’s consumer adoption accelerates, enterprise demand is growing just as quickly, and there is also increasing opportunity to expand Codex through ecosystem capabilities that unlock new workflows, integrations, and discovery. This team helps turn messy, real-world team requirements into robust, repeatable, and scalable product and platform capabilities. You will work directly with a small set of deeply engaged design-partner customers using their real deployments to surface opportunities, and what’s required for Codex to succeed inside modern engineering organizations. Those insights will drive what you build across product, infrastructure, deployment patterns, and ecosystem capabilities for all teams using Codex. This role owns systems end-to-end: from architecture and implementation to production operations with a strong bias for both quality and velocity. In this role, you will: - Shape the evolution of Codex by identifying how teams actually use (and break) AI-powered software engineering, and driving changes across product, infrastructure, ecosystem surfaces, and model behavior to make Codex a truly reliable teammate for organizations. - Build the core ecosystem, team, and enterprise primitives that make Codex usable at scale, including plugins, skills, hooks, discovery surfaces, RBAC, admin and audit surfaces, usage, rate limits and pricing controls, managed configuration and constraints, and analytics that give teams and operators deep visibility into how Codex is being used. - Design and own secure, observable, full-stack systems that power Codex across web, IDEs, CLI, and CI/CD, integrating with enterprise identity and governance systems (SSO/SAML/OIDC, SCIM, policy enforcement) and building data-access patterns that are performant, compliant, and trustworthy. - Lead real-world deployments and launches by working directly with customers and the Go To Market team (GTM) to roll Codex out across teams, using live usage and operational signals to rapidly iterate and turn messy, real-world feedback into scalable product, platform, and ecosystem improvements. You might thrive in this role if you: - Have strong software engineering fundamentals and experience turning ideas into productionized systems, thinking holistically about speed, performance, and user experience. - Are proficient in

About the Team OpenAI’s Applications Engineering organization builds and operates the products that bring our cutting-edge research to millions of users and developers worldwide. The Applied Foundations team owns the core product and platform layers that make those experiences possible — from identity & access, to safety to payments & commerce across all of our apps. Our teams span product engineering, infrastructure, and safety, working together to deliver technology that is reliable, secure, and trusted at global scale. About the Role You will be a Senior Android engineer on OpenAI’s Applied Foundations team, building the core mobile experiences that power how users sign up, manage their account, family features, pay for services, stay safe, and interact with OpenAI’s products with confidence. This role is about creating high-quality products as well as reusable Android foundations that product teams across different OpenAI apps depend on to ship quickly while meeting the highest standards for security, reliability, and user trust. You’ll own complex client-side systems spanning UI, networking, local state, payment integrations and Apple platform integrations, and work closely with backend, product, and safety partners to shape the architecture that supports OpenAI’s mobile ecosystem at global scale. You might thrive in this role if you: - Have 4+ years of professional software engineering experience. - Have a proven track record of building high-quality Android applications in production. - Are fluent in Kotlin (and/or Java) and familiar with Android development tools and architecture components. - Prioritize performance, security, and user experience in mobile development. - Enjoy working cross-functionally to bring ambitious product ideas to life. - Care deeply about performance, security, and user experience. About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement https://cdn.openai.com/policies/eeo-policy-statement.pdf. Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form https://form.asana

ABOUT THE TEAM The Release Engineer team is responsible for building and maintaining the systems that power software delivery—from CI/CD pipelines and artifact management to release automation and fleet telemetry. We ensure software across bootloaders, firmware, operating systems, and cloud services is built reproducibly, validated rigorously, and released safely at scale. ABOUT THE ROLE As a Release Engineer, you’ll design, build, and operate release infrastructure that enables reliable, secure, and traceable software delivery across complex multi-component systems. You’ll partner closely with embedded, cloud, and QA teams to ensure that every build—from development to OTA deployment—is fast, verifiable, and production-ready. We’re looking for engineers who take pride in automation, build reproducibility, and system reliability—and who enjoy building the connective tissue that allows hardware and software to ship together seamlessly. This role is based in San Francisco, CA. We use a hybrid work model of four days in the office per week and offer relocation assistance to new employees. IN THIS ROLE, YOU WILL: - Design and operate CI/CD pipelines for multi-component builds (bootloader, firmware, OS images, backend, companion apps) using hermetic toolchains. - Define versioning and branching strategies; automate promotions, changelogs, and artifact retention. - Integrate unit, integration, and hardware-in-the-loop (HIL) test results; quarantine flaky tests, auto-bisect failures, and block unsafe promotions. - Build A/B OTA update flows with verity and health checks; run staged rollouts and canaries; implement safe rollback and roll-forward strategies. - Implement code signing for binaries and firmware, generate SBOMs, run vulnerability scanning, and attach build attestations and provenance. - Manage dashboards and alerts for build health, promotion latency, failure rates, and fleet update telemetry. YOU MIGHT THRIVE IN THIS ROLE IF YOU: - Have experience building and operating build and release systems for consumer devices, robotics, mobile, or embedded products. - Are proficient in scripting and automation languages such as Python or Bash. - Have strong Linux user-space fundamentals. - Have experience with GitHub Actions or Buildkite, artifact registries, and reproducible toolchains. - Have experience managing vendor BSPs and toolchains. - Have delivered secure OTA or image updates with staged rollouts at scale. - Are familiar with key management and supply-chain hardening. - Have a track record of metrics-driven improvement and continuous optimization. About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement https://cdn.openai.com/policies/eeo-policy-statement.pdf. Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably bel