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Systems Generalist, GPT Infrastructure
About OpenAI OpenAI is dedicated to ensuring that artificial general intelligence (AGI) benefits all of humanity. Our mission requires building not only world-class AI models, but also the infrastructure that enables those models to be deployed reliably, efficiently, and at global scale. As demand for AI continues to grow, we are expanding the ways OpenAI can bring high-performance inference capacity online across a diverse hardware ecosystem. About the Team The GPT Infrastructure team builds software that turns advanced inference and optimization research into production products. One focus is enabling strategic infrastructure partners and accelerator vendors to qualify and onboard new compute without a bespoke porting and optimization effort for every hardware platform. We build the control planes, APIs, secure partner-side execution environments, evaluation systems, artifact pipelines, and operational tooling that make these workflows repeatable and trustworthy. The work sits at the intersection of distributed systems, AI inference, compilers and runtimes, performance engineering, security, and external partnerships. About the Role We are seeking an experienced systems generalist who can work comfortably across the stack to help build an automated inference optimization platform. Given a workload, target hardware profile, compiler and runtime context, and a trusted verifier, the system runs durable optimization campaigns that generate, compile, execute, grade, and improve candidate kernels, runtime configurations, and serving-stack changes. You will design both the OpenAI-hosted control plane and the partner-side software that evaluates candidates on real accelerator hardware. The product must keep long-running workflows reliable, make performance results reproducible, and maintain clear trust boundaries around sensitive model and hardware information. This is a deeply cross-stack role, combining strong software engineering fundamentals with systems thinking and performance intuition. You will work closely with research, inference engineering, infrastructure, security, product, and strategic partners to turn a powerful research workflow into a scalable product. Key Responsibilities - Design, build, and operate durable APIs and control-plane services for multi-hour or multi-day optimization campaigns, including scheduling, retries, budgets, checkpoints, artifact lineage, and observability. - Build secure partner-side runner and grader software that can compile, execute, verify, and benchmark candidate artifacts on third-party accelerator hardware. - Integrate hardware profiles, ISA and toolchain context, compilers, runtimes, and inference-serving engines into a repeatable optimization workflow. - Turn research prototypes into reliable product surfaces with clear contracts, debuggable failure modes, reproducible outputs, and excellent developer ergonomics. - Develop correctness and performance evaluation systems spanning latency, throughput, memory use, utilization, and cost efficiency. - Build artifact, provenance, and qualification workflows that make optimized kernels, binaries, configurations, and reports safe to review and deploy. - Collaborate with Research, Inference Engineering, Infrastructure, Security, Product, and Strategic Partnerships to deliver production-ready solutions. - Drive technical architecture and execution across ambiguous, cross-functional initiatives that connect OpenAI systems with partner environments. Basic Qualifications - 8+ years of professional software engineering experience building large-scale distributed systems, infrastructure platforms, or cloud services, or equivalent depth of experience. - Strong programming skills in one or more of C++, Python, Go, or Rust. - Experience designing and operating highly available backend systems, APIs, job orchestration systems, or durable workflows for production workloads. - Strong understanding of distributed systems, Linux, networking, storage, containers, and modern cloud architectures. - Experience debugging complex systems and using measurement, profiling, and benchmarks to guide engineering decisions. - Proven ability to lead complex technical initiatives as a senior individual contributor and work effectively across organizational boundaries. Preferred Skills - Experience with AI infrastructure, inference-serving systems, or large-scale machine learning systems. - Experience with compilers, runtimes, kernel optimization, or performance engineering; familiarity with technologies such as LLVM, MLIR, Triton, CUDA, or ROCm is a plus. - Familiarity with GPUs, accelerators, hardware architecture, ISA concepts, or vendor toolchains. - Experience with inference-serving frameworks or engines such as vLLM, SGLang, Triton Inference Server, or similar systems. - Experience building developer platforms, external APIs, remote execution systems, or secure partner-facing infrastructure. - Experience working with strategic cloud, hardware, or infrastructure partners. 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 . 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 . 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 . OpenAI Global Applicant Privacy Policy 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.
Software Engineer, Distributed Data Systems - Robo...
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 Software Engineer, Distributed Data Systems, you will design, build, and operate some of the largest distributed data systems in the world. You will be responsible for the end-to-end stack to deliver and consume top-quality data for robotics training at exabyte-scale. You’ll manage distributed data pipelines, collaborate closely with researchers to translate requirements into robust systems, and harden pipelines that serve as the backbone for OpenAI’s rapid iteration cycles. We’re looking for engineers who are detail-oriented, have strong experience with distributed systems, and excel at building reliable, large-scale systems in high-stakes environments. 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, build, and maintain data infrastructure such as exabyte-scale distributed data processing, data selection, automated labeling, and training data loaders. - Ensure our data platform can scale by orders of magnitude while remaining reliable and efficient. - Partner with researchers to deeply understand requirements and translate them into production-ready systems. - Harden, optimize, and maintain critical data infrastructure systems that power multimodal training and evaluation. - Deliver the best possible data for training robotics models. You might thrive in this role if you: - Have strong experience with distributed systems and large-scale infrastructure with a strong interest in data. - Are detail-oriented and bring rigor to building and maintaining reliable systems. - Demonstrate excellent software engineering fundamentals and organizational skills. - Are comfortable with ambiguity and rapid change 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 . 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 . 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 . OpenAI Global Applicant Privacy Policy 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.
Solutions Engineer
About the Team The AI Architect team partners with organizations to turn OpenAI's most capable models into meaningful, real-world impact. We work with customers across industries and digital-native businesses to identify where AI can create value, design secure and scalable solutions, and help those solutions move from early exploration into sustained production adoption. The team brings together technical strategy, customer partnership, and practical deployment expertise, working closely with Sales, Product, Engineering, Research, and specialist delivery teams. About the Role As an AI Architect, you will be the senior technical owner for a named portfolio of customers and the primary technical counterpart to their leadership teams. You will act as the “CTO of your book of business”, shaping each customer's AI strategy and guiding their journey from pre-sales discovery and solution evaluation through deployment, adoption, and measurable business impact. You will own the technical account plan across ChatGPT Enterprise, the OpenAI API, Codex, and other agentic AI solutions. In partnership with the Account Director, you will translate business priorities into a focused use-case portfolio, an actionable adoption roadmap, and a clear path to durable customer value and growth. The Account Director owns commercial strategy; you own the technical strategy, customer journey, and path to production value. You will remain accountable for the technical outcome while bringing in the right specialists across deployment, implementation, enablement, security, product, and partners to provide deeper expertise and execute work where needed. This role calls for strong industry fluency, sound architectural judgment, and the ability to move confidently between executive strategy and hands-on technical conversations. This role can be based in Delhi, Mumbai, or Bangalore. 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: - Serve as the primary technical advisor and long-term technical relationship owner for a named portfolio of existing customers and pre-sales prospects. - Partner with Account Directors on account strategy while owning the technical account plan, technical milestones, adoption priorities, and expansion opportunities. - Lead discovery with executives and technical teams to identify, qualify, and prioritize use cases tied to meaningful business outcomes. - Develop clear Applied AI Architectures spanning models, applications, data, integration, security, privacy, governance, evaluation, and deployment. - Guide customers through technical evaluations, demonstrations, workshops, prototypes, and proofs of value, securing confidence in both the solution and its path to production. - Maintain a focused use-case portfolio with clear decision criteria, ownership, blockers, success measures, delivery needs, and adoption plans. - Develop trusted relationships and technical champions across CTOs, CIOs, CISOs, AI leaders, engineering teams, and other customer stakeholders. - Qualify and coordinate support from Deployment Engineering, implementation, training and enablement, product and domain specialists, partners, and other delivery teams. - Remain accountable for technical progress and customer outcomes while ensuring delivery teams own implementation execution once engaged. - Track adoption, usage, account health, production readiness, and measurable customer impact, intervening early when risks threaten value realization. - Apply industry or digital-native expertise to recognize repeatable patterns, sharpen customer priorities, and identify relevant expansion opportunities. - Share customer insights with Product, Engineering, and Research, translating field learnings into better products, architecture guidance, and reusable practices. You might thrive in this role if you: - Have significant experience in customer-facing technical roles such as solutions architecture, solutions engineering, technical account leadership, AI deployment, or technical customer success. - Have guided enterprise organizations from technical evaluation through production adoption and measurable business impact. - Build credibility with senior technical and business leaders while communicating equally well with hands-on engineers. - Bring strong software and cloud architecture foundations, including APIs, distributed systems, data integration, identity, security, and privacy. - Understand modern AI systems, frontier LLM models, agentic applications, model evaluation, retrieval, or enterprise AI workflows. - Can prototype, explain technical tradeoffs, and work confidently with APIs, SDKs, and languages such as Python or JavaScript. - Exercise sound judgment about when to go deep personally, when to involve specialists, and how to define clear handoffs and ownership. - Have experience developing technical account plans, prioritizing complex customer portfolios, and connecting adoption to measurable outcomes. - Bring meaningful expertise in a relevant industry or strong fluency with the needs of digital-native businesses. - Communicate clearly and can turn ambiguity into a practical technical narrative, executive decision, or action plan. - Work collaboratively across disciplines and care deeply about helping organizations deploy advanced AI responsibly. 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 . 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 . 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 . OpenAI Global Applicant Privacy Policy 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.
Forward Deployed Software Engineer - NYC
About the team OpenAI’s Forward Deployed Engineering team partners with customers to turn research breakthroughs into production systems. We operate at the intersection of customer delivery and core platform development. About the Role We are looking for customer-focused software engineers to build effective custom software that leverages OpenAI’s APIs to solve real customer problems. As an FDSWE, you will work with our customers and OpenAI Forward Deployed Engineers to design and implement scalable solutions that solve their most difficult problems. You will design abstractions to solve customer problems, and then use them to scale our speed and quality of delivery across all Forward Deployed engagements. You will collaborate closely with Sales, Solutions Engineering, Solutions Architects, and Customer Success Managers who work on the same account. You will also work with our Research and Applied Product and Engineering teams to provide insightful customer feedback. This role is based in NYC. We use a hybrid work model of 3 days in the office per week. We offer relocation assistance. Travel up to 50% is required. In this role, you will: - Embed deeply with strategic customers to understand their business challenges and technical requirements in detail. - Design, architect, and develop full-stack solutions using an experiment-driven, iterative approach. - Prepare detailed scopes of work and project plans for both proof-of-concept prototypes and full production deployments. - Work hands-on with customers' technical teams as a technical expert and trusted advisor, coding side-by-side to drive projects to completion on their infrastructure. - Collaborate with Product, Research and Applied teams to ensure seamless customer experiences, project success and actionable product feedback - Contribute to internal knowledge bases, codifying best practices and sharing insights gained from customer engagements to scale the Forward Deployed Engineering function. You’ll thrive in this role if you: - 7+ years of professional full stack engineering experience (excluding internships) in relevant roles at tech and product-driven companies - customer-facing experience is highly desirable - Former founder, or early engineer at a startup who has built a product from scratch is a plus - Experience with relational databases like Postgres/MySQL - Have a bias for action and willingness to work iteratively with your customers to deliver the right solution that solves their problem. 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 . 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 . 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 . OpenAI Global Applicant Privacy Policy 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.
Chief Product Officer
Our Company: Abyss Solutions is reinventing industrial asset management both above and underwater for step-change improvements in; asset life, maintenance cost, and reduction of failure risk. Think oil rigs, dam walls, ship hulls, any asset subject to deterioration in water and weather. We do so utilize extremely sophisticated, unique (and patented) Artificial Intelligence/ Machine Learning software together with a deep understanding of our customers’ asset integrity needs and processes. Creating a 3D ‘digital twin’ of customer assets. Using drones and Abyss analytics is just the beginning, Abyss comprehensively classifies the ‘state’ of the asset to identify exactly what maintenance is required, providing precise direction. Abyss is driving to fully automate the maintenance process, expanding applications and capabilities into other verticals. Chief Product Officer — What We Need Series B (~$15–20M revenue) pivoting from managed-service delivery to a platform sold through IRM operators such as Acuren and Applus+. The CPO owns the product that makes the pivot real, a roadmap spanning cloud inspection, continuous monitoring, and edge autonomy. Houston-based, with heavy travel across the Middle East, Europe and Asia-Pacific. Reports to the CEO; partners tightly with the CRO. Must-haves Designs for non-technical field users — has shipped tools inspectors actually adopt in the field, not demos. Radical simplicity as a hard constraint; onboarding measured in hours. Industrial inspection + APM fluency — Meridium, Maximo, SAP PM, AssetWise. Owns the integration-layer product requirements — defines the API, doesn’t write it. Active-learning / human-in-the-loop AI — can make unknown-defect handling experientially simple, not an ML lecture. Two-sided platform builder — products serving a channel partner and an end beneficiary at once; multi-vertical (oil & gas, power, chemicals) through one channel. Series B+ operator — stands up a product org from scratch, ships imperfect, scrappy without scaffolding. Holds product ground against a strong CRO without deferring or duplicating. Nice to have IRM domain depth — knows how IRMs price work, deploy crews, run campaigns, and where their single-digit margins hurt. Named-operator or regional exposure — direct experience with Acuren, Applus+ or Bureau Veritas, BP, CVX, OXY, etc and/or Middle East market familiarity. Dealbreakers Background limited to consumer, fintech, or non-industrial software. Experience only in large, structured organizations; first-time leader or individual contributor. Designs from features or technical architecture rather than the end user. Conflict style at either extreme: consensus-seeking to the point of paralysis, or unwilling to defer. Logistics Houston (relocation OK), hybrid · US citizen / green card, no visa sponsorship · 7–20 years PM at CPO/VP level ·
Data Scientist, Business
About the Team The Business Data Science team uses data and analytics to optimize business performance, drive growth, and foster meaningful partnerships, with the goal of ensuring the sustained and impactful expansion of OpenAI's initiatives to maximize the benefits of AGI for all of humanity. We partner with Sales (GTM), Marketing, Partnerships, Support, Finance, Product, and Growth. About the Role As a member of our Business Data Science team, you will help build a data-driven culture around insight generation, decision making, and strategy at OpenAI. This role is focused on driving customer success within our business products (ChatGPT Team, ChatGPT Enterprise, and API). You will work on projects such as identifying opportunities for interventions within a customer lifecycle to drive activation & onboarding, identifying target audiences for new feature launches, and measuring the efficacy of emails, events, and other interventions to drive ongoing engagement with our products. This role is based in San Francisco, CA or New York, 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: - Embed with our Customer Success organization as a trusted partner, uncovering new ways to drive customer adoption and engagement of our business products. - Establish key metrics, run experiments, and perform analysis to help us understand the incrementality of our efforts to drive adoption/engagement. - Proactively surface insights and opportunities to drive engagement and growth. - Build tools and systems for stakeholders to self-serve routine data and insights freeing up time to work on more leveraged analyses. - Become an expert in OpenAI’s data and systems. Through partnership with Data Eng, Finance and other business teams, you will self-serve all the underlying data for our business and derive insights from them. - Partner with other data scientists across the company to share knowledge and continually synthesizing learnings across the organization You might thrive in this role if you have: - At least 10+ years of experience in Data Science roles within dynamic, outcome-driven organizations. - Expertise in statistics and causal inference, applied in both experimentation and observational causal inference studies. - Proficiency in quantitative programming languages, such as Python and R. - Expertise in SQL, with extensive experience extracting large datasets and designing ETL workflows. - Experience using business intelligence tools, such as Mode, Tableau, and Looker. - Strategic and impact-driven mindset, capable of translating complex business problems into actionable frameworks. - Ability to build relationships with diverse stakeholders and cultivate strong partnerships. - Strong communication skills, including the ability to bridge technical and non-technical stakeholders and collaborate across various functions to ensure business impact. - Ability to craft clear data stories using decks, memos, and dashboards to drive decision-making at every level. - Best-in-class attention to detail and unwavering commitment to accuracy. - Proven track record in solving problems within Finance, Marketing, Partnerships, Sales, Support, or other GTM areas. 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 . 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 . 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 . OpenAI Global Applicant Privacy Policy 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.
Software Engineer, Codex -Enterprise Controls
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, and customer trust. 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 . 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 . 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 . OpenAI Global Applicant Privacy Policy 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.
Extended Workforce Program Manager
About the Team OpenAI Finance is responsible for ensuring the organization is set up for success in pursuit of its mission. Within Finance, the Procurement team serves as a trusted advisor to the business, optimizing investments, securing essential resources, and enabling OpenAI’s mission through efficient and effective procurement practices. The Extended Workforce team helps OpenAI access specialized and flexible talent while creating a consistent, compliant, and high-quality experience for hiring managers, workers, vendors, and internal partners. As part of an AI-native organization, we are also rethinking how extended workforce programs should operate, using AI, automation, data, and new ways of working to reduce friction, improve decision-making, and build more scalable workforce solutions. Our goal is not simply to modernize traditional contingent workforce practices, but to help define what best-in-class extended workforce management looks like in an AI-first company. About the Role We’re looking for an experienced, hands-on Senior Manager to operate and continuously improve key elements of OpenAI’s extended workforce program. Reporting to the Head of Extended Workforce, you will be a trusted partner responsible for translating program priorities into clear plans, scalable solutions, and measurable outcomes. This is an individual contributor role with significant cross-functional ownership and influence. You will take ownership of complex workstreams, solve ambiguous operational challenges, and partner closely with our Extended Workforce Operations team, Global Compliance Lead, and cross-functional stakeholders to strengthen the systems, workflows, and partnerships that enable the program to scale globally. While operational excellence is at the heart of this role, we are equally excited about what comes next. We believe AI presents an opportunity to fundamentally rethink how extended workforce programs operate. We are looking for someone who enjoys challenging conventional thinking, experimenting with new ideas, and helping build a more intelligent, automated, and scalable operating model for the future. This role is based in San Francisco, CA. We use a hybrid work model of three days per week in the office and offer relocation assistance to new employees. In This Role, You Will: - Partner with the Head of Extended Workforce to set direction for assigned workstreams, then own their end-to-end execution by translating priorities into clear plans, milestones, and measurable outcomes. - Partner closely with the Extended Workforce Operations team and Global Compliance Lead to ensure program operations are efficient, scalable, and aligned with compliance requirements. - Advise hiring managers and business stakeholders on workforce solutions, exercising sound judgment across stakeholder experience, speed, cost, compliance, risk, and operational scalability. - Translate business needs, stakeholder feedback, and operational insights into improved workflows, automation, systems, reporting, and user experiences. - Identify, test, and implement practical applications of AI, automation, analytics, and decision-support tools that reduce manual work, improve decisions, and enable a more scalable operating model. - Identify root causes behind recurring operational challenges and build durable processes, systems, and frameworks that prevent them from recurring. - Manage strategic supplier relationships to drive optimal performance, strengthen service delivery, address gaps, and ensure partners continue to meet OpenAI’s evolving workforce needs. - Establish program health measures and operational insights that identify systemic issues, inform priorities, and drive measurable improvements in service, efficiency, adoption, supplier performance, and risk. - Lead the rollout and adoption of new processes and tools, coordinating testing, documentation, training, communications, and success measurement. - Independently resolve complex workforce requests and escalations while balancing business needs, worker experience, cost, compliance, and risk. - Raise the quality and consistency of execution across the program by developing reusable practices, decision frameworks, documentation, and tools that help the broader team operate more effectively. You Might Thrive in This Role If You: - Have 7+ years of progressive experience in extended workforce, contingent workforce, procurement operations, workforce operations, or a related field. - Have substantial client-side experience building and operating an extended workforce program within a complex organization, including personally designing, implementing, and continuously improving its processes, systems, controls, and operating model. This is a core requirement. - Have experience scaling workforce processes, systems, automation, reporting, and service delivery, including hands-on experience with VNDLY or a similar Vendor Management System. - Are a strong operator who enjoys getting into the details, solving problems directly, and building solutions rather than relying on suppliers or external partners to do the heavy lifting. - Combine strong judgment and strategic thinking with a willingness to remain deeply involved in execution, using operational data and workforce metrics to prioritize work and improve performance. - Understand the legal, compliance, and operational considerations associated with extended workforce programs, including worker classification, co-employment, tenure, location, access, and data protection. - Build trusted partnerships across Procurement, Finance, Legal, People, Security, Privacy, Enterprise Technology, suppliers, and business stakeholders. - Bring deep knowledge of extended workforce engagement models and the operational considerations associated with each. - Are curious, adaptable, and excited to grow your scope while helping the team rethink how extended workforce programs operate in an AI-first 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, 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 . 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 . 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 . OpenAI Global Applicant Privacy Policy 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.
AI Deployment Engineer
About the Team OpenAI’s Applied AI 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 Applied AI 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 can be based in Delhi, Mumbai or Bangalore. 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 governance, performance, and cost. - Can connect technical decisions to customer workflows, adoption, and measurable business outcomes. - Communicate with clarity and credibility across hands-on engineers, technical leaders, security teams, product leaders, and executives. - Bring high agency, strong technical judgment, and end-to-end ownership in ambiguous environments. - Learn quickly, challenge assumptions constructively, and collaborate with humility; experience in a particular industry or with OpenAI products is 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 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 . 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 . 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 . OpenAI Global Applicant Privacy Policy 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.
Design Verification Engineer
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 . 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 . 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 . OpenAI Global Applicant Privacy Policy 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.
Chief Product Officer - AI Optimization
Description In this position... We are seeking a strategic, outcomes ‑ driven leader to establish and scale an AI Products Center of Excellence — a horizontal capability responsible for transforming how the organization prioritizes, governs, and delivers AI-enabled business value. This role is designed for a senior leader with experience shaping enterprise operating models, guiding portfolio transformation, and embedding product discipline within large, matrixed organizations. The ideal candidate blends consulting-level strategic framing with hands-on experience implementing new practices, enabling them to move seamlessly between executive alignment, structured problem-solving, and delivery oversight. Responsibilities What you'll do... 1. Build and Operationalize the AI Product CoE Establish the AI Product CoE from the ground up, defining the mission, operating model, governance design, and engagement model. Create repeatable practices that scale across the enterprise, informed by best-in-class product operating frameworks and organizational design principles. 2. Lead Enterprise Product & Portfolio Transformation Develop a single, unified AI product portfolio with consistent granularity, strategic alignment, and transparent prioritization. Implement portfolio rationalization and value case standardization to address duplicate investments and fragmented solution architectures. 3. Drive Executive-Level Alignment & Adoption Partner with senior leadership to clarify strategic priorities, align on problem statements, and communicate enterprise-wide value narratives. Translate complex AI capabilities and data foundations into meaningful business outcomes, enabling leadership decisions and measurable ROI. 4. Establish Governance & Product Management Standards Create lightweight governance mechanisms: intake, ownership, lifecycle, stage gates, data trust checkpoints, and value realization tracking. Ensure teams adopt consistent product definitions, decision frameworks, and documentation standards. 5. Enable Reusability, Interoperability & Data Trust Identify shared components, reusable patterns, and consolidation opportunities across AI, analytics, and data products. Partner with engineering and data leadership to reduce fragmented data sources and reinforce trust in enterprise datasets. 6. Lead Cross-Functional Problem Framing & Storytelling Facilitate structured workshops using design thinking and service design methods to uncover real customer problems and shared needs. Create coherent value stories that integrate dealer, customer, and internal business perspectives into a unified narrative. 7. Identify & Eliminate Enterprise Waste Analyze sources of duplication, divergent development paths, and inefficiencies across teams. Recommend harmonization strategies, closure of redundant workstreams, and reuse-first approaches to product development. Qualifications You'll have... Strategic Transformation & Operating Model Design Experience designing and implementing organization-wide operating models in product, digital, or AI contexts. Demonstrated ability to bring order and structure to ambiguous environments. Expertise in creating portfolio frameworks, prioritization models, value realization structures, and roadmap harmonization. Proven ability to align executives, engineering, product, design, and business stakeholders around shared goals. Experience navigating organizational silos and building coalitions across large enterprises. Strong background in design thinking, journey mapping, or service blueprinting to connect business needs to product strategy. Comfortable shaping high-level narratives for C-suite leaders, guiding strategic decisions, and translating complexity into clarity. Experience standing up new functions, playbooks, frameworks, or CoEs-especially in digital, product, or data contexts. Enterprise Product Strategy & Portfolio Management Cross-Functional Leadership in Complex Ecosystems Innovation, Service Design & Problem Framing Executive Storytelling & Advisory Practice Creation & Institutionalization Minimum qualifications 10+ years of professional experience. BS or equivalent degree. Even better, you may have… MS, MBA or equivalent business degree. Design Thinking, Problem Solving, or Human Centered Design certifications. Product Management: Agile/SCRUM CSPO, PSPO, Six Sigma Black Belt, Certified Product Manager, Product Strategy. Experience in both consulting and industry leadership roles. Background in the business implementation of AI platforms, data modernization, or advanced analytics products. Experience in dealer ecosystems, connected customer experience, or large operational networks. You may not check every box, or your experience may look a little different from what we've outlined, but if you think you can bring value to Ford Motor Company, we encourage you to apply! As an established global company, we offer the benefit of choice. You can choose what your Ford future will look like: will your story span the globe, or keep you close to home? Will your career be a deep dive into what you love, or a series of new teams and new skills? Will you be a leader, a changemaker, a technical expert, a culture builder…or all of the above? No matter what you choose, we offer a work life that works for you, including: • Immediate medical, dental, vision and prescription drug coverage • Flexible family care days, paid parental leave, new parent ramp-up programs, subsidized back-up child care and more • Family building benefits including adoption and surrogacy expense reimbursement, fertility treatments, and more • Vehicle discount program for employees and family members and management leases • Tuition assistance • Established and active employee resource groups • Paid time off for individual and team community service • A generous schedule of paid holidays, including the week between Christmas and New Year’s Day • Paid time off and the option to purchase additional vacation time. This position is a leadership level 5. For more information on salary and benefits, click here: https://fordcareers.co/LL5SP1 Visa sponsorship is not available for this position. Candidates for positions with Ford Motor Company must be legally authorized to work in the United States. Verification of employment eligibility will be required at the time of hire. We are an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, religion, color, age, sex, national origin, sexual orientation, gender identity, disability status or protected veteran status. In the United States, if you need a reasonable accommodation for the online application process due to a disability, please call 1-888-336-0660. Onsite work of up to four days per week may be required for candidates within commuting distance of a Ford hub location. #LI-Hybrid #LI-LB1
Solutions Engineer, Pre-Sales - Tokyo
About the Team The AI Architect team partners with organizations to turn OpenAI's most capable models into meaningful, real-world impact. We work with customers across industries and digital-native businesses to identify where AI can create value, design secure and scalable solutions, and help those solutions move from early exploration into sustained production adoption. The team brings together technical strategy, customer partnership, and practical deployment expertise, working closely with Sales, Product, Engineering, Research, and specialist delivery teams. About the Role As an AI Architect, you will be the senior technical owner for a named portfolio of customers and the primary technical counterpart to their leadership teams. You will act as the “CTO of your book of business”, shaping each customer's AI strategy and guiding their journey from pre-sales discovery and solution evaluation through deployment, adoption, and measurable business impact. You will own the technical account plan across ChatGPT Enterprise, the OpenAI API, Codex, and other agentic AI solutions. In partnership with the Account Director, you will translate business priorities into a focused use-case portfolio, an actionable adoption roadmap, and a clear path to durable customer value and growth. The Account Director owns commercial strategy; you own the technical strategy, customer journey, and path to production value. You will remain accountable for the technical outcome while bringing in the right specialists across deployment, implementation, enablement, security, product, and partners to provide deeper expertise and execute work where needed. This role calls for strong industry fluency, sound architectural judgment, and the ability to move confidently between executive strategy and hands-on technical conversations. In this role, you will: - Serve as the primary technical advisor and long-term technical relationship owner for a named portfolio of existing customers and pre-sales prospects. - Partner with Account Directors on account strategy while owning the technical account plan, technical milestones, adoption priorities, and expansion opportunities. - Lead discovery with executives and technical teams to identify, qualify, and prioritize use cases tied to meaningful business outcomes. - Develop clear Applied AI Architectures spanning models, applications, data, integration, security, privacy, governance, evaluation, and deployment. - Guide customers through technical evaluations, demonstrations, workshops, prototypes, and proofs of value, securing confidence in both the solution and its path to production. - Maintain a focused use-case portfolio with clear decision criteria, ownership, blockers, success measures, delivery needs, and adoption plans. - Develop trusted relationships and technical champions across CTOs, CIOs, CISOs, AI leaders, engineering teams, and other customer stakeholders. - Qualify and coordinate support from Deployment Engineering, implementation, training and enablement, product and domain specialists, partners, and other delivery teams. - Remain accountable for technical progress and customer outcomes while ensuring delivery teams own implementation execution once engaged. - Track adoption, usage, account health, production readiness, and measurable customer impact, intervening early when risks threaten value realization. - Apply industry or digital-native expertise to recognize repeatable patterns, sharpen customer priorities, and identify relevant expansion opportunities. - Share customer insights with Product, Engineering, and Research, translating field learnings into better products, architecture guidance, and reusable practices. You might thrive in this role if you: - Have significant experience in customer-facing technical roles such as solutions architecture, solutions engineering, technical account leadership, AI deployment, or technical customer success. - Have guided enterprise organizations from technical evaluation through production adoption and measurable business impact. - Build credibility with senior technical and business leaders while communicating equally well with hands-on engineers. - Bring strong software and cloud architecture foundations, including APIs, distributed systems, data integration, identity, security, and privacy. - Understand modern AI systems, frontier LLM models, agentic applications, model evaluation, retrieval, or enterprise AI workflows. - Can prototype, explain technical tradeoffs, and work confidently with APIs, SDKs, and languages such as Python or JavaScript. - Exercise sound judgment about when to go deep personally, when to involve specialists, and how to define clear handoffs and ownership. - Have experience developing technical account plans, prioritizing complex customer portfolios, and connecting adoption to measurable outcomes. - Bring meaningful expertise in a relevant industry or strong fluency with the needs of digital-native businesses. - Communicate clearly and can turn ambiguity into a practical technical narrative, executive decision, or action plan. - Work collaboratively across disciplines and care deeply about helping organizations deploy advanced AI responsibly. 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 . 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 . 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 . OpenAI Global Applicant Privacy Policy 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.
Account Director, Healthcare
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 As an Account Director focused on Healthcare, you will own executive-level relationships with leading healthcare organizations, including integrated delivery networks (IDNs), health systems, academic medical centers, health insurers, digital health companies, and healthcare technology providers. You’ll help these organizations safely and effectively deploy OpenAI’s technology to improve clinical and administrative workflows, enhance patient and provider experiences, automate operational processes, and accelerate enterprise-wide AI adoption. This role blends enterprise sales expertise, technical depth, business acumen, and relationship-driven selling. You will collaborate closely with researchers, engineers, and healthcare-focused solution strategists to design secure, compliant, and high-impact AI deployments. This role is based in San Francisco. We use a hybrid work model of three days in the office per week and offer relocation assistance to new employees. In this role, you’ll: - Manage a focused portfolio of large healthcare provider, payer, and healthcare technology accounts, developing long-term strategic account plans. - Lead complex, multi-stakeholder sales cycles spanning clinical, operational, IT, digital transformation, and executive leadership teams. - Partner with Solutions and Research Engineering to design pilots that demonstrate measurable business impact and accelerate AI adoption. - Collaborate with compliance, privacy, and security teams to ensure responsible deployment of AI in regulated healthcare environments. - Own a revenue and consumption target; manage forecasts and pipeline reporting. - Monitor healthcare industry trends, AI regulation, interoperability standards, and policy changes to guide customer and product strategy. - Represent OpenAI at industry conferences and thought leadership events (e.g., HIMSS, ViVE, HLTH, Becker’s Healthcare). - Partner cross-functionally with Marketing, Partnerships, and Communications to build OpenAI’s Healthcare go-to-market motion. We’re seeking someone with experience including: - 14+ years selling complex enterprise software, cloud, AI, or platform solutions to healthcare organizations. - Proven success achieving annual revenue targets >$2M+ in complex enterprise environments. - Experience managing C-suite relationships across healthcare organizations, including CIOs, Chief Digital Officers, Chief Medical Information Officers (CMIOs), Chief Information Security Officers (CISOs), and operational leaders. - Strong understanding of healthcare provider and payer organizations, including clinical operations, administrative workflows, digital transformation, patient engagement, or healthcare IT. - Familiarity with healthcare privacy, compliance, security, and regulatory considerations, including HIPAA. - Demonstrated ability to design and execute complex enterprise account and partnership strategies. You might thrive in this role if you: - Are customer-centric and can translate complex healthcare and business challenges into transformative AI solutions. - Are passionate about improving healthcare through the safe, responsible, and ethical use of AI. - Are a builder who enjoys designing scalable systems and repeatable sales motions from the ground up. - Are a strategist who anticipates industry shifts and guides enterprise customers through them. - Are energized by ambiguity and motivated to create structure and clarity across complex, cross-functional engagements. 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 . 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 . 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 . OpenAI Global Applicant Privacy Policy 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.
Protection Scientist Engineer, Integrity
About the Team The Integrity team is responsible for the scaled systems that help identify and respond to bad actors and harm on OpenAI’s platforms. We protect users and the wider world by developing responses to complex harms and building the harm protections needed for new product and model launches. Integrity’s work spans not only across frontier harms like biological weapons and cybersecurity, but also high severity abuses such as child safety, nation-state misuse, and violence. About the Role Protection Scientists within Integrity design, orchestrate, and mature systems of defence against usage harms enabled by OpenAI's products. We are systems thinkers that combine deep harm domain expertise with breadth across investigation, data science, machine learning, policy and operations. Our distinctive strength is understanding how these disciplines fit together and translating between them to design and build effective systems of defence. Your core hands-on technical responsibility is harm detection. You will design, build, evaluate and maintain production detection systems, drawing on investigative expertise, data and shared engineering platforms. You will develop signals, classifiers and detection systems, and improve their ability to identify harmful activity accurately as products and behaviour evolve. You will also own the strategy and cross-functional delivery of protection work for a harm area or product launch. Working closely with investigators and other domain experts, you will ground the design in a deep understanding of how the harm occurs and translate that understanding into a system of defence. You will connect detection with policy, review, interventions, enforcement and measurement, continually calibrating the system against real cases and expert judgement as it scales. You will identify what needs to be built or changed and make it happen. Success requires setting clear priorities, aligning partners, resolving dependencies and communicating evidence, decisions and trade-offs crisply. It also requires a willingness to jump in and work directly on whatever is blocking system effectiveness, using your breadth of skills. This role is based in our SF, NYC, or London offices and includes participation in an on-call rotation that may involve resolving urgent escalations outside normal working hours. Some investigations may involve sensitive content, including sexual, violent or otherwise disturbing material. In this role, you will: - Define and drive protection strategy for a harm area or launch. Translate ambiguous risks into goals, priorities and roadmaps, and make trade-offs based on evidence, risk and available capacity. - Directly build and maintain harm detection. Develop production signals, classifiers and pipelines using SQL, Python, machine learning and language models, integrating with shared engineering platforms. - Lead cross-functional execution. Translate between specialist roles, establish shared understanding and ownership, resolve technical and organisational dependencies, and communicate recommendations and specific asks clearly. - Investigate emerging harms and abuse patterns. Work with world class domain experts to distinguish harmful activity from legitimate use, develop detection criteria, and inform policies and review protocols with Policy and Operations partners. - Evaluate and improve the complete system of defence. Measure remaining harm, detection quality and intervention effectiveness and collaborate with Data Science on more sophisticated metrics. Use expert feedback and operational outcomes to guide improvements. - Protect product and model launches. Define data, detection and review requirements; establish monitoring; investigate gaps and critical escalations; and drive improvements informed by post-launch findings. - Scale effective approaches with language models, agents and reusable tools. Choose where automation and human judgement are needed, and build documentation and processes that improve reliability and help others extend the work. You might thrive in this role if you: - Think in systems. You have enough breadth across technical, analytical, investigative and operational disciplines to understand how they fit together, recognise gaps and translate between specialist perspectives. - Bring deep expertise in at least one relevant harm domain, developed through integrity, trust and safety, security, investigations or related work. You approach unfamiliar problems with curiosity and respect for expert knowledge and you are driven by reducing harm. - Are proficient in SQL and Python and have experience writing reliable and efficient production code for detection and data processing. Additional ML or SWE experience is a plus. - Can apply quantitative analysis and machine-learning methods to measure risks and evaluate system effectiveness. You understand the limitations of your data and can reason about missed harms, false positives and appropriate interventions. Additional DS/measurement background is a plus. - Have experience setting strategy and delivering complex, cross-functional technical projects. You can turn an ambiguous problem into a plan, align people with different priorities and drive work through to completion. - Communicate clearly and concisely in writing and conversation. You can explain technical findings, make actionable recommendations and surface uncertainty and trade-offs to different audiences. - Can use language models and other automation to scale analytical, investigative or operational work, with evaluation and human oversight appropriate to the problem. 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 . 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 . 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 . OpenAI Global Applicant Privacy Policy 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.
Software Engineer, Infrastructure Security
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 operational in how we execute, and we support every product and research effort at OpenAI. Our tenets include prioritizing for impact, enabling researchers and developers, preparing for future transformative technologies, and fostering a strong, collaborative security culture. About the Role OpenAI is seeking a Security Software Engineer to join the Infrastructure Security (InfraSec) team. InfraSec safeguards the core of OpenAI’s research and production environments—GPU supercomputing clusters, multi-cloud infrastructure, datacenters, networking, storage, and the critical services that power our frontier AI models. Our charter spans everything from bare-metal hardware and firmware to Kubernetes clusters, service meshes, and the data pathways that carry highly sensitive model weights and user data. As a Security Software Engineer, you will design and build critical foundational services, such as authentication systems, egress/ingress proxies, access brokers, and key management platforms, that demand high standards of reliability, scalability, and software craftsmanship. These systems form the security backbone of OpenAI’s supercomputing environment and must remain robust under intense scale and adversarial pressure. In this role, you will: - Architect and implement production-grade security services (e.g., auth services, access brokers, secure proxies, key-management infrastructure) that provide strong guarantees across hardware, operating systems, Kubernetes, networks, and CI/CD. - Partner with infrastructure and research engineers to embed security into high-performance compute clusters, enabling rapid model training and deployment without compromising protection. - Develop automation and detection tooling to continuously identify and mitigate risks in large-scale cloud and on-prem environments. - Drive high-impact initiatives such as line-speed encryption, machine identity, and network isolation, continuously raising the security bar for emerging AI workloads. - Lead or participate in design reviews and threat models to ensure new systems launch with strong security foundations and operational excellence. You will thrive in this role if you have: - Strong software engineering skills in languages such as Python, Go, Rust, or C/C++, with a track record of shipping and operating high-reliability distributed services. - Experience building or operating critical security infrastructure (e.g., auth services, service-to-service proxies, certificate or key-management systems). - Deep understanding of security principles, best practices, and common vulnerabilities. - Expertise in securing large-scale cloud platforms (e.g., Azure, AWS, GCP), including multi-cloud networks and cloud-agnostic system design. - Familiarity with container and orchestration security (Kubernetes, service meshes) and modern authentication/authorization standards (OIDC, mTLS, SPIFFE/SPIRE). - A proactive mindset, with the ability to identify and address security gaps or inefficiencies through automation and tooling. - A track record of delivering scalable solutions and driving impactful changes across infrastructure in real-world projects. - Strong analytical and problem-solving skills, with an ability to think critically and objectively assess security risks. - Excellent communication skills, with the ability to convey complex security concepts to technical and non-technical stakeholders. - Excitement about collaborating with cross-functional teams to build secure, reliable systems that scale globally. 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 . 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 . 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 . OpenAI Global Applicant Privacy Policy 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.
Security Engineer, Infrastructure Security
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 OpenAI is seeking a Security Engineer to join our Infrastructure Security (InfraSec) team. InfraSec protects the foundations of OpenAI’s research and production environments, spanning GPU supercomputing clusters, multi-cloud infrastructure, datacenters, networking, storage, and the critical services that power our frontier AI models. Our charter includes securing everything from bare-metal hardware and firmware, to Kubernetes clusters and service meshes, to data storage and access pathways for highly sensitive model weights and user data. In this role, you will: - Design and build security controls across diverse layers (e.g., physical hardware, firmware/BMC, OS, Kubernetes, networks, and CI/CD) to defend against sophisticated adversaries and insider threats. - Collaborate with engineering and security teams to drive deployment of security enhancements and control changes across broad-scale infrastructure. - Tackle high-impact projects such as checkpoint encryption, network isolation, secret management, and machine identity, while continuously raising the security bar for emerging AI workloads. - Take a generalist approach to building security controls, balancing a mix of security expertise and broad technical skillsets to adapt to evolving challenges. You will thrive in this role if you have: - Deep understanding of security principles, best practices, and common vulnerabilities. - A proactive mindset, with the ability to identify and address security gaps or inefficiencies through automation and tooling. - A track record of delivering scalable solutions and driving impactful changes across infrastructure in real-world projects. - Expertise in the security of cloud platforms (e.g., Amazon AWS, Microsoft Azure), especially securing multi-cloud networks and infrastructure, and designing cloud agnostic systems. - Experience securing on-prem deployments and datacenters from construction to multi-tenant use. - Familiarity with container security, orchestration security, and authentication/authorization. - Strong analytical and problem-solving skills, with an ability to think critically and objectively assess security risks. - Excellent communication skills, with the ability to convey complex security concepts to technical and non-technical stakeholders. - Excitement about collaborating with cross-functional teams to build secure, reliable systems that scale globally. 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 . 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 . 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 . OpenAI Global Applicant Privacy Policy 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.
Training Performance Engineer
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 Performance Engineer, you’ll drive efficiency improvements across our distributed training stack. You’ll analyze large-scale training runs, identify utilization gaps, and design optimizations that push the boundaries of throughput and uptime. This role blends deep systems understanding with practical performance engineering — analyzing GPU kernel performance, collective communication throughput, investigating I/O bottlenecks, and sharding our models so we can train them at massive scale. You’ll help ensure that our clusters are running at peak performance, enabling OpenAI to train larger, more capable models with the same compute budget. This role is based in San Francisco, CA. We use a hybrid work model of three days in the office per week and offer relocation assistance to new employees. In this role, you will: - Profile end-to-end training runs to identify performance bottlenecks across compute, communication, and storage. - Optimize GPU utilization and throughput for large-scale distributed model training. - Collaborate with runtime and systems engineers to improve kernel efficiency, scheduling, and collective communication performance. - Implement model graph transforms to improve end to end throughput. - Build tooling to monitor and visualize MFU, throughput, and uptime across clusters. - Partner with researchers to ensure new model architectures scale efficiently during pre-training. - Contribute to infrastructure decisions that improve reliability and efficiency of large training jobs. You might thrive in this role if you: - Love optimizing performance and digging into systems to understand how every layer interacts. - Have strong programming skills in Python and C++ (Rust or CUDA a plus). - Have experience running distributed training jobs on multi-GPU systems or HPC clusters. - Enjoy debugging complex distributed systems and measuring efficiency rigorously. - Have exposure to frameworks like PyTorch, JAX, or TensorFlow and an understanding of how large-scale training loops are built. - Are comfortable collaborating across teams and translating raw profiling data into practical engineering improvements. Nice to have: - Familiarity with NCCL, MPI, or UCX communication libraries. - Experience with large-scale data loading and checkpointing systems. - Prior work on training runtime, distributed scheduling, or ML compiler 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 . 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 . 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 . OpenAI Global Applicant Privacy Policy 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.
Data Scientist, Financial Engineering
About the Team OpenAI’s Financial Engineering (FinEng) team powers how revenue flows through our products—pricing & packaging, checkout, payments, subscriptions, and the financial infrastructure behind them. We partner with Product, Engineering, Risk, Finance, and Go-to-Market to make paying for OpenAI products seamless, reliable, and efficient worldwide. About the Role As a Data Scientist on FinEng, you’ll own the analytics and experimentation that improve our checkout and payments , subscriptions , and pricing & monetization systems. You’ll define the metrics that matter, build the source-of-truth data assets, and design experiments that increase conversion, reduce churn and payment failures, and expand global payment method coverage. Your work will directly influence revenue, customer experience, and how we scale internationally. 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 checkout & payments analytics and experimentation across methods and locales (e.g., bank transfers, emerging rails), improving conversion while monitoring risk and latency. - Build and run the experimentation program for in-house checkout—define success metrics and guardrails, execute staged rollouts, and use offline incrementality when online tests aren’t feasible. - Create operational visibility and source-of-truth data with FinEng Data Engineering—land team-level metrics, SLAs, and self-serve dashboards that drive proactive action. - Lead subscription, retention, and monetization analytics—ship launch-readiness for new subscription features, reduce involuntary churn (e.g., targeted retrials/nudges), and develop elasticity/FX frameworks toward pricing optimality. You might thrive in this role if you have - 5+ years in a quantitative role (data science, product analytics, or experimentation) in high-growth or fintech environments - Fluency in SQL and Python , with a track record designing and interpreting A/B tests and quasi-experiments - Experience building product metrics from scratch and operationalizing them for decision-making - Excellent communication skills with PMs, engineers, risk/finance partners, and executives - Strategic instincts beyond significance tests—clear thinking about tradeoffs (conversion vs. risk vs. cost vs. user experience) You could be an especially great fit if you have - Payments, checkout, or subscription analytics experience (PSPs, bank rails, disputes/refunds, risk, e-commerce) - Background in offline incrementality methods, uplift modeling, CUPED/causal inference, or counterfactual evaluation - Experience with internationalization/local payments, FX, and pricing & packaging strategy - Comfort building operational analytics (alerting, SLIs/SLOs) and partnering closely with data 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 . 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 . 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 . OpenAI Global Applicant Privacy Policy 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.
Data Scientist, Platform and B2B Products
About the Team OpenAI’s Platform team powers how millions of developers and enterprises build with our models. We provide APIs and agentic solutions used by global startups and fortune 500s. We work closely with product, engineering, design, and go-to-market to build a world-class platform that pushes the frontier of AI capabilities. About the Role As a Data Scientist on the Platform team, you will drive a data-driven culture for OpenAI’s API and B2B solutions. You’ll define the metrics that matter for developer success and enterprise value, measure the impact of new models and features, and partner with PMs and engineers to improve model quality, reliability, latency, and cost. Your work will shape how thousands of products adopt agentic 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 - Embed with the Platform product team as a trusted partner, uncovering ways to improve developer experience, reliability, and usage growth - Define north-star metrics across the developer funnel (activation, retention, growth), as well as latency/cost guardrails for new features and models - Design and interpret A/B tests and controlled rollouts (e.g., new model versions, pricing/limits, new API features, new B2B products) - Build source-of-truth dashboards and self-serve data tools for product, engineering, and go-to-market teams - Translate product learnings into actionable feedback for Research (e.g., failure modes, eval gaps, model response quality) You might thrive in this role if you have - 5+ years in a quantitative role in ambiguous, high-growth environments (platforms, APIs, or B2B products a plus) - Depth in SQL and Python, with a track record proposing, designing, and running rigorous experiments - Experience defining and operationalizing metrics from scratch (including reliability/latency/cost and safety) - Strong cross-functional communication with PMs, engineers, and executives - Strategic instincts beyond p-values—clear thinking about tradeoffs and business impact You could be an especially great fit if you have - Background in developer platforms, observability, or usage-based pricing/quotas - Experience connecting offline evals to online product impact - Prior work in NLP/LLMs or agentic systems, or in enterprise analytics for B2B products 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 . 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 . 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 . OpenAI Global Applicant Privacy Policy 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.
Data Scientist, Codex
About the Team Codex is OpenAI’s first-party developer product focused on agentic software engineering. We’re building tools that help engineers design, write, test, and ship code faster—safely and at scale. We partner tightly with research and product to translate model advances into tangible developer productivity. About the Role As a Data Scientist on Codex, you will measure and accelerate product-market fit for AI developer tools. You’ll define what “developer productivity” means for our product, run experiments on new coding models and UX, and pinpoint where the model helps or hurts across languages and tasks. Your insights will directly shape how an entire industry builds software. 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 - Embed with the Codex product team to discover opportunities that improve developer outcomes and growth - Design and interpret A/B tests and staged rollouts of new coding models and product features - Define and operationalize metrics such as suggestion acceptance, edit distance, compile/test pass rates, task completion, latency, and session productivity - Build dashboards and analyses that help the team self-serve answers to product questions (by language, framework, repo size, task type) - Diagnose failure modes and partner with Research on targeted improvements (model quality signals, user feedback, evals) You might thrive in this role if you have - 5+ years in a quantitative role at a developer-facing or high-growth product - Fluency in SQL and Python; comfort with experiment design and causal inference - Experience defining product metrics tied to user value - Ability to communicate clearly with PM, Eng, and Design—and to influence product direction You could be an especially great fit if you have - Strong programming background; ability to prototype, run simulations, and reason about code quality - Familiarity with IDE/extension telemetry or developer tooling analytics - Prior experience with NLP/LLMs, code models, or evaluations for generative coding 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 . 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 . 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 . OpenAI Global Applicant Privacy Policy 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.
Software Engineer - Privacy & Compliance
We’re looking for a Software Engineer to architect and build backend systems that enforce data privacy and automate compliance at scale. You’ll work closely with product, infrastructure, security, and legal teams to embed privacy-by-design into our data and access layers. This is a hands-on, high-impact role for an experienced engineer who is passionate about protecting user data while enabling innovation. What You’ll Do - Design, build, and operate backend services that enforce policy-driven data access, lifecycle controls, and privacy protections. - Develop distributed authorization and identity-aware enforcement mechanisms integrated directly into data services and control planes. - Implement auditability, policy hooks, and enforcement observability to ensure compliance is continuously verifiable. - Partner with Security, Legal, and Compliance to convert privacy requirements into scalable technical designs and developer-friendly APIs. - Harden data platforms and backend services through schema-level controls and data handling constraints by default. - Collaborate with infrastructure teams to ensure consistent enforcement across systems while minimizing duplicated implementations. - Contribute patterns, libraries, and education that elevate trustworthy data access patterns across the organization. You Might Thrive in This Role If You Have - 5+ years of industry experience building and operating backend or infrastructure systems in production. - Strong software engineering fundamentals , with fluency in at least one major programming language (e.g., Python, Go, Rust, C++, Java). - Experience with distributed authorization, RBAC/ACL systems, encryption-based access, or policy engines. - Familiarity with global privacy regulations and their architectural implications. - Ability to influence and collaborate with teams across legal, compliance, product, and engineering. - A bias toward practical, impactful solutions that balance privacy protections with product needs. Nice to Have - Experience with cloud platforms (e.g., Azure, AWS, GCP) and large-scale data systems. - Background in security engineering, privacy engineering, or data governance. - Experience with control-plane or metadata-driven enforcement systems. - Exposure to data platforms or ML infrastructure. - Prior experience in a regulated or highly sensitive data environment. 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 . 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 . 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 . OpenAI Global Applicant Privacy Policy 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.
Strategic Sourcing Manager, Compute Infrastructure
About the Team OpenAI, in close collaboration with our capital partners, is building the world’s most advanced AI compute infrastructure ecosystem. The InfraDev team is central to this mission, setting the strategy and executing the roadmap to scale our supercomputing footprint globally. From site planning to system integration, this team operates at the intersection of commercial, technical, and operational excellence, partnering with leaders across OpenAI and the industry. About the Role We are seeking a Strategic Sourcing Manager who is ready to take on global-scale challenges in AI compute supply and manufacturing — an opportunity to shape the future of supercomputing. As part of the Infrastructure Strategy & Delivery organization supporting Industrial Compute, OpenAI’s next-generation supercomputing platform, you will lead sourcing and strategic supplier engagements for compute infrastructure at hyperscale. This role will drive commercial strategy and supplier accountability across server platforms, accelerators, rack systems, and associated thermal & power delivery components. This is not traditional procurement — it is foundational work enabling OpenAI to deploy compute faster and more efficiently than anyone in the world, while building deeply-integrated partnerships with the global compute supply chain. Key Responsibilities - Develop and execute sourcing strategies for the next generation of AI compute infrastructure in partnership with engineering and program leadership. - Stay at the leading edge of industry and supply-chain trends to inform category strategy and long-range planning. - Initiate, negotiate, and manage commercial agreements across OEM/ODM/JDMs for accelerators, GPUs/CPUs, server platforms, rack systems, liquid-cooling components, PSUs, and supporting mechanical/electrical subsystems. - Secure capacity and optionality across a rapidly scaling compute supply chain while mitigating risk and ensuring manufacturing readiness. - Partner cross-functionally with engineering, program delivery, legal, operations, and finance to ensure sourcing strategies align with technical and program objectives. - Drive competitive sourcing events, commercial structuring, and vendor accountability across the compute bill of materials. - Provide technical and commercial evaluation guidance during supplier selection and product qualification cycles. - Deliver portfolio-level visibility to executive stakeholders on progress, risks, and decision points with clarity and precision. Qualifications - 10+ years of strategic sourcing and vendor management experience, with deep expertise in compute systems and hardware supply chains. - Demonstrated leadership sourcing for high-performance compute, accelerators, and data-center server platforms — ideally including OEM/JDM/ODM engagement. - Technical fluency in compute architecture, including GPUs, CPUs, server platforms, rack systems, cold-plate & liquid-cooling design, and associated power delivery subsystems. - Proven success negotiating complex capital procurement agreements and supplier capacity programs at hyperscale. - Ability to influence cross-functional technical and executive teams and drive alignment in fast-moving, high-stakes environments. - Strong analytical decision-making and commercial structuring skills, balancing speed, cost, technical requirements, and strategic risk. - Experience with global manufacturing, supply chain readiness, long-lead materials, and ramp-to-volume for high-complexity hardware. - Familiarity with hyperscale data-center operational requirements, testing/qualification cycles, and integration workflows. - Procurement, supply chain, program management, or data-center hardware certifications are advantageous. 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 . 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 . 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 . OpenAI Global Applicant Privacy Policy 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.
Hardware Operations Engineer
About the Team OpenAI, in close collaboration with our capital partners, is building the world’s most advanced AI infrastructure ecosystem. Our Industrial Compute organization develops and deploys large-scale AI campuses designed to support the next generation of frontier model training and inference workloads. The Hardware Operations team is responsible for ensuring the reliability, availability, and lifecycle health of OpenAI’s compute infrastructure. We partner closely with Data Center Operations, Fleet Health Engineering, Manufacturing, Network Infrastructure, Capacity Planning, and our infrastructure partners to maintain world-class operational performance across rapidly expanding AI environments. As we scale globally, we are building the operational frameworks, reliability standards, and sustaining engineering practices required to support thousands of GPUs and servers across multiple campuses. About the Role We are seeking a Hardware Operations Engineer to serve as the technical authority for hardware reliability and fleet health at one of OpenAI’s flagship AI campuses. This role operates at the intersection of hardware operations, sustaining engineering, and fleet reliability. You will partner closely with Cloud Service Provider operations teams, OpenAI fleet-health engineers, hardware engineering teams, and OEM vendors to identify, diagnose, and resolve hardware issues affecting production systems. Beyond day-to-day operational support, you will drive root cause investigations, reliability improvement initiatives, lifecycle management programs, and operational readiness efforts. You will help establish hardware maintenance standards, operational procedures, and best practices that scale across future OpenAI infrastructure deployments. The ideal candidate combines deep hands-on datacenter hardware expertise with strong troubleshooting, failure analysis, and cross-functional leadership skills. Candidates must be able to sit onsite at our datacenters 5 days per week. Key Responsibilities - Drive technical triage and resolution of complex hardware failures impacting production systems. - Partner with Fleet Health Engineering to investigate recurring hardware issues, identify failure patterns, and improve fleet reliability. - Lead root cause analysis (RCA) efforts for critical hardware incidents and develop corrective and preventive action plans. - Collaborate with Cloud Service Provider operations teams and OEM vendors to coordinate repairs, replacements, upgrades, and hardware lifecycle activities. - Establish and continuously improve hardware maintenance procedures, operational runbooks, and troubleshooting standards. - Analyze hardware failure trends and operational metrics to identify reliability risks and improvement opportunities. - Support new hardware introductions, validation activities, and production readiness reviews. - Coordinate spare parts strategy and inventory planning with supply chain and site teams. - Partner with Hardware Engineering, Manufacturing, and Infrastructure teams to provide field feedback that improves future platform designs. - Develop scalable operational standards and best practices that can be deployed across future Stargate campuses. - Mentor on-site technicians and partner teams on advanced troubleshooting methodologies and hardware operational excellence. Qualifications - 8+ years of experience supporting large-scale datacenter hardware infrastructure, with experience in a senior technician, sustaining engineering, or hardware operations leadership role. - Deep expertise with server platforms, GPU systems, storage infrastructure, rack integration, and datacenter hardware architecture. - Strong experience diagnosing complex hardware failures and leading repair efforts in production environments. - Experience conducting root cause analysis and driving long-term corrective actions. - Strong understanding of hardware reliability engineering principles and fleet-health management. - Proven ability to partner effectively across engineering, operations, manufacturing, and vendor organizations. - Comfortable operating independently in high-priority production environments with significant operational responsibility. - Excellent written and verbal communication skills with the ability to influence technical and operational decisions. - Experience developing operational processes, maintenance standards, and technical documentation. - Ability to travel occasionally to support new campus deployments and operational readiness activities. Preferred Qualifications - Experience supporting large-scale GPU clusters or AI/ML infrastructure environments. - Familiarity with fleet health systems, telemetry platforms, and hardware monitoring tools. - Ability to identify appropriate data and perform detailed analysis to support all elements of this role, including dashboard development - Experience with failure analysis methodologies such as FRACAS, RCCA, 5-Why, Fishbone, or FMEA. - Knowledge of Linux system administration and hardware validation workflows. - Experience supporting hyperscale datacenter operations or HPC environments. - Familiarity with server manufacturing, rack integration, and NPI-to-sustaining transitions. - Industry certifications such as CompTIA Server+, OEM hardware certifications, or equivalent experience. - Experience applying Environmental Health and Safety (EHS) practices in mission-critical datacenter 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 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 . 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 . 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 . OpenAI Global Applicant Privacy Policy 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.
Datacenter Networking Technician, AI Compute Deplo...
About the Team: OpenAI, in close collaboration with our capital partners, is embarking on a journey to build the world’s most advanced AI infrastructure ecosystem. Our Stargate program develops and deploys massive, state-of-the-art data center campuses in partnership with industry leaders today—and through future OpenAI infrastructure projects tomorrow. We design for scale, speed, and reliability, and we need experienced technicians who can translate network blueprints into physical reality. About the Role: We are seeking a Senior Data Center Networking Technician who thrives in fast-moving build environments and is eager to roll up their sleeves during active datacenter deployments. Your first assignment will focus on the physical bring-up of network infrastructure at a large partner-operated campus, collaborating with partner teams and their delivery vendors to achieve agreed performance and reliability targets. As that campus reaches steady state, you will transition to lead network deployment for future OpenAI data center projects, defining standards and guiding implementation across multiple locations. Candidates must be able to sit onsite in Abilene, Texas 5 days per week Key Responsibilities - Serve as OpenAI’s technical lead technician during the current campus build, partnering with internal engineers and external contractors on design reviews, installation plans, and acceptance criteria. - Spend significant time on the data-center floor performing inspections, assisting with cable routing/termination when needed, conducting fiber testing (OTDR, power levels, continuity), and resolving installation challenges in real time. - Troubleshoot and optimize cabling routes, patching, and equipment turn-up to ensure clean, reliable handoff to network operations. - Contribute to design discussions and peer reviews for structured cabling and physical network layouts, providing practical field feedback to engineering teams. - Develop repeatable engineering standards, as-built documentation, and deployment playbooks to accelerate future OpenAI campuses - Transition to hands-on design and deployment leadership for upcoming OpenAI data center expansions, owning network physical-layer deployment from design through commissioning. Qualifications - Have 7+ years of experience in large-scale datacenter network deployment, structured cabling, or physical-layer installation. - Possess deep knowledge of fiber/copper plant design, cabling standards, and hyperscale network best practices. - Excel in field work while applying seasoned technical judgment to solve complex installation and testing issues. - Adapt quickly to changing build conditions and enjoy learning emerging networking technologies. - Communicate clearly with construction, engineering, and operations teams to drive projects to completion. - Are willing to be based at a partner campus during the initial build phase and to travel to future OpenAI data center projects. Preferred Skills - Exposure to automation tools (Ansible, SaltStack) or scripting (Python, Shell) for configuration or documentation. - Experience with hyperscale Clos fabrics or large-scale network design. - Familiarity with routing and switching concepts (BGP, OSPF, EVPN/VXLAN) and basic Linux/network troubleshooting. - Industry certifications such as BICSI, CCNA/CCNP, or equivalent. 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 . 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 . 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 . OpenAI Global Applicant Privacy Policy 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.
Strategic Finance, Compute
About the Team The Compute & Infrastructure Strategy team handles strategy and execution of OpenAI’s compute roadmap. This team’s key responsibilities span financial analysis & reporting, capacity planning, commercial and business development, and strategic partnerships. We partner across the business to allocate and deploy our resources for the highest impact outcomes. About the Role Compute is central to OpenAI’s roadmap and vision. We are seeking a candidate to support financial and strategic work across our compute and infrastructure portfolio. This is a finance generalist role that includes core FP&A responsibilities as well as having the ability to understand investment analysis, commercial decision support, and strategic planning. You will partner closely with deal teams, technical and finance teams, Corporate FP&A and help shape decisions about how OpenAI invests in and manages compute. In this role, own and drive all financial planning, forecasting & close processes for the Compute & Infrastructure org by partnering with various stakeholders across Finance, Accounting, Tax and Engineering. You will play a critical role in planning and forecasting the company’s largest and most complex cost center ( Compute & Infrastructure ) In this role, you will: - Support & scale all FP&A functions including planning, forecasting, close, budgeting, reporting, and variance analysis across compute and infrastructure - Build and maintain driver based high level financial models across different elements of compute, including GPUs, CPUs, storage, networking, data centers, and power to support rapid / iterative short term and long term planning. - Consolidate various investment analysis across programs and create high-quality analyses, recommendations, and Exec and Board-facing presentations - Support business partners across compute infrastructure, FP&A, and strategic finance - Drive the improvement of the team’s processes, tools, and ways of working, and identify opportunities to scale effectively to support OpenAIs ambitious growth plans - Support & scale all FP&A functions including planning, forecasting, close, budgeting, reporting, and variance analysis across compute and infrastructure - Coordinate closely with Corporate FP&A on timelines and process - Develop frameworks for investment trade-offs to guide executive decision making - Partner with Accounting to ensure accurate classification of infrastructure spend (OpEx vs CapEx) - Translate complex infrastructure costs into clear insights for leadership - Effectively use internal AI tools to automate reporting/processes with a goal to improve efficiency and turn around time. You might thrive in this role if you have: - 7+ years in a finance and strategy operating role at a high-growth technology company - Background in infrastructure, data centers, compute, cloud, semiconductors, or a related industry strongly preferred - Strong financial modeling skills, particularly in capacity planning, unit economics, and scenario analysis under uncertainty - Exceptional analytical, financial modeling, and written and verbal communication skills - Proven ability to learn quickly and succeed in unfamiliar operating environments - Comfort independently structuring ambiguous problems and working through incomplete information - Track record of producing high-quality work under ambitious deadlines - Proficiency in Excel/Sheets, SQL, and BI tools (e.g., Tableau); experience with planning systems like Anaplan is a plus - Effectiveness in multidisciplinary, cross-functional environments - Familiarity with data systems, analytical tools, and large datasets preferred but not required - Bachelor’s degree or equivalent practical experience; technical undergraduate degree preferred 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 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 . 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 . 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 . OpenAI Global Applicant Privacy Policy 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.
Backend Software Engineer (Evals)
About the Team The Support Automation team at OpenAI scales the organization by applying cutting-edge AI models to real-world challenges, automating and enhancing work across the organization. From customer operations to engineering, we develop an ecosystem of automation products that empower our colleagues and drive impact. We're passionate about crafting products that serve those around us, blending rapid prototyping with a focus on long-term quality and reliability. By creating reusable solutions, we create patterns that can be applied across diverse domains within OpenAI. TLDR: this team leverages OpenAI technology to improve OpenAI, and you’ll have the opportunity to leverage the full extent of our tech (both public and pre-released) to accomplish this mission. About the Role We’re looking for a Backend Software Engineer with experience working in ML/LLM-heavy domains to help to design and build an evals infrastructure that measures the quality of OpenAI’s support automation. 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. The role will especially focus on working closely with Data Science and Research partners to design and build evals at scale. In this role, you will: - Design eval pipelines that are reliable, reproducible, and extendable - Build the infrastructure for continuous eval monitoring frameworks (regression/drift monitoring, building robust golden datasets) along with feedback loops that ultimately strengthen support automation - 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 data, 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 - Have experience building AI agents or applications, including designing evals and improving performance through prompting or scaffolding - Are familiar with evaluation methods for LLMs and have worked with patterns like multi-agent workflows, tool use, or long context. - Experience creating production evals and/or measuring performance of ML/LLM models at scale - A pragmatic mindset. You’re comfortable shipping iteratively while building toward a long-term vision 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 . 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 . 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 . OpenAI Global Applicant Privacy Policy 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.
Software Engineer, Data Infrastructure - Research
About the Team The Workload team is responsible for designing and running OpenAI’s LLM training and inference infrastructure that powers frontier models at massive scale. Our systems unify how researchers train and serve models, abstracting away the complexity of performance, parallelism, and execution across vast GPU/accelerator fleets. By providing this foundation, the Workload team ensures that researchers can focus on advancing model capabilities while we handle the scale, efficiency, and reliability required to bring those models to life. About the Role We are looking for an engineer to design and implement the dataset infrastructure that powers OpenAI’s next-generation training stack. You will be responsible for building standardized dataset interfaces, scaling pipelines across thousands of GPUs, and proactively testing performance bottlenecks. In this role, you will collaborate closely with the multimodal researchers, and other infra groups to ensure datasets are unified, efficient, and easy to consume. In this role, you will: - Design and maintain standardized dataset APIs, including for multimodal (MM) data that cannot fit in memory. - Build proactive testing and scale validation pipelines for dataset loading at GPU scale. - Collaborate with teammates to integrate datasets seamlessly into training and inference pipelines, ensuring smooth adoption and a great user experience. - Document and maintain dataset interfaces so they are discoverable, consistent, and easy for other teams to adopt. - Establish safeguards and validation systems to ensure datasets remain reproducible and unchanged once standardized. - Debug and resolve performance bottlenecks in distributed dataset loading (e.g., straggler systems slowing global training). - Provide visualization and inspection tools to surface errors, bugs, or bottlenecks in datasets. You might thrive in this role if you: - Have strong engineering fundamentals with experience in distributed systems, data pipelines, or infrastructure. - Have experience building APIs, modular code, and scalable abstractions, while recognizing that abstractions ultimately serve the users and UX is an important part of the abstractions design. - Are comfortable debugging bottlenecks across large fleets of machines. - Take pride in building infrastructure that “just works,” and find joy in being the guardian of reliability and scale. - Are collaborative, humble, and excited to own a foundational (if not glamorous) part of the ML stack. Bonus points if you: - Have background knowledge in data math, probability, or distributed data theory. - Have worked with GPU-scale distributed systems or dataset scaling for real-time data 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 . 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 . 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 . OpenAI Global Applicant Privacy Policy 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.
Manager, AI Deployment Engineering - Digital Nativ...
About the Team The Applied AI Engineering team partners closely with customers to help them turn frontier AI capabilities into real products, workflows, and business impact. We act as trusted technical partners across strategy, solution design, architecture, implementation, evaluation, and adoption, working alongside customers to build and scale effective AI applications with OpenAI’s technologies. The Digital Natives segment serves technology and software companies that are building AI into the core of their products and businesses. These customers are often highly technical, move quickly, and are among the earliest adopters of OpenAI’s newest capabilities. Our Applied AI Engineers work directly with their engineering, product, and technical leadership teams to identify high-impact opportunities, solve complex technical challenges, and bring ambitious AI applications into production. About the Role We are seeking a Manager, Applied AI Engineering (Digital Natives) to lead the team responsible for the technical success of our most strategic technology and software customers in the Americas. In this role, you will lead a team of Applied AI Engineers who work hands-on with customers to design, build, evaluate, and scale AI applications. You will help determine where deep technical partnership can unlock the greatest customer and business impact, while developing repeatable approaches that allow the team to support a broad and fast-moving customer segment. As a manager, you will set the strategy and operating model for the team, coach and develop engineers, and serve as a senior technical partner to customers and internal stakeholders. You will work closely with Sales, Product, Engineering, and Research to connect what we learn from customers with OpenAI’s product direction and help customers take advantage of our newest capabilities. Success in this role will be measured by meaningful production applications, sustained adoption and usage, strong customer outcomes, and technical patterns and insights that can be applied across the broader Digital Natives segment. This role is open in our San Francisco 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 - Own the strategy and operating model for the Digital Natives Applied AI Engineering team, ensuring alignment with OpenAI’s objectives and the evolving needs of technology and software customers. - Lead, hire, mentor, and develop a team of high-performing Applied AI Engineers responsible for delivering meaningful technical and customer outcomes. - Guide the team in working hands-on with customers to identify high-impact use cases, design and build AI applications, solve technical challenges, and scale successful solutions into production. - Partner closely with Sales to prioritize technical engagement across strategic customers and identify where Applied AI Engineering can unlock adoption, usage, and long-term customer growth. - Serve as a senior technical partner and escalation point for priority customers, building trusted relationships with engineering leaders, CTOs, and other executive stakeholders. - Represent the technical voice of Digital Native customers by synthesizing insights around model performance, developer experience, product gaps, emerging use cases, and technical blockers for Product, Engineering, and Research. - Translate recurring customer needs and successful implementations into repeatable technical patterns, reference architectures, playbooks, tooling, and best practices that allow the team to scale its impact. - Coach Applied AI Engineers on technical quality, customer judgment, prioritization, executive communication, and cross-functional partnership. - Help customers understand and apply OpenAI’s newest capabilities, identifying opportunities to build differentiated products and experiences with frontier models. - Champion the safe, reliable, and effective application of OpenAI’s technology across the Digital Natives ecosystem. You’ll Thrive in This Role If You - Have 8+ years of experience in deeply technical, customer-facing roles such as applied engineering, solutions architecture, deployment engineering, technical consulting, or similar roles. - Have 2+ years of experience leading technical teams, with a demonstrated ability to hire, develop, mentor, and manage high-performing engineers. - Have experience building or deploying generative AI, machine learning, developer platforms, or cloud-based software solutions in production environments. - Bring strong technical depth across APIs, AI/ML systems, application architecture, cloud infrastructure, and modern developer workflows. - Have hands-on software engineering experience and fluency with programming languages such as Python or JavaScript. - Are comfortable working directly with highly technical engineering and product teams as well as CTOs and other executive stakeholders. - Can translate ambiguous customer and business problems into clear technical approaches and guide teams from exploration through implementation and production. - Demonstrate strong judgment about when to invest deeply in an individual customer challenge versus when to develop a repeatable solution for the broader segment. - Are an effective communicator who can translate complex technical and business topics across audiences and coach others to do the same. - Thrive in ambiguous, fast-moving environments and are energized by working with customers at the forefront of AI adoption. - Demonstrate strong ownership, humility, curiosity, and a commitment to helping both customers and teammates succeed. - Are personally committed to fostering the safe and beneficial development 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 . 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 . 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 . OpenAI Global Applicant Privacy Policy 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.
Software Engineer, Research Developer Productivity
About the Team The Fleet team builds core components to enable productive research from small to state of the art scale across OpenAI, with the goal of accelerating progress towards AGI. We frequently collaborate with other teams to speed up the development of new state-of-the-art capabilities. About the Role As we scale up with more researchers and engineers joining OpenAI, we seek a pragmatic and passionate engineer with a strong focus on the development experience for both engineers and scientists. In this role, you will be responsible for building and maintaining systems that allow our research + engineering organization to iteratively develop, test, and deploy new features reliably, with high velocity, and with a frictionless and fast development cycle. You will help oversee and drive to the vision of how we should build, test and deploy software. You will drive the design of our continuous integration pipelines, testing infrastructure, training and support around our build system. Our current environment relies heavily on Python, Rust, and C++, which you will take ownership of and strive to transform into a state of the art development experience for research. Ultimately, your role will be to provide the necessary tools and metrics to support our fast-paced culture and ensure a stable, scalable platform for growth, while also fostering a seamless and low friction experience for OpenAI’s research. This role is based in San Francisco, CA. For a San Francisco role, 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: - Have supported large monorepo development and deployment before - Are a proficient Python programmer working in large monorepos - Are proficient with Docker and Kubernetes - Experienced in CI/CD 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 . 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 . 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 . OpenAI Global Applicant Privacy Policy 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.
Data Center Controls Network Engineer
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 Controls Network Engineer, you will design, validate, and scale the controls and OT network architectures that support high-density AI data centers. You will work across controls systems, OT infrastructure, telemetry, commissioning, deployment, and operations, partnering with mechanical, electrical, IT/networking, security, and external delivery teams. About the Role We are seeking a mid to senior OT Network Engineer with a strong controls systems background to lead the design and operation of resilient, secure, and scalable OT network architectures for high-density AI data centers. This role translates compute, power, cooling, and operational requirements into practical OT network designs, evaluates vendor solutions, and drives technical decisions across controls infrastructure, telemetry, commissioning, and operations. The ideal candidate has strong hands-on experience in mission-critical OT environments, including industrial networking, virtualized infrastructure, and OT network operations, with expertise in routing, switching, segmentation, firewall policy, time synchronization, monitoring, and network lifecycle support. Key Responsibilities - Define controls, automation, and OT network requirements for AI data center campuses. - Develop reference architectures, engineering standards, and reusable design templates. - Review and develop basis-of-design and functional design documents, including OT network diagrams, IP/VLAN schemes, telemetry architectures, data flow diagrams, and commissioning requirements. - Design OT and infrastructure network architectures, including physical topology, logical topology, IP addressing, subnetting, VLANs, routing, switching, redundancy, segmentation, firewall policy coordination, out-of-band management, monitoring, and remote access patterns. - Develop day-two network operations requirements, including change management, configuration backups, golden configurations, monitoring thresholds, firmware lifecycle, rollback plans, and post-change validation. - Partner with electrical, mechanical, IT/networking, security, and operations teams to ensure OT network systems align with GPU deployments, campus-wide telemetry, and failure-domain isolation requirements. - Define integration patterns and protocol requirements across BACnet/IP, BACnet MSTP, Modbus TCP/RTU, OPC UA, IEC-61850 MMS/GOOSE, MQTT, SNMP, syslog, NTP/PTP, IRIG-B, and vendor-specific interfaces. - Lead technical evaluation of controls integrators, network equipment suppliers, design consultants, contractors, and commissioning agents - Review network equipment submittals, configurations, firmware assumptions, certifications, test reports, and quality documentation. - Support factory witnessed testing (FWT), site acceptance testing, network readiness checks, failover testing, and integrated systems testing. - Troubleshoot complex controls network issues including packet loss, latency, duplicate IPs, routing errors, firewall drops, protocol incompatibilities, time synchronization drift, and intermittent device communication failures. Qualifications - 8+ years of relevant experience in controls engineering, industrial automation, OT networking, mission-critical facilities, or similar critical infrastructure environments. - Strong expertise in resilient OT network architecture, implementation, troubleshooting, and lifecycle support. - Experience with OT/IT boundary design, secure enterprise integration, firewall policy design, redundant topologies, out-of-band management, and monitoring. - Hands-on experience with Layer 3 OT network design, including IP addressing, subnetting, routing, VRFs, ACLs, inter-VLAN traffic control, and network segmentation. - Hands-on experience with Layer 2 security and switching controls, including MACsec, port security, loop prevention, and switch-level access control. - Hands-on experience in designing resilient OT network topologies using industrial redundancy protocols and architectures such as PRP, HSR, Cisco REP, RSTP/MSTP, and ring or star topologies. - Hands-on experience in designing resilient infrastructure network architectures using HSRP/VRRP, spine-leaf topologies, redundant uplinks, and failure-domain isolation. - Hands-on experience with industrial and infrastructure network equipment such as Cisco switches/routers, Juniper switches/routers, Palo Alto firewalls, Rockwell Automation Stratix switches, Siemens Ruggedcom or comparable industrial networking platforms. - Experience with network management and observability platforms such as Cisco Catalyst Center (DNA Center), Palo Alto Panorama, Juniper Mist, industrial NMS tools, packet brokers, and OT monitoring platforms. - Hands-on experience with industrial Ethernet, VPN tunneling, IPsec-based connectivity, and secure remote access. - Hands-on experience with virtualized OT or controls server environments such as VMware vSAN, Microsoft Azure Stack HCI / Hyper-V, or comparable infrastructure platforms. - Experience with industrial communication and OT infrastructure protocols, including BACnet/IP, BACnet MSTP, Modbus TCP/RTU, OPC UA, IEC-61850 MMS/GOOSE, MQTT, SNMP, syslog, NTP/PTP, IRIG-B, and vendor-specific interfaces, and strong understanding of their behavior across OT network architectures. - Experience reviewing and producing technical design documentation, commissioning plans, and acceptance test procedures. - Experience with factory witnessed testing, site acceptance testing, failover testing, telemetry validation, protocol compatibility testing, and root-cause analysis. - Ability to use logs, packet captures, and field observations to make sound technical decisions and communicate risk clearly. - Bachelor’s degree in Electrical Engineering, Computer Engineering, Network Engineering, Systems Engineering, or a related discipline. Preferred Skills - Master's degree in Electrical Engineering, Computer Engineering, Network Engineering, Systems Engineering, or a related discipline. - Experience leading multi-campus OT network integration, commissioning, and operations across cross-functional teams, contractors, vendors, and delivery partners. - Relevant networking certifications such as Cisco CCNA/CCNP, Palo Alto PCNSA/PCNSE, Juniper JNCIA/JNCIS, or similar networking credentials. - Cybersecurity certifications such as CISSP, GICSP, ISA/IEC 62443, CompTIA Security+, or similar cybersecurity credentials are a plus. - Experience with network automation, Git-based configuration management, and Infrastructure as Code (IaC) using tools such as Ansible, Terraform, Python, or similar to support scalable OT network deployment and lifecycle management. - Experience with scripting, APIs, and automation workflows that improve OT network operations. - Experience using AI agents or MCP-connected tools to support telemetry analysis,and troubleshooting. - Experience with relational database systems such as PostgreSQL, SQL Server, MySQL, or similar platforms used for OT telemetry, historian integrations, troubleshooting, and reporting. Work Environment and Travel - This role requires periodic travel to data center campuses, vendors, labs, construction sites, commissioning activities, and controls/network cutovers. - The engineer should be comfortable working across office, lab, construction, and live data center environments, including PPE, lockout/tagout, cyber hygiene, and change-control requirements. - Work may include time-sensitive support during commissioning, startup, vendor testing, cutovers, network changes, telemetry issues, automation failures, and operational events. 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 . 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 . 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 . OpenAI Global Applicant Privacy Policy 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.
Protection Scientist Engineer, Integrity
About the Team The Integrity team is responsible for the scaled systems that help identify and respond to bad actors and harm on OpenAI’s platforms. We protect users and the wider world by developing responses to complex harms and building the harm protections needed for new product and model launches. Integrity’s work spans not only across frontier harms like biological weapons and cybersecurity, but also high severity abuses such as child safety, nation-state misuse, and violence. About the Role Protection Scientists within Integrity design, orchestrate, and mature systems of defence against usage harms enabled by OpenAI's products. We are systems thinkers that combine deep harm domain expertise with breadth across investigation, data science, machine learning, policy and operations. Our distinctive strength is understanding how these disciplines fit together and translating between them to design and build effective systems of defence. Your core hands-on technical responsibility is harm detection. You will design, build, evaluate and maintain production detection systems, drawing on investigative expertise, data and shared engineering platforms. You will develop signals, classifiers and detection systems, and improve their ability to identify harmful activity accurately as products and behaviour evolve. You will also own the strategy and cross-functional delivery of protection work for a harm area or product launch. Working closely with investigators and other domain experts, you will ground the design in a deep understanding of how the harm occurs and translate that understanding into a system of defence. You will connect detection with policy, review, interventions, enforcement and measurement, continually calibrating the system against real cases and expert judgement as it scales. You will identify what needs to be built or changed and make it happen. Success requires setting clear priorities, aligning partners, resolving dependencies and communicating evidence, decisions and trade-offs crisply. It also requires a willingness to jump in and work directly on whatever is blocking system effectiveness, using your breadth of skills. This role is based in our SF, NYC, or London offices and includes participation in an on-call rotation that may involve resolving urgent escalations outside normal working hours. Some investigations may involve sensitive content, including sexual, violent or otherwise disturbing material. In this role, you will: - Define and drive protection strategy for a harm area or launch. Translate ambiguous risks into goals, priorities and roadmaps, and make trade-offs based on evidence, risk and available capacity. - Directly build and maintain harm detection. Develop production signals, classifiers and pipelines using SQL, Python, machine learning and language models, integrating with shared engineering platforms. - Lead cross-functional execution. Translate between specialist roles, establish shared understanding and ownership, resolve technical and organisational dependencies, and communicate recommendations and specific asks clearly. - Investigate emerging harms and abuse patterns. Work with world class domain experts to distinguish harmful activity from legitimate use, develop detection criteria, and inform policies and review protocols with Policy and Operations partners. - Evaluate and improve the complete system of defence. Measure remaining harm, detection quality and intervention effectiveness and collaborate with Data Science on more sophisticated metrics. Use expert feedback and operational outcomes to guide improvements. - Protect product and model launches. Define data, detection and review requirements; establish monitoring; investigate gaps and critical escalations; and drive improvements informed by post-launch findings. - Scale effective approaches with language models, agents and reusable tools. Choose where automation and human judgement are needed, and build documentation and processes that improve reliability and help others extend the work. You might thrive in this role if you: - Think in systems. You have enough breadth across technical, analytical, investigative and operational disciplines to understand how they fit together, recognise gaps and translate between specialist perspectives. - Bring deep expertise in at least one relevant harm domain, developed through integrity, trust and safety, security, investigations or related work. You approach unfamiliar problems with curiosity and respect for expert knowledge and you are driven by reducing harm. - Are proficient in SQL and Python and have experience writing reliable and efficient production code for detection and data processing. Additional ML or SWE experience is a plus. - Can apply quantitative analysis and machine-learning methods to measure risks and evaluate system effectiveness. You understand the limitations of your data and can reason about missed harms, false positives and appropriate interventions. Additional DS/measurement background is a plus. - Have experience setting strategy and delivering complex, cross-functional technical projects. You can turn an ambiguous problem into a plan, align people with different priorities and drive work through to completion. - Communicate clearly and concisely in writing and conversation. You can explain technical findings, make actionable recommendations and surface uncertainty and trade-offs to different audiences. - Can use language models and other automation to scale analytical, investigative or operational work, with evaluation and human oversight appropriate to the problem. 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 . 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 . 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 . OpenAI Global Applicant Privacy Policy 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.
Forward Deployed Engineer, Gov
About the team The OpenAI for Government team is a dynamic, mission-driven group leveraging frontier AI to transform how governments achieve their missions. Our team works to empower public servants with secure, compliant AI tools (e.g., ChatGPT Enterprise, ChatGPT Gov) and mission-aligned deployments that meet government technical requirements with strong reliability and safety. About the role Forward Deployed Engineers (FDEs) lead complex deployments of frontier models in production. You will embed with our most strategic government and public sector customers—where model performance matters, delivery is urgent, and ambiguity is the default. You’ll map their problems, structure delivery, and ship fast. This includes scoping, sequencing, and building full-stack solutions that create measurable value, while driving clarity across internal and external teams. You will work directly with defense, intelligence, and federal stakeholders as their technical thought partner, guiding adoption, maximizing mission impact, and ensuring successful deployments at scale. Along the way, you’ll identify reusable patterns, codify best practices, and share field signal that influences OpenAI’s roadmap. This role is based in Washington DC, Seattle or San Francisco. We use a hybrid work model of 3 days in the office per week. We offer relocation assistance. Travel up to 50% is required, including on-site work with customers. In this role you will - Own technical delivery across multiple government deployments, from first prototype to stable production. - Deeply embed with public sector customers to design and build novel applications powered by OpenAI models. - Enable successful deployments across customer environments by delivering observable systems spanning infrastructure through applications. - Prototype and build full-stack systems using Python, JavaScript, or comparable stacks that deliver real mission impact. - Proactively guide customers on maximizing business and operational value from their applications. - Forge and manage relationships with customer leadership and stakeholders, ensuring successful deployment and scale. - Scope work, sequence delivery, and remove blockers early—making trade-offs between scope, speed, and quality. - Contribute directly in the code when clarity or momentum depends on it. - Codify working patterns into tools, playbooks, or building blocks others can use. - Share field feedback with Research and Product to influence model and product development. - Keep teams moving through clarity, judgment, and consistent follow-through. You might thrive in this role if you - Bring 5+ years of engineering or technical deployment experience, ideally in customer-facing or government environments. - Active TS/SCI clearance or equivalent - Have scoped and delivered complex systems in fast-moving or ambiguous contexts. - Write and review production-grade code across frontend and backend, using Python, JavaScript, or similar stacks. - Are familiar with cloud deployment models (Azure, AWS), Kubernetes, Terraform, and related infrastructure. - Have experience building or deploying systems powered by LLMs or generative models, and understand how model behavior affects product experience. - Simplify complexity, make fast, sound decisions under pressure, and communicate clearly across technical and non-technical audiences. - Spot risks early, adjust without slowing down, and model calm judgment when stakes are high. - Are humble, collaborative, and eager to help others with empathy. - Operate with high horsepower, thrive in dynamic environments, and can ruthlessly prioritize across multiple 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 . 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 . 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 . OpenAI Global Applicant Privacy Policy 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.
Software Engineer, Cloud Infrastructure
About the Team The Applications Engineering team works across research, engineering, product, and design to bring OpenAI’s technology to consumers and businesses. You’ll join the team responsible for running the core infrastructure that supports products like ChatGPT and the API. The systems we support include our kubernetes clusters, infrastructure deployment, our networking stack, cloud abstractions, and more. 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 The cloud infrastructure team builds and maintains infrastructure abstractions allowing OpenAI to ship products quickly and scalably. In this role, you will: - Design and build the development and production platforms that power our products, enabling reliability and security at scale - Ensure our infrastructure can scale to the next order of magnitude - Help create a diverse, equitable, and inclusive culture that makes all feel welcome while enabling radical candor and the challenging of group think - Like all other teams, we are responsible for the reliability of the systems we build. This includes an on-call rotation to respond to critical incidents as needed. You might thrive in this role if you: - Have 5+ years building core infrastructure - Have experience operating orchestration systems such as Kubernetes at scale - Have experience building abstractions over cloud platforms - Take pride in building and operating scalable, reliable, secure systems - Are comfortable with ambiguity and rapid change 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 . 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 . 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 . OpenAI Global Applicant Privacy Policy 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.
Full Stack Software Engineer, Growth
About the Team The ChatGPT team works across research, engineering, product, and design to bring OpenAI’s technology to the world. We seek to learn from deployment and broadly distribute the benefits of AI, while ensuring that this powerful tool is used responsibly and safely. We aim to make our innovative tools globally accessible, transcending geographic, economic, or platform barriers. Our commitment is to facilitate the use of AI to enhance lives, fostered by rigorous insights into how people use our products. About the Role We are looking for an experienced fullstack engineer to join our new ChatGPT Growth team to spearhead high-impact projects that amplify the user base of ChatGPT and Plus Subscribers. Your role will include projects such as optimizing account access, notifications, SEO, fostering value discovery, and virality. As we are in the nascent stages of growth at OpenAI, we will rely on you to discover pivotal areas where strategic bets or incremental efforts can catalyze significant impact. We value engineers who are impact-driven, autonomous, adept at discerning crucial insights from experimental results, and have a strong intuition for how to remove barriers to unlocking the magic of ChatGPT. In this role, you will: - Drive long-term growth of ChatGPT through a combination of data analysis, product ideation, and experimentation to optimize product experiences. - Plan and deploy backend APIs necessary to power these product experiences. - Execute on projects by working closely with research, product, design, data science and other members of product teams to land impact on product goals. - Create a diverse and inclusive culture that makes all feel welcome while enabling radical candor and the challenging of group-think. You might thrive in this role if you: - Shipped features on web that optimize the user funnel, such as landing pages, product pages, purchase flows, search flows, etc. - Are highly analytical and have experience designing and implementing A/B tests, with a scientific approach to data-based experiments. You know exactly what and how to track business metrics and KPIs. - Have a voracious and intrinsic desire to learn and fill in missing skills. An equally strong talent for sharing that information clearly and concisely with others - Are comfortable with ambiguity and rapidly changing conditions. You view changes as an opportunity to add structure and order when necessary 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 . 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 . 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 . OpenAI Global Applicant Privacy Policy 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.
Software Engineer, ChatGPT Infrastructure
About the Team Our London-based team builds the backend systems that help ChatGPT scale reliably. We work on infrastructure close to the product, partnering with engineering teams to improve the performance, resilience, and operability of critical user-facing systems. Our work combines backend software engineering with distributed systems and production reliability. We build shared capabilities, improve high-traffic workflows, and make it easier to introduce new product functionality without compromising performance or availability. About the Role This role is for software engineers who want to build and evolve backend systems operating at significant scale. You’ll write production code, design shared infrastructure, and solve technical challenges involving performance, distributed systems, and system reliability. You’ll also own how those systems behave in production: how changes are rolled out, how issues are detected and diagnosed, and how recurring operational problems can be addressed through better software and system design. This is a strong fit for backend engineers who enjoy complex systems problems and want a direct connection between the infrastructure they build and the experience of ChatGPT users. In this role, you will: - Design, build, and maintain backend systems supporting high-traffic ChatGPT experiences. - Develop shared services, APIs, and infrastructure that help product teams build and launch new capabilities safely. - Improve the performance, scalability, and efficiency of production systems as usage and product complexity grow. - Build and improve systems for asynchronous processing and other large-scale backend workloads. - Lead architectural improvements and infrastructure migrations while maintaining correctness, compatibility, and safe rollout and rollback. - Strengthen monitoring, alerting, and diagnostics to detect problems early and reduce customer impact. - Participate in on-call, incident response, and root-cause analysis, and turn operational learnings into lasting engineering improvements. - Work across product and infrastructure teams to ensure new systems are reliable, secure, and production-ready. - Build automation and tooling that reduce repetitive operational work and improve engineering effectiveness. You might thrive in this role if you: - Have experience building and operating backend systems at scale. - Understand distributed systems concepts such as concurrency, consistency, asynchronous processing, and failure handling. - Enjoy writing production code while taking ownership of how systems behave in real-world conditions. - Can identify and address bottlenecks affecting latency, throughput, resource usage, or reliability. - Have experience introducing production changes safely through testing, staged rollouts, monitoring, and rollback plans. - Are comfortable investigating ambiguous technical problems and collaborating across teams to resolve them. - Care about clear interfaces, maintainable systems, and practical engineering tradeoffs. - Take ownership of projects from design and implementation through deployment and ongoing improvement. Qualifications - 4+ years of professional software engineering experience, including significant experience building backend or distributed systems. - Strong proficiency in at least one general-purpose programming language and experience writing reliable, maintainable production code. - Experience designing, building, or improving services, platforms, or shared infrastructure at scale. - Familiarity with production reliability practices, including monitoring, incident response, root-cause analysis, and operational readiness. - Experience diagnosing performance, scalability, or reliability issues in production environments. - Understanding of distributed systems, data storage, concurrency, asynchronous processing, or networking. - Familiarity with modern deployment, observability, and cloud infrastructure practices. - Ability to lead complex technical work and collaborate effectively across product and infrastructure teams. Experience with cloud infrastructure, containerized environments, or observability tools is useful but not required. We welcome candidates from backend engineering, distributed systems, platform engineering, and reliability backgrounds. 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 . 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 . 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 . OpenAI Global Applicant Privacy Policy 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.
Product Designer, AI Agents
About Assembled Great customer support requires human agents and AI in perfect balance, and Assembled is the only unified platform that orchestrates both at scale. Companies like Canva, Etsy, and Robinhood use Assembled to coordinate their entire support operation — in-house agents, BPOs, and AI — in a single operating system. With AI Agents that resolve cases end-to-end, AI Copilot for agent assistance, and AI-powered workforce management that optimizes both human and AI capacity, Assembled helps teams deliver faster, better service while making smarter decisions about how to staff and automate. Backed by $71M from NEA, Emergence Capital, and Stripe, we're building the platform that makes AI and human collaboration actually work. The role We're looking for a product designer to own the experience of our AI support products end to end: how support teams build, trust, and improve AI agents, and how those agents show up for the people who need help. You'll join a product that's already delivering value for customers and entering its next phase of growth. Over the past few years we've built a comprehensive AI support platform spanning chat, voice, monitoring, knowledge, and agent operations. The opportunity now isn't to invent a product from scratch—it's to help define what great AI-powered support looks like as the category rapidly evolves. You'll work directly with customers, engineers, and company leadership to shape both the near-term product and the long-term vision. The conventions for agent UX are still being written, and many of the most important questions around trust, transparency, control, and human-AI collaboration remain unsolved. You'll help answer them. This is an onsite role based in our San Francisco office, five days a week (Monday–Friday). What you'll own Design self-serve AI agent experiences that enable support and operations teams—not engineers—to configure, deploy, monitor, and improve AI agents. Shaping new product areas from concept to launch. You’ll clarify messy customer problems, explore solution directions, align the team, and ship experiences that customers use in production. Defining interaction patterns for AI-backed support. You’ll design durable primitives for building, observing, evaluating, and improving agents. Leading customer-centered discovery. You’ll spend time with support teams, understand how they actually operate, and translate that into product decisions the whole team can rally around. Prototyping quickly and concretely. You’ll use Figma and AI tools to explore ideas, test flows, and make abstract agent behavior feel tangible. Raising the craft bar. You’ll contribute to our design system, improve visual and interaction quality, and help make complex workflows feel clear and approachable. What excites us 3+ years designing and shipping production B2B software. You're drawn to complex domains and can distill messy input from many people into clean, useful primitives, trading off simplicity and flexibility well. You can turn ambiguity into shipped product. You’re comfortable starting with an unclear problem, finding the signal, framing the tradeoffs, and driving toward a high-quality launch. You’re strong at systems and interaction design. You can design reusable patterns, think in primitives, and balance simplicity with flexibility as a product grows. Customer-driven. You love talking to users, you keep projects anchored to real needs, and you help others stay anchored too. You’re a strong communicator. You communicate clearly in writing and conversation, and can bring customers, engineers, and teammates along with your thinking. You've designed products for non-technical operators and know how to make powerful systems approachable without sacrificing flexibility. Nice to have You get into the code. You've used coding agents to build, prototype, or ship product experiences yourself, and you're eager to take advantage of tools that let designers own more of the path from idea to reality. AI fluency in practice. You're already using AI tools (Cursor, Claude, and whatever comes next) in your design workflow and have an informed view of what AI can and can't do today. Prior experience designing AI, agent, or conversational products. You've worked on products that involve AI-driven workflows, agent experiences, or human-AI interaction, and have developed intuition for designing around trust, transparency, and control. Our U.S. benefits Generous medical, dental, and vision benefits Flexible time off Monthly credits for professional development, general wellness, Assembled customers, and commuting Paid parental leave Catered lunches every day (M–F) and fully stocked SF office 401(k) plan enrollment The estimated base salary range for this role is $130,000 - $180,000 per year. The base pay offered may vary depending on location, job-related knowledge, skills, and experience. Stock options are provided as part of the compensation package, in addition to a full range of medical, financial, and/or other benefits, dependent on the position offered. We know great candidates don’t always meet every requirement listed in a job description. If the role excites you and you believe you can make an impact at Assembled, we encourage you to apply. We value diverse perspectives and are committed to building an inclusive workplace where everyone feels like they belong and has the opportunity to do their best work. We look forward to hearing from you! For United States Applicants: Assembled participates in E-Verify and will provide the federal government with your Form I-9 information to confirm that you are authorized to work in the United States. For United Kingdom Applicants: Assembled is required to verify your right to work in the UK and will conduct a Right to Work check prior to employment in accordance with applicable law.
Electrical Engineer, Robotics
About the Team Our Robotics team is focused on unlocking general-purpose robotics and advancing toward AGI-level intelligence in dynamic, real-world environments. Working across the full model and systems 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 physical constraints of real-world systems to improve people’s lives. About the Role We're looking for an experienced Electrical Engineer to help develop the next generation of robotic systems at OpenAI. This role spans the full lifecycle of hardware development, from early concept exploration and prototyping through circuit design, component selection, PCB layout, bring-up, integration, and deployment. Engineers in this role are expected to independently drive significant hardware efforts from initial concept through deployment. You will translate ambiguous goals into concrete engineering plans, make key technical decisions, coordinate closely with cross-functional partners, and own execution through the iterations required to deliver a successful system. Many of the systems we build are still being defined. You will work closely with mechanical, firmware, software, controls, and research teams to evaluate new ideas, develop novel hardware, and integrate it into robotic platforms. Success in this role requires strong engineering judgment, comfort operating in ambiguous spaces, and the ability to balance rapid experimentation with the discipline required to build reliable and scalable systems. The ideal candidate enjoys building things from first principles and is equally comfortable evaluating a new technology, debugging a prototype on the bench, reviewing PCB layout details, and driving system integration efforts. You should be able to move quickly when appropriate, but also know when investing in robustness, simplicity, or infrastructure will create leverage for future development. This role is based in San Francisco, CA, and requires in-person presence 4 days a week. In this role, you will: - Own significant portions of the electrical architecture for compact, highly integrated robotic and electromechanical systems, including sensing, communication, power distribution, and actuator interfaces. - Design and implement compact electronics spanning circuit design, component selection, PCB layout, bring-up, validation, and deployment. - Build and validate hardware in integrated robotic systems, driving issues from first observation through root cause and design resolution. - Partner closely with mechanical, firmware, software, controls, manufacturing, and research teams to deliver coherent system-level solutions. - Make thoughtful engineering tradeoffs across performance, size, power, reliability, manufacturability, and iteration speed. You might thrive in this role if you: - Have 6+ years of experience developing electrical systems for robotics, consumer electronics, medical devices, wearables, cameras, or other tightly integrated electromechanical products. - Have personally owned hardware from concept through PCB layout, bring-up, validation, and deployment. - Enjoy designing compact, high-density electronics that must fit within severe mechanical constraints. - Have experience with technologies such as BGAs, rigid-flex assemblies, fine-pitch interconnects, micro-coax, FPCs, dense connector systems, or similar packaging approaches. - Can reason across electrical, firmware, and mechanical boundaries when making design decisions. - Are comfortable taking ownership of loosely defined problems and turning them into working systems with limited direction. - Have partnered closely with cross-functional teams to translate product goals into practical hardware systems. - Enjoy building and validating integrated prototypes where mechanical, electrical, firmware, and sensing systems are developed together. - Enjoy collaborating closely with and supporting the growth of other engineers on the team. Additional, preferred qualifications: - Experience with GMSL, MIPI/CSI, FPD-Link, or other high-speed camera interfaces. - Experience with multi-board robotic or electromechanical systems that include distributed sensing, actuation, and real-time communication. - Experience bringing hardware through EVT/DVT-style builds, low-volume production, or contract-manufacturer-supported builds. - Familiarity with writing bring-up, test, or diagnostic firmware in C, C++, Rust, or 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 . 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 . 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 . OpenAI Global Applicant Privacy Policy 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.
Strategic Sourcing Manager, Data Center Infrastruc...
About the Team OpenAI's Industrial Compute organization is building the world's most advanced AI infrastructure ecosystem. Working alongside leading cloud providers, engineering firms, construction partners, utilities, and equipment manufacturers, we are delivering hyperscale AI campuses that enable the next generation of frontier AI models. The Strategic Sourcing team develops and executes the commercial strategies that ensure our infrastructure programs have reliable access to the equipment, materials, and strategic partners needed to deliver at unprecedented scale. We partner closely with Infrastructure Delivery, Capacity Planning, Design Engineering, Hardware Operations, Finance, Legal, and our external suppliers to build a resilient global supply network capable of supporting Industrial Compute's long-term growth. As we continue expanding globally, strategic sourcing becomes a critical competitive advantage, ensuring our infrastructure programs remain cost-effective, resilient, and capable of executing against aggressive deployment timelines. About the Role We are seeking a Strategic Sourcing Manager, Data Center Infrastructure to lead sourcing strategy for the critical infrastructure systems that power Industrial Compute campuses. This role will develop commercial strategies, negotiate strategic supplier agreements, and manage relationships across engineering, construction, manufacturing, and infrastructure partners responsible for delivering mission-critical facilities. You will work closely with Infrastructure Delivery, Capacity Planning, Engineering, Finance, Construction, and external suppliers to ensure Industrial Compute has the capacity, supplier relationships, and commercial frameworks required to support rapid global expansion. The ideal candidate has experience sourcing major infrastructure systems for hyperscale data centers, mission-critical facilities, industrial construction, semiconductor manufacturing, energy infrastructure, or similarly complex capital projects. Key Responsibilities - Develop long-term sourcing strategies for data center infrastructure systems supporting Industrial Compute. - Lead strategic supplier selection, RFx processes, commercial negotiations, and contract execution for major infrastructure programs. - Build and maintain executive relationships with key suppliers, manufacturers, EPC firms, integrators, and infrastructure vendors. - Partner with Infrastructure Delivery and Engineering to align sourcing strategies with project schedules, technical requirements, and deployment priorities. - Collaborate with Capacity Planning to ensure supplier capacity aligns with long-term infrastructure roadmaps. - Evaluate supplier capabilities across manufacturing capacity, execution quality, financial health, delivery performance, and operational maturity. - Identify and mitigate supply chain risks through supplier diversification, long-term agreements, alternative sourcing strategies, and capacity reservations. - Monitor global market conditions, manufacturing trends, commodity impacts, geopolitical risks, and supplier ecosystems that may affect infrastructure delivery. - Develop supplier scorecards and performance metrics across quality, cost, schedule, responsiveness, safety, and execution. - Support executive sourcing decisions through financial analysis, market intelligence, scenario planning, and supplier benchmarking. - Partner with Legal and Finance to structure scalable commercial agreements that support Industrial Compute's long-term infrastructure strategy. Qualifications - Bachelor's degree in Supply Chain, Engineering, Construction Management, Business, Operations, Finance, or a related field. - 8+ years of experience in strategic sourcing, procurement, supplier management, or infrastructure supply chain management. - Experience sourcing major infrastructure systems, industrial equipment, mission-critical facilities, or large capital projects. - Proven experience negotiating complex commercial agreements with strategic suppliers. - Strong understanding of supplier qualification, contract strategy, supplier performance management, and sourcing governance. - Experience partnering with engineering, construction, finance, legal, and operations organizations. - Excellent analytical, financial modeling, negotiation, and executive communication skills. Preferred Skills Experience sourcing one or more of the following infrastructure systems: - Prefabricated electrical skids and e-houses - Modular data center infrastructure - Modular cooling plants and their components (Heat exchangers, pumps, chillers, VFD) - Experience working with different forms of cooling (air and water cooled chillers, dry or adiabatic coolers, CRAH, CRAC, Air Handling Units) - Structural steel, enclosure systems and fabrication processes - Steel, stainless steel piping and components (valves, control valves, flanges) Additionally, we'd value: - Experience supporting hyper-scale cloud, AI infrastructure, semiconductor, energy, or advanced manufacturing programs. - Familiarity with long-lead equipment planning and supplier capacity management. - Experience working with global supplier networks across North America, Europe, and Asia. - Experience working with EPC, design-build, or integrated project delivery partners 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 . 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 . 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 . OpenAI Global Applicant Privacy Policy 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.
Software Engineer, Quality & Developer Tools | Con...
About the Team The Systems Integration team is responsible for building the infrastructure, tooling, and validation systems that ensure our device software is reliable, testable, and ready to ship. We design and maintain automated test frameworks, hardware-in-the-loop labs, and release pipelines that keep quality signals trustworthy and enable rapid, safe product launches. Our work spans developer tools, automation, systems integration, and cross-team collaboration to ensure every release meets the highest standards. About the Role As a Software Engineer, Quality and Developer Tools , you will build and own the systems that validate our device software—from test frameworks and regression infrastructure to hardware-in-the-loop labs and release gates. You’ll design the tooling and automation that keep quality signals trustworthy, integrate them into CI/CD, and make it easy for engineers and QA vendor technicians to execute reliable, repeatable workflows. We’re looking for engineers with deep experience in software quality, automation, developer tooling, and hardware-software integration who thrive on building scalable, reliable systems for validation and release readiness. 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: - Test infrastructure & frameworks: Design, implement, and maintain a unified test framework for device software across unit, integration, system, and end-to-end testing, with reproducible runs and integrations with GitHub, Linear, and Slack. - CI/CD integration & releases: Integrate test suites with Buildkite, enforce promotion criteria for staging and production, auto-file regressions, and publish traceable artifacts and release notes. - Hardware-in-the-loop lab design & orchestration: Plan and bring up racks, power and networking systems, and orchestration for device testing; support automated flashing, provisioning, and telemetry capture. - Automation and developer tooling: Develop tools for API and firmware validation, result triage, log capture, replayable bug reports, and workflows that improve engineering velocity and debugging efficiency. - Quality signals, metrics, and flake control: Build dashboards and alerts for pass rates, stability, and release readiness; detect and quarantine flaky tests; drive root-cause analysis with owners; and track delivery metrics that protect release health. - Vendor enablement: Create clear procedures and tooling that allow QA vendor technicians to execute repeatable processes, review their reports, and maintain a queue of rig maintenance and repairs. - Cross-team collaboration: Partner with embedded and systems software teams on testability, and with release infrastructure engineers on pipelines, signing, staged rollouts, and rollback/forward strategies. You might thrive in this role if you: - Have deep experience building software quality, test automation, or developer tooling systems for hardware products shipped at scale. - Are proficient in Python, C, C++, or Rust, and have strong Linux fundamentals, including processes, networking, storage, and udev/systemd. - Have experience building CI/CD pipelines, artifact management systems, and reproducible or isolated test environments. - Have demonstrated success designing and operating hardware-in-the-loop labs and device orchestration systems at scale. - Are fluent with test reliability techniques such as failure triage, flake detection and quarantine, and signal-quality guardrails. - Have strong debugging skills across software, firmware, devices, and release infrastructure. - Work well across teams and enjoy improving the systems that make engineering and release processes more scalable and reliable. 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 . 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 . 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 . OpenAI Global Applicant Privacy Policy 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.
Partner AI Deployment Engineer
About the team The Partner Applied AI Engineer team ensures the safe and effective deployment of Generative AI applications for developers and enterprises. We act as trusted advisors and technical partners to our customers, helping them build and execute their AI adoption strategy post-sale. Our mission is to develop a strong backlog of GenAI use cases tailored to each customer’s industry and to drive these initiatives from prototype to production through hands-on technical guidance and partnership. As a Partner Applied AI Engineer, you’ll support systems integrators and their most strategic customers transform their business through solutions such as customer service, automated content generation, and novel applications that make use of our newest, most exciting models. About the role We are looking for a driven solutions leader with a product mindset as one og the the founding Partner AIE to own the technical engagement with our systems integrators (including GSIs, RSIs, and boutique SIs) and ensure their customers achieve tangible business value with GenAI. You will help partners identify high-value use cases and provide technical enablement through the implementation of AI solutions. Your efforts will accelerate partners’ time to unlock distribution and adoption, ensuring they deliver exceptional results for our joint customers while maintaining high-quality standards. You will collaborate closely with Sales, Solutions Engineering, Applied Research, and Product teams, and you will report to the Head of Solutions Architecture. This role is based in San Francisco, CA or New York, 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: - Deeply embed with GSIs, RSIs, and boutique SIs as the technical lead, serving as their technical thought partner to ideate and build novel applications on our API for their customers. - Work with senior SI and customer stakeholders to identify the best applications of GenAI in their industry and to build/qualify a comprehensive backlog to support their AI roadmap. - Intervene directly to accelerate customer time to value through building hands-on prototypes and/or by delivering impactful strategic guidance. - Forge and manage relationships with SI and customer stakeholders to ensure the successful deployment and scale of their applications. - Codify solution packages and architectural patterns to accelerate time to deployment for customers and partners. - Lead technical support during partners' initial projects to ensure successful implementations and mentor their technical teams towards self-sufficiency in delivering OpenAI-powered solutions. - Scale the Partner Solutions Architect function by sharing knowledge, codifying best practices, contributing resources to our open-source repositories, and publishing resources to internal and external knowledge bases. - Validate, synthesize, and deliver high-signal feedback to the Product and Research teams. You’ll thrive in this role if you: - Have 8+ years of technical consulting (or equivalent) experience, managing C-level technical and business relationships with complex global organizations. - Have led complex technical projects and programs with many stakeholders, ideally within or through an SI. - Have industry experience in programming languages like Python or Javascript. - Have led complex implementations of Generative AI and/or traditional ML solutions. - Have built and/or delivered prototypes using the OpenAI API. - Are an effective presenter and communicator who can translate business and technical topics to all audiences, including senior leaders. - Own problems end-to-end and are willing to pick up whatever knowledge you're missing to get the job done. - Have a humble attitude, an eagerness to help your colleagues, and a desire to do whatever it takes to make the team succeed. 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 . 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 . 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 . OpenAI Global Applicant Privacy Policy 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.
Full Stack Engineer, Intelligence Systems
About the Team The Intelligence & Investigations team helps OpenAI understand and respond to the risks that can accompany increasingly capable AI. Our work has two central responsibilities: investigating potential high-severity misuse or harm involving our models, and monitoring and characterizing risks to OpenAI, our users, and the broader world. We bring together analysts, investigators, engineers, and other subject matter experts to turn complex signals into a clearer picture of what matters and support informed action. About the Role As an engineer on Intelligence & Investigations Engineering, you will build the systems that support both sides of this mission: giving OpenAI’s leadership superhuman situational awareness of important risks and developments, and accelerating expert investigators and analysts as they assess potential high-severity misuse or harm. You will design, prototype, ship, and maintain end-to-end products that use OpenAI’s models and infrastructure to make sense of large, complex information environments. These systems will surface meaningful signals, synthesize important developments, and help people make well-informed decisions when the stakes are high. You will work directly with analysts, investigators, and other subject matter experts to understand their needs and build products that make their work faster, more effective, and more scalable. Your engineering work will be central to how the team investigates potential misuse, develops situational awareness, and informs decisions. We’re looking for engineers who combine strong technical and analytical skills with product judgment and the ability to move between rapid prototyping and reliable production systems. You should be comfortable working with ambiguous problems, complex data, and evolving AI capabilities—and excited to build tools that expand what human experts can understand and accomplish. 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 intelligence systems that monitor and characterize emerging risks, synthesize internal and external signals, and give OpenAI leadership a timely, decision-ready view of what matters - Develop investigative tools that help analysts, investigators, and subject matter experts assess potential high-severity misuse or harm with greater speed, depth, and consistency - Own technical solutions end to end, from identifying user needs and prototyping new capabilities to deploying, maintaining, and improving production systems - Apply OpenAI’s models to research and investigative workflows, including lead generation, triage, synthesis, and analysis across large, complex datasets - Design effective interfaces and workflows that help expert users explore evidence, follow leads, and make well-informed decisions - Shape the team’s technical and product direction as model capabilities, risk landscapes, and investigative needs evolve - Collaborate closely with analysts and investigators, as well as partners across Applied, Safety Systems, Research, User Operations, and Strategy You might thrive in this role if you have / are: - 4+ years of experience as a software engineer - Experience designing, building, and operating production software, ideally for intelligence, investigations, security, research, or other complex analytical workflows. - A track record of owning products or systems end to end and translating ambiguous, high-stakes problems into useful tools. - Strong programming and data skills, including experience working with Python, SQL, and large or unstructured datasets. - Sound product and technical judgment, with the ability to partner closely with expert users and work effectively across functions. - Excitement about using increasingly capable AI systems to expand human situational awareness and accelerate expert investigation. 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 . 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 . 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 . OpenAI Global Applicant Privacy Policy 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.
Research Engineer, Codex
About the Team The Codex Research 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 member of the Codex Research team, you will improve the capabilities, reliability, and product fit of OpenAI's agentic models. You might own a research direction, build the infrastructure that makes large training runs faster and more trustworthy, create evals that reveal where models fail, or drive a capability from an idea through experimentation, integration, and launch. This role is intentionally broad. The strongest candidates are not defined by one method or subfield; they are people who can take an ambiguous capability problem and make progress across research, engineering, data, evals, and product. You should be excited to work on models that act in the world: writing and debugging code, using tools, calling functions, operating computers, collaborating with other agents, and completing valuable work on behalf of users. 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: - Design and run experiments that improve agentic model behavior across coding, tool use, function calling, computer use, multi-agent collaboration, long-horizon tasks, factuality, instruction following, and calibrated reasoning. - Own end-to-end improvements to the post-training stack, including RL, data pipelines, graders, reward signals, evals, diagnostics, and model-behavior analysis. - Build evals and environments that expose the next set of model failures, then turn those failures into training data, product fixes, or new research directions. - Partner with Codex, API/platform, ChatGPT, and general-agent product teams to understand what users need and translate product signal into model improvements. - Work on early-training and alignment interventions, including data mixtures, objectives, synthetic data, and eval loops that shape downstream agent behavior. - Help decide which integrations, capabilities, and fixes are ready for inclusion in major model runs. - Improve the machinery for large-scale training and launch: experiment velocity, reliability, observability, reproducibility, cost, latency, and production readiness. - Take on cross-functional projects that touch model training, product infrastructure, and the production agent harness, such as multi-agent systems or training directly against production-like environments. - Debug hard failures in shipped or near-shipped models and turn messy qualitative behavior into concrete hypotheses, experiments, and fixes. 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. 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 . 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 . 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 . OpenAI Global Applicant Privacy Policy 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.
Research Engineer, Privacy
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 As a part of the Privacy Engineering Team, you will work on the frontlines of safeguarding user data while ensuring the usability and efficiency of our AI systems. You will help us understand and implement the latest research in privacy-enhancing technologies such as differential privacy, federated learning, and data memorization. Moreover, you will focus on investigating the interaction between privacy and machine learning, developing innovative techniques to improve data anonymization, and preventing model inversion and membership inference attacks. This position is located in San Francisco. Relocation assistance is available. In this role, you will: - Design and prototype privacy-preserving machine-learning algorithms (e.g., differential privacy, secure aggregation, federated learning) that can be deployed at OpenAI scale. - Measure and strengthen model robustness against privacy attacks such as membership inference, model inversion, and data memorization leaks—balancing utility with provable guarantees. - Develop internal libraries, evaluation suites, and documentation that make cutting-edge privacy techniques accessible to engineering and research teams. - Lead deep-dive investigations into the privacy–performance trade-offs of large models, publishing insights that inform model-training and product-safety decisions. - Define and codify privacy standards, threat models, and audit procedures that guide the entire ML lifecycle—from dataset curation to post-deployment monitoring. - Collaborate across Security, Policy, Product, and Legal to translate evolving regulatory requirements into practical technical safeguards and tooling. You might thrive in this role if you: - Have hands-on research or production experience with PETs. - Are fluent in modern deep-learning stacks (PyTorch/JAX) and comfortable turning cutting-edge papers into reliable, well-tested code. - Enjoy stress-testing models—probing them for private data leakage—and can explain complex attack vectors to non-experts with clarity. - Have a track record of publishing (or implementing) novel privacy or security work and relish bridging the gap between academia and real-world systems. - Thrive in fast-moving, cross-disciplinary environments where you alternate between open-ended research and shipping production features under tight deadlines. - Communicate crisply, document rigorously, and care deeply about building AI systems that respect user privacy while pushing the frontiers of capability. 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 . 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 . 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 . OpenAI Global Applicant Privacy Policy 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.
IT Solutions Engineer
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. 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 . 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 . 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 . OpenAI Global Applicant Privacy Policy 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.
Software Engineer, Cloud Infrastructure
About the Team The Applied Engineering team works across research, engineering, product, and design to bring OpenAI’s technology to consumers and businesses. You’ll join the team responsible for running the core infrastructure that supports products like ChatGPT and the API. The systems we support include our kubernetes clusters, infrastructure deployment, our networking stack, cloud abstractions, and more. 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 The cloud infrastructure team builds and maintains infrastructure abstractions allowing OpenAI to ship products quickly and scalably. This role is based in San Francisco, CA. In this role, you will: - Design and build the development and production platforms that power our products, enabling reliability and security at scale - Ensure our infrastructure can scale to the next order of magnitude - Help create a diverse, equitable, and inclusive culture that makes all feel welcome while enabling radical candor and the challenging of group think - Like all other teams, we are responsible for the reliability of the systems we build. This includes an on-call rotation to respond to critical incidents as needed. You might thrive in this role if you: - Have 5+ years building core infrastructure - Have experience operating orchestration systems such as Kubernetes at scale - Have experience building abstractions over cloud platforms - Take pride in building and operating scalable, reliable, secure systems - Are comfortable with ambiguity and rapid change This role is exclusively based in our San Francisco HQ. We offer relocation assistance to new employees. 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 . 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 . 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 . OpenAI Global Applicant Privacy Policy 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.
RE/RS, Data Understanding (MM)
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 . 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 . 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 . OpenAI Global Applicant Privacy Policy 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.
Data Scientist, Infrastructure
About the Team Our infrastructure team helps deliver OpenAI’s most capable models and products to the world by scaling infrastructure and turning demand into useful FLOPS. We collaborate across research, engineering, design, and business to turn cutting-edge AI advancements into impactful, real-world applications. Our team ensures the right compute is available—at the right time and place—to support some of the world’s most demanding workloads. We empower all of OpenAI’s products and research by scaling the infrastructure behind them. Our work makes it possible to launch new models and products reliably and at scale. About the Role As a Data Scientist on the Infra team, you will play a key role in shaping how we scale the infrastructure that powers OpenAI’s products and research. This is critical as we operate one of the largest and most advanced compute fleets in the world, supporting millions of users and businesses globally. We focus on aligning infrastructure measurement, planning, scaling, allocation, and efficiency to drive measurable impact across the company. You should expect to guide the definition of foundational datasets for infrastructure resources, develop metrics that inform key decisions, build forecasting and optimization models, and establish source of truth dashboards and analyses that enable teams to understand and improve infra usage. Most importantly, you should expect to be a core partner to engineering, research, and product teams in shaping the infrastructure that powers everything OpenAI builds. 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 and maintain foundational datasets and metrics that reflect infrastructure usage, efficiency, and scaling. - Develop forecasting and optimization models to support infra planning and resource allocation. - Partner with engineering, research, and product teams to shape infrastructure strategy through data. - Drive clarity with source-of-truth dashboards and analyses that guide infra decisions across OpenAI. You might thrive in this role if you have: - 5+ years of experience in a quantitative role navigating ambiguous environments, ideally in infrastructure, systems, or platform domains at a high-growth company or research org - Experience defining and operationalizing metrics that reflect system performance, resource usage, or efficiency from the ground up - A strong foundation in SQL and Python, and a track record of building models and analyses that drive technical and strategic decisions - Excellent communication skills and the ability to partner effectively with engineers, researchers, and product stakeholders - A strategic mindset that goes beyond statistical testing to surface actionable insights and long-term tradeoffs You could be an especially great fit if you have: - Proven track record of operating as a data partner in large scale backend systems - Comfortable navigating fast-paced execution while also anchoring decisions in long-term impact - Strong programming background, with ability to run simulations and prototype variants - Experience in NLP, large language models, or generative 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 . 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 . 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 . OpenAI Global Applicant Privacy Policy 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.
Software Engineer, Caching Infrastructure
About the Team At OpenAI, we’re building safe and beneficial artificial general intelligence. We deploy our models through ChatGPT, our APIs, and other cutting-edge products. Behind the scenes, making these systems fast, reliable, and cost-efficient requires world-class infrastructure. The Caching Infrastructure team is responsible for building a caching layer that powers many critical use cases at OpenAI. We aim to provide a high-availability, multi-tenant cache platform that scales automatically with workload, minimizes tail latency, and supports a diverse range of use cases. We’re looking for an experienced engineer to help design and scale this critical infrastructure. The ideal candidate has deep experience in distributed caching systems (e.g., Redis, Memcached), networking fundamentals, and Kubernetes-based service orchestration. In This Role, You Will: - Design, build, and operate OpenAI’s multi-tenant caching platform used across inference, identity, quota, and product experiences. - Define the long-term vision and roadmap for caching as a core infra capability, balancing performance, durability, and cost. - Collaborate with other infra teams (e.g., networking, observability, databases) and product teams to ensure our caching platform meets their needs. You Might Thrive In This Role If You: - Have 5+ years of experience building and scaling distributed systems, with a strong focus on caching, load balancing, or storage systems. - Have deep expertise with Redis, Memcached, or similar solutions, including clustering, durability configurations, client-side connection patterns, and performance tuning. - Have production experience with Kubernetes, service meshes (e.g., Envoy), and autoscaling systems. - Think rigorously about latency, reliability, throughput, and cost in designing platform capabilities. - Thrive in a fast-paced environment and enjoy balancing pragmatic engineering with long-term technical excellence. 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 . 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 . 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 . OpenAI Global Applicant Privacy Policy 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.
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