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Senior Solutions Engineer
Crusoe is on a mission to accelerate the abundance of energy and intelligence. As the only vertically integrated AI infrastructure company built from the ground up, we own and operate each layer of the stack — from electrons to tokens — to power the world's most ambitious AI workloads. When you join Crusoe, you join a team that is building the future, faster. We're in the midst of the greatest industrial revolution of our time. The demand for AI compute is boundless, and power is a bottleneck. We're solving that — with an energy-first approach that makes AI infrastructure better for the world and faster for the people innovating with AI. We're looking for problem-solving, opportunity-finding teammates with a sense of urgency, who believe in the scale of our ambition and thrive on a path not fully paved — people who want to grow their careers alongside a team of experts across energy, manufacturing, data center construction, and cloud services. If you want to do the most meaningful work of your career, help our customers and partners advance their AI strategies, and be part of a high-performing team that believes in each other, come build with us at Crusoe. About the Role: Crusoe Cloud is seeking a Solutions Engineer (early-to-mid career through senior level) to help enterprise customers deploy AI/ML workloads on Crusoe's high-performance GPU infrastructure. Based in our New York City office, you'll work alongside Account Executives and senior Solutions Engineers to run technical discovery, deliver demos and proofs of concept, and ensure customers land successfully on the platform. This is a hands-on role where you'll build environments, troubleshoot workloads, and grow toward owning the technical win end-to-end. This role is based full-time (Monday through Friday) in our New York City office. What You'll Be Working On: - Deliver technical demos and stand up PoC environments for customers evaluating Crusoe Cloud, with clearly defined success criteria and timely execution - Support technical discovery alongside Account Executives, including mapping stakeholders, gathering requirements, and handling technical objections - Deploy and troubleshoot containerized AI/ML workloads on Kubernetes-based stacks, optimizing for performance and cost - Help customers adapt workloads from AWS, GCP, or Azure to Crusoe infrastructure, explaining tradeoffs along the way - Document product gaps and bugs from the field with the detail Engineering needs to reproduce them, and channel structured customer feedback to Product - Ensure clean post-sale handoffs by building transition docs and instance summaries so customer success teams start from a stable Day 1 What You'll Bring to the Team: - 2+ years of hands-on experience building, deploying, or operating cloud infrastructure, with exposure to AI/ML, HPC, or GPU workloads - Hands-on proficiency with at least one major cloud provider (AWS, GCP, or Azure), deploying and managing infrastructure rather than just consuming it - Experience deploying containerized workloads with Kubernetes or Docker - Strong Linux command-line skills and scripting ability in Python or Bash - Networking fundamentals: VPCs, subnets, load balancers, DNS, routing - Clear technical communication, comfortable presenting demos and writing documentation customers actually use - Customer-facing instincts: curiosity about business problems, composure under questions, and a bias toward follow-through Bonus Points - Experience with distributed training or inference frameworks (PyTorch, Ray, Kubeflow) - Infrastructure-as-Code experience (Terraform, Ansible, CloudFormation) - GPU cluster, InfiniBand/RoCE, or Slurm exposure - Monitoring and observability tooling (Prometheus, Grafana, Datadog, CloudWatch) - Public technical content such as talks, blog posts, or how-to guides Benefits: - Competitive compensation and equity packages - Restricted Stock Units - Paid time off, paid holidays & leave of absence programs - Comprehensive health, dental & vision insurance - Employer contributions to HSA account - Paid parental leave - Paid life insurance, short-term and long-term disability - Professional development & tuition reimbursement - Mental health & wellness support - Commuter benefits (parking & transit) - Cell phone stipend - 401(k) Retirement plan with company match up to 4% of salary - Volunteer time off - Global travel insurance & emergency assistance - Daily meals allowance - Additional perks & programs specific to location Compensation Range Compensation will be paid in the range of up to $155,000 - $200,000 + Bonus. Restricted Stock Units are included in all offers. Compensation to be determined by the applicant's knowledge, education, and abilities, as well as internal equity and alignment with market data. Crusoe is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, disability, genetic information, pregnancy, citizenship, marital status, sex/gender, sexual preference/ orientation, gender identity, age, veteran status, national origin, or any other status protected by law or regulation.
Senior Sales Director
Crusoe is on a mission to accelerate the abundance of energy and intelligence. As the only vertically integrated AI infrastructure company built from the ground up, we own and operate each layer of the stack — from electrons to tokens — to power the world's most ambitious AI workloads. When you join Crusoe, you join a team that is building the future, faster. We're in the midst of the greatest industrial revolution of our time. The demand for AI compute is boundless, and power is a bottleneck. We're solving that — with an energy-first approach that makes AI infrastructure better for the world and faster for the people innovating with AI. We're looking for problem-solving, opportunity-finding teammates with a sense of urgency, who believe in the scale of our ambition and thrive on a path not fully paved — people who want to grow their careers alongside a team of experts across energy, manufacturing, data center construction, and cloud services. If you want to do the most meaningful work of your career, help our customers and partners advance their AI strategies, and be part of a high-performing team that believes in each other, come build with us at Crusoe. About the Role: Crusoe.ai http://Crusoe.ai is seeking a Senior Sales Director to drive revenue growth across high-impact AI segments, including foundation model companies, enterprise AI teams, robotics, and other GPU-intensive workloads. This role owns the strategy and execution required to land and expand Crusoe Cloud with the world’s most sophisticated AI customers. You will lead complex, high-value sales cycles and help define how Crusoe competes and wins in the AI infrastructure market. Crusoe is a vertically integrated AI infrastructure company, combining low-cost energy, large-scale data centers, and high-performance GPU cloud. As Senior Sales Director, you will translate this advantage into repeatable, enterprise-grade revenue while shaping Crusoe’s go-to-market motion as we scale. What You'll Be Working On: - Own Strategic Revenue: Lead multi-million-dollar sales opportunities across AI-native startups and enterprise AI organizations. - Run Complex Sales Cycles: Navigate technical, financial, and executive stakeholders to close long-term infrastructure deals. - Build Executive Relationships: Partner with CTOs, AI leaders, and founders to support their training and inference roadmaps. - Shape GTM Strategy: Provide market feedback on pricing, packaging, and product direction to inform Crusoe’s growth strategy. - Partner Cross-Functionally: Work closely with Solutions Engineering, Product, and Cloud teams to deliver scalable AI infrastructure solutions. - Drive Forecast Accuracy: Build and manage a disciplined pipeline with strong deal execution and forecasting rigor. What You'll Bring to the Team: - Proven Global Sales Leadership: Successfully built and led high-performing, geographically distributed teams of Account Executives, with a consistent history of over-attaining quota. - Enterprise & Strategic Selling: Deep experience closing large, complex deals involving multiple stakeholders, long sales cycles, and significant contract values. - Experience Selling Technical Products: Background selling technical, platform, or developer-adjacent products to sophisticated buyers, with the ability to engage both business and technical audiences. - Operational Excellence: Track record of running a disciplined sales organization with strong pipeline management, forecasting accuracy, and deal execution. - Builder Mindset: Experience scaling sales teams and go-to-market motions in high-growth environments, balancing structure with speed. - Executive Presence: Ability to influence and build trust with C-suite, VPs, and founders as a strategic commercial partner. - Cross-Functional Leadership: Proven ability to work closely with Product, Marketing, and Engineering to drive customer-led growth and continuous improvement. - Location: San Francisco - Work hybrid, in-office 3+ days a week with your team from our beautiful office at 225 Bush Street with paid lunches and a fun, energetic, in office environment. Benefits: - Competitive compensation and equity packages - Restricted Stock Units - Paid time off, paid holidays & leave of absence programs - Comprehensive health, dental & vision insurance - Employer contributions to HSA account - Paid parental leave - Paid life insurance, short-term and long-term disability - Professional development & tuition reimbursement - Mental health & wellness support - Commuter benefits (parking & transit) - Cell phone stipend - 401(k) Retirement plan with company match up to 4% of salary - Volunteer time off - Global travel insurance & emergency assistance - Daily meals allowance - Additional perks & programs specific to location Compensation Range Compensation will be paid in the range of up to $420,000 - $500,000 OTE. Restricted Stock Units are included in all offers. Compensation to be determined by the applicants knowledge, education, and abilities, as well as internal equity and alignment with market data. Crusoe is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, disability, genetic information, pregnancy, citizenship, marital status, sex/gender, sexual preference/ orientation, gender identity, age, veteran status, national origin, or any other status protected by law or regulation.
Senior Product Manager, Orchestration
Crusoe is on a mission to accelerate the abundance of energy and intelligence. As the only vertically integrated AI infrastructure company built from the ground up, we own and operate each layer of the stack — from electrons to tokens — to power the world's most ambitious AI workloads. When you join Crusoe, you join a team that is building the future, faster. We're in the midst of the greatest industrial revolution of our time. The demand for AI compute is boundless, and power is a bottleneck. We're solving that — with an energy-first approach that makes AI infrastructure better for the world and faster for the people innovating with AI. We're looking for problem-solving, opportunity-finding teammates with a sense of urgency, who believe in the scale of our ambition and thrive on a path not fully paved — people who want to grow their careers alongside a team of experts across energy, manufacturing, data center construction, and cloud services. If you want to do the most meaningful work of your career, help our customers and partners advance their AI strategies, and be part of a high-performing team that believes in each other, come build with us at Crusoe. ABOUT THE ROLE As a Senior Product Manager for Orchestration, you will own major product areas within Crusoe’s Managed Orchestration portfolio. Your scope will include Kubernetes cluster lifecycle, control-plane capabilities, node pools and node health, managed add-ons, workload scheduling, Slurm on Kubernetes, or the APIs and interfaces customers use to operate large-scale AI infrastructure. You will have meaningful end-to-end ownership of the areas within your scope, from problem definition and product design through launch, validation, adoption, and continued improvement. This is a deeply technical and hands-on product role. You will work closely with engineering to turn complex and ambiguous infrastructure problems into clear, durable product designs. You will define detailed behavior, examine edge cases and failure modes, make thoughtful product trade-offs, and ensure that what we ship works well for customers in practice, not only in a design document. Success in this role means raising the quality of both the product and the decisions behind it. You will combine technical depth, customer understanding, strong product judgment, and disciplined execution to build orchestration capabilities that customers can depend on for their most demanding AI workloads. What You'll Be Working On: - Own Major Orchestration Product Areas: Take end-to-end ownership of substantial product surfaces, including their roadmap, outcomes, priorities, quality, and continued improvement. - Develop Durable Technical Product Designs: Turn complex infrastructure problems into clear requirements and coherent system behavior, including APIs, lifecycle states, failure handling, upgrades, and customer controls. - Partner Closely With Engineering: Work directly with engineers throughout discovery, design, implementation, and validation to resolve ambiguity and shape high-quality solutions. - Establish a High Product-Quality Bar: Pressure-test designs, evaluate working software, examine edge cases and failure modes, and ensure the product is ready before broad customer release. - Understand Customers and Operators: Work with customers and internal teams to identify underlying problems and translate them into broadly useful, technically sound product improvements. - Make Disciplined Product Investments: Prioritize work based on customer value, reliability, differentiation, engineering cost, and operational burden, then measure whether those investments delivered the intended results. - Coordinate Across the Cloud Platform: Establish clear interfaces and responsibilities across infrastructure, networking, storage, identity, observability, capacity, and workload teams. - Communicate Clearly: Produce precise requirements and decision documents, and explain technical trade-offs and business implications to diverse stakeholders. What You'll Bring to the Team: - AI and Machine Learning Infrastructure: You understand how training, fine-tuning, inference, checkpointing, and GPU-intensive workloads interact with orchestration systems. - Strong Technical Fluency: Significant experience with Kubernetes, cloud infrastructure, distributed systems, workload orchestration, or related technologies. - Technical Product Management Experience: Five or more years of experience owning complex technical products or infrastructure initiatives from definition through delivery and iteration. - Systems Thinking and Attention to Detail: The ability to reason through APIs, lifecycle states, failure modes, upgrades, operational workflows, and dependencies across distributed systems. - Strong Product Judgment: The ability to balance customer value, reliability, engineering cost, operational complexity, and long-term maintainability when making product decisions. - Ownership and Execution: A track record of independently driving ambiguous, cross-functional initiatives to clear decisions and high-quality outcomes. - Clear Communication and Collaboration: The ability to work closely with engineers, document decisions precisely, and create alignment across technical and nontechnical teams. Bonus Points: - High-Performance Computing: You have experience with HPC environments, Slurm or similar workload managers, specialized networking, or large accelerator clusters. - Infrastructure Operations: You have operated or supported production infrastructure and understand the impact of product decisions on reliability, upgrades, debugging, and incident response. - Builder Orientation: You enjoy using infrastructure products directly, examining APIs, and experimenting with systems to develop grounded product opinions. Benefits: - Competitive compensation and equity packages - Restricted Stock Units - Paid time off, paid holidays & leave of absence programs - Comprehensive health, dental & vision insurance - Employer contributions to HSA account - Paid parental leave - Paid life insurance, short-term and long-term disability - Professional development & tuition reimbursement - Mental health & wellness support - Commuter benefits (parking & transit) - Cell phone stipend - 401(k) Retirement plan with company match up to 4% of salary - Volunteer time off - Global travel insurance & emergency assistance - Daily meals allowance - Additional perks & programs specific to location Compensation Range Compensation will be paid in the range of $170,000 to $205,000 + Bonus. Restricted Stock Units are included in all offers. Compensation to be determined by the applicant's education, experience, knowledge, skills, and abilities, as well as internal equity and alignment with market data. Crusoe is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, disability, genetic information, pregnancy, citizenship, marital status, sex/gender, sexual preference/ orientation, gender identity, age, veteran status, national origin, or any other status protected by law or regulation.
Senior Cloud Support Engineer
Crusoe is on a mission to accelerate the abundance of energy and intelligence. As the only vertically integrated AI infrastructure company built from the ground up, we own and operate each layer of the stack — from electrons to tokens — to power the world's most ambitious AI workloads. When you join Crusoe, you join a team that is building the future, faster. We're in the midst of the greatest industrial revolution of our time. The demand for AI compute is boundless, and power is a bottleneck. We're solving that — with an energy-first approach that makes AI infrastructure better for the world and faster for the people innovating with AI. We're looking for problem-solving, opportunity-finding teammates with a sense of urgency, who believe in the scale of our ambition and thrive on a path not fully paved — people who want to grow their careers alongside a team of experts across energy, manufacturing, data center construction, and cloud services. If you want to do the most meaningful work of your career, help our customers and partners advance their AI strategies, and be part of a high-performing team that believes in each other, come build with us at Crusoe. About This Role: Crusoe Cloud is revolutionizing high-performance computing by offering sustainable, low-cost GPU compute power. As a Senior Cloud Support Engineer, you'll play a crucial role in empowering our customers to leverage this technology for groundbreaking advancements in fields like AI/ML, physics simulations, and computational biology. You will be the primary point of contact for technical support, ensuring our customers can seamlessly utilize Crusoe Cloud to achieve their goals. This role directly impacts Crusoe's mission by enabling our customers to accelerate their research and development, contributing to a more sustainable future. You will be involved in exciting projects, working with cutting-edge technologies and collaborating with a talented team to solve complex challenges. The ideal candidate is a highly motivated and experienced technical professional with a passion for customer success, a deep understanding of cloud technologies, and a commitment to Crusoe's values. This is a full-time position. What You’ll Be Working On: - Customer Support: Provide exceptional technical support to customers via Zendesk, meeting SLAs and maintaining high CSAT (95%+). - On-Call Rotation: Participate in a 24/7 on-call rotation to ensure timely resolution of critical issues. - Troubleshooting: Diagnose and resolve issues related to VMs, hardware failures, and scaling tests using CLI and internal tools. - Alert Triage and Maintenance: Manage alert triage, prepare for maintenance windows, and conduct node delivery testing. - Collaboration: Work closely with SRE, Networking, and Storage teams from initial triage to root cause analysis (RCA) delivery. - Global Teamwork: Adhere to global team collaboration and handoff processes for ticketing and on-call procedures. - Knowledge Sharing: Develop onboarding/training materials, knowledge base documentation, and standard operating procedures (SOPs). What You’ll Bring to the Team: - Education/Experience: Bachelor's degree in IT, Computer Science, Engineering, or a related field, or 4+ years of equivalent technical experience. - Linux Proficiency: Strong command-line interface (CLI) skills in Linux environments. - Version Control: Proficiency with Git for code management and collaboration. - Customer Support Experience: 5+ years of experience in a customer support role, ideally within cloud, storage, or networking environments. - Cloud Technologies: Experience with container orchestration (e.g., Kubernetes), workload management (e.g., Slurm, Terraform), and monitoring tools (e.g., Grafana). - Public Cloud Knowledge: Familiarity with other public cloud platforms (e.g., AWS, Azure, GCP). - Communication Skills: Excellent communication and customer service skills, including the ability to prioritize competing escalations. - HPC Knowledge: Understanding of HPC technologies such as Infiniband, RDMA, RoCE, and Software Defined Networking (SDN). Bonus Points: - Certifications: CKA, CKAD, CKS, KCNA, AWS Machine Learning - Specialty, Data Analytics - Specialty, Solutions Architect - Professional, Developer - Associate, NVIDIA AI Infrastructure and Operations, Generative AI and LLMs, Generative AI Multi-modal, Infiniband, Linux Foundation IT Associate, System Administrator. - Cloud Expertise: Deep understanding of specific cloud platforms and services. - Automation Skills: Experience with automation tools and scripting languages. - Problem-Solving Abilities: Demonstrated ability to analyze complex technical issues and develop effective solutions. - Collaboration and Mentorship: Proven ability to mentor, train, and onboard colleagues. - Passion for Sustainability: A strong interest in contributing to a more sustainable future through technology. Benefits: - Competitive compensation - Restricted Stock Units - Paid time off & paid holidays - Comprehensive health, dental & vision insurance - Employer contributions to HSA account - Paid parental leave - Paid life insurance, short-term and long-term disability - Professional development & tuition reimbursement - Mental health & wellness support - Commuter benefits (parking & transit) - Cell phone stipend - 401(k) Retirement plan with company match up to 4% of salary - Volunteer time off Compensation: Compensation will be paid between $145,000 – $175,000 + Bonus. Restricted Stock Units are included in all offers. Salary will be determined by the applicant’s education, experience, knowledge, skills, and abilities, as well as internal equity and alignment with market data. Crusoe is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, disability, genetic information, pregnancy, citizenship, marital status, sex/gender, sexual preference/ orientation, gender identity, age, veteran status, national origin, or any other status protected by law or regulation.
Principal Product Manager, AI Infrastructure (Netw...
Crusoe is on a mission to accelerate the abundance of energy and intelligence. As the only vertically integrated AI infrastructure company built from the ground up, we own and operate each layer of the stack — from electrons to tokens — to power the world's most ambitious AI workloads. When you join Crusoe, you join a team that is building the future, faster. We're in the midst of the greatest industrial revolution of our time. The demand for AI compute is boundless, and power is a bottleneck. We're solving that — with an energy-first approach that makes AI infrastructure better for the world and faster for the people innovating with AI. We're looking for problem-solving, opportunity-finding teammates with a sense of urgency, who believe in the scale of our ambition and thrive on a path not fully paved — people who want to grow their careers alongside a team of experts across energy, manufacturing, data center construction, and cloud services. If you want to do the most meaningful work of your career, help our customers and partners advance their AI strategies, and be part of a high-performing team that believes in each other, come build with us at Crusoe. About the Role: Crusoe is building the infrastructure layer that powers the most demanding AI workloads on the planet. Our networking stack is what connects thousands of GPUs into the high-performance clusters that some of the biggest names in AI rely on to train and run their models. As a Principal Product Manager on our AI Infrastructure team, you will own the long-term architecture and technology strategy for Crusoe's networking foundation: the fleet-wide design, the fabric, and the technology choices that determine whether our network can scale for years, not just for the next customer request. This is a foundations role. You will work as a peer to our most senior infrastructure engineers and architects, and your decisions on architecture, vendor strategy, and technology direction will shape what every Crusoe customer builds on for years to come. You will partner closely with Infrastructure Engineering, Cloud Software Engineering, and Architecture to translate future workload, fleet, and customer requirements into the infrastructure Crusoe needs, and drive the long-term vendor and technology strategy that keeps our network world-class for AI at scale. What You'll Be Working On: - Long-term vision: Define the 2-4 year vision and roadmap for Crusoe's networking foundation, from fleet-wide architecture to fabric design. - Vendor management strategy: Own Crusoe's long-term vendor management strategy for the network, including defining our cost structure and capital allocation. - Platform targets: Set the performance, reliability, scalability, and cost targets the network must hit, including network cost per GPU and per server. - Connectivity architecture: Own cross-DC and multi-site connectivity strategy, network topology, and failure-domain design. - Technology strategy: Drive NIC, DPU, switch, and networking technology strategy, including evaluating new hardware generations and vendors. - Structural investment: Identify structural limitations in the current architecture and prioritize the long-term investments that resolve them. - Engineering partnership: Partner with Infrastructure Engineering and Architecture on major technical tradeoffs, and define the product requirements and business rationale behind foundational investments. - Executive communication: Represent networking foundations in leadership reviews, translating architecture and vendor tradeoffs into clear decision docs. What You'll Bring to the Team: - Bachelor's degree in electrical engineering, computer science, or a related field. - 8+ years of technical product management experience, or product-minded infrastructure engineering experience, with a track record of owning architecture-level outcomes at Principal or equivalent scope. - Subject matter expertise in networking, with the credibility to operate as a peer to senior infrastructure engineers and architects. - Direct experience with fleet-wide network architecture, topology design, and failure-domain strategy at scale. - Experience managing long-term vendor strategy and vetting in-house software engineering investment for core networking infrastructure. - A strong grasp of infrastructure economics at scale, including cost per unit and capacity planning. - Analytical mindset with the ability to use data to inform multi-year infrastructure decisions. - Exceptional communication skills, with the ability to translate technical tradeoffs into clear narratives for engineering leadership and executives. - Direct experience with RDMA fabrics such as InfiniBand or RoCE, and with GPU cluster networking for AI training or inference. Bonus Points - Experience with data center network design, including cross-DC and multi-site connectivity. - Familiarity with the current landscape of networking silicon, NICs, and switch vendors serving AI infrastructure. - Experience managing or mentoring other product managers. Benefits: - Competitive compensation and equity packages - Restricted Stock Units - Paid time off, paid holidays & leave of absence programs - Comprehensive health, dental & vision insurance - Employer contributions to HSA account - Paid parental leave - Paid life insurance, short-term and long-term disability - Professional development & tuition reimbursement - Mental health & wellness support - Commuter benefits (parking & transit) - Cell phone stipend - 401(k) Retirement plan with company match up to 4% of salary - Volunteer time off - Global travel insurance & emergency assistance - Daily meals allowance - Additional perks & programs specific to location Compensation Range Compensation will be paid in the range of up to $285,000 - $335,000 + Bonus. Restricted Stock Units are included in all offers. Compensation to be determined by the applicant's knowledge, education, and abilities, as well as internal equity and alignment with market data. Crusoe is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, disability, genetic information, pregnancy, citizenship, marital status, sex/gender, sexual preference/ orientation, gender identity, age, veteran status, national origin, or any other status protected by law or regulation.
Group Product Manager, Edge Computing
Crusoe is on a mission to accelerate the abundance of energy and intelligence. As the only vertically integrated AI infrastructure company built from the ground up, we own and operate each layer of the stack — from electrons to tokens — to power the world's most ambitious AI workloads. When you join Crusoe, you join a team that is building the future, faster. We're in the midst of the greatest industrial revolution of our time. The demand for AI compute is boundless, and power is a bottleneck. We're solving that — with an energy-first approach that makes AI infrastructure better for the world and faster for the people innovating with AI. We're looking for problem-solving, opportunity-finding teammates with a sense of urgency, who believe in the scale of our ambition and thrive on a path not fully paved — people who want to grow their careers alongside a team of experts across energy, manufacturing, data center construction, and cloud services. If you want to do the most meaningful work of your career, help our customers and partners advance their AI strategies, and be part of a high-performing team that believes in each other, come build with us at Crusoe. About the Role: The Group Product Manager, Edge Computing is responsible for defining and delivering Crusoe's edge computing product strategy, built on Crusoe Spark™ modular AI data centers. You'll own the product vision, roadmap, and execution for edge offerings end to end, from hardware configurations to the software stack, bringing real-time, low-latency AI to industries like public sector, manufacturing, autonomous vehicles, and smart cities. You will define how customers deploy and consume AI infrastructure at the edge, translating emerging low-latency AI workload requirements into scalable, reliable, and economically efficient products. The role operates at the intersection of hardware, software, energy, and product strategy, ensuring that edge investments across modular data center design, compute platforms, and the cloud control plane translate into customer value and business outcomes. The Group Product Manager, Edge Computing collaborates closely with engineering, infrastructure, manufacturing, business operations, and go-to-market teams to deliver edge solutions for customers running demanding AI workloads outside the traditional data center. What You'll Be Working On: - Define and execute the product vision and strategy for Crusoe's Edge Computing offerings, based on Crusoe Spark™ modular AI data centers - Own the full product lifecycle, from ideation to end-of-life, across both hardware and software solutions at the edge - Conduct market research, competitive analysis, and customer interviews to identify new opportunities and validate product concepts - Translate product strategy into a detailed roadmap, user stories, and feature requirements spanning hardware configurations, software stack, and connectivity - Partner with engineering, infrastructure, manufacturing, business operations, and go-to-market teams to ensure successful product development and launch - Define pricing and packaging models that balance deployment economics, customer flexibility, and long-term infrastructure returns - Track and analyze key product metrics to inform decisions and measure product success - Develop executive-level narratives and decision materials that inform investment, capacity planning, and product direction - Serve as the internal and external evangelist for Crusoe's Edge Computing products, presenting to customers, partners, and internal stakeholders What You'll Bring to the Team: - Product management experience delivering hardware, software, or platform products in the edge computing or cloud infrastructure space - A proven track record of launching and scaling B2B technical products from concept to market - Strong technical understanding of edge computing architectures, including hardware (servers, storage, networking), software (containerization, virtualization, control plane as part of a cloud infrastructure), and connectivity - Experience working across hardware and software boundaries, translating infrastructure capabilities into customer-facing products - Ability to balance technical tradeoffs, customer requirements, and infrastructure economics when making product decisions - Experience collaborating across engineering, manufacturing, operations, and GTM teams to deliver complex infrastructure products - Exceptional communication skills, with the ability to articulate complex technical concepts to a variety of audiences and connect them to customer and business outcomes - The ability to thrive in a fast-paced, high-growth startup environment Bonus Points - Experience with AI/ML infrastructure, including training, inference, and MLOps - Prior experience in the energy sector or with sustainable technology - Hands-on experience with hardware design and manufacturing processes - Experience with a cloud provider (AWS, Azure, GCP) and their edge/distributed cloud products, or a deep understanding of cloud-native principles Benefits: - Competitive compensation and equity packages - Restricted Stock Units - Paid time off, paid holidays & leave of absence programs - Comprehensive health, dental & vision insurance - Employer contributions to HSA account - Paid parental leave - Paid life insurance, short-term and long-term disability - Professional development & tuition reimbursement - Mental health & wellness support - Commuter benefits (parking & transit) - Cell phone stipend - 401(k) Retirement plan with company match up to 4% of salary - Volunteer time off - Global travel insurance & emergency assistance - Daily meals allowance - Additional perks & programs specific to location Compensation Range Compensation will be paid in the range of up to $250,000-$300,000 + Bonus. Restricted Stock Units are included in all offers. Compensation to be determined by the applicant's knowledge, education, and abilities, as well as internal equity and alignment with market data. Crusoe is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, disability, genetic information, pregnancy, citizenship, marital status, sex/gender, sexual preference/ orientation, gender identity, age, veteran status, national origin, or any other status protected by law or regulation.
Director, Portfolio Product Marketing
Crusoe is on a mission to accelerate the abundance of energy and intelligence. As the only vertically integrated AI infrastructure company built from the ground up, we own and operate each layer of the stack — from electrons to tokens — to power the world's most ambitious AI workloads. When you join Crusoe, you join a team that is building the future, faster. We're in the midst of the greatest industrial revolution of our time. The demand for AI compute is boundless, and power is a bottleneck. We're solving that — with an energy-first approach that makes AI infrastructure better for the world and faster for the people innovating with AI. We're looking for problem-solving, opportunity-finding teammates with a sense of urgency, who believe in the scale of our ambition and thrive on a path not fully paved — people who want to grow their careers alongside a team of experts across energy, manufacturing, data center construction, and cloud services. If you want to do the most meaningful work of your career, help our customers and partners advance their AI strategies, and be part of a high-performing team that believes in each other, come build with us at Crusoe. About the Role: Sales can't sell what they can't explain. As we ship faster across datacenter, infrastructure, training, and inference, our field needs someone who can take a dense technical roadmap and turn it into a story a seller can tell. Our product-line PMMs own the messaging for their individual products. This role sits above and across them. You take the positioning each product PMM produces and synthesize it into a coherent portfolio story, then translate that story into the plays, training, and competitive frameworks the field actually runs on. You are the connective tissue between the product-marketing bench and Revenue Enablement. You own the sales narrative, the competitive intelligence, and the go-to-market motion across the whole portfolio. You own the first-call deck and the story arc that follows it through the customer journey, and you arm the field with the objections they'll hit and the plays to overcome them. What You'll Be Working On: SALES PLAYS - Serve as the primary SME for building sales plays for new products and features, synthesizing across product lines into a single motion the field can run - Translate product-line MRDs into sales-facing playbook components and launch guidance: what we're building, why, for whom, and what it displaces, framed for the questions sales will actually ask - Partner with Product and product-line PMMs on launch calendars, ensuring Revenue Enablement gets months of lead time, not days - Translate early-access and preview learnings into targeting guidance and field-ready talk tracks MESSAGING & NARRATIVE - Synthesize product-line messaging into a portfolio-level sales narrative using Command of the Message (Force Management), keeping the cross-product story coherent and differentiated - Own the sales narrative for the First Call Deck: conversational up front - Build modular slide libraries so reps can tailor by persona, segment, and use case without going off-message TRAINING & FIELD READINESS - Build curriculum components for new-hire onboarding and ongoing field education - Build and deliver training with Product for Field Forum; help plan the calendar around launches - Run train-the-trainer sessions with the Revenue Enablement team so enablement can scale delivery - Review enablement-created content for technical accuracy before it reaches the field COMPETITIVE & MARKET INTELLIGENCE - Maintain competitive battlecards using one consistent framework, so reps learn the structure once and can recall it under pressure - Keep the competitive matrix current across hyperscalers, neoclouds, and managed inference providers - Publish digestible analyst and industry updates with FAQs and "what to say" guidance, drawing on sources like SemiAnalysis and Gartner - Keep ICP definitions current and help sellers identify and qualify new ICP targets CUSTOMER-FACING CONTENT - Product one-pagers and datasheets for every product, ready to send - Customer stories, each with a single business-impact slide reps can drop into any deck - Infographics, top-ten lists, and short attention-grabbing assets for outreach and LinkedIn - Build ROI/TCO calculators and other decision-support tools for sales OPERATIONS - Restructure and maintain content repositories so blogs, ungated content, and decks are discoverable, and so AI assistants and Field Guide can reliably pull the latest version - Enforce version hygiene: one source of truth per asset, visible last-updated dates What You'll Bring to the Team: REQUIRED - 10+ years in product marketing, ideally in cloud infrastructure, AI, or machine learning - Technical depth in AI/ML infrastructure: you understand the real differences between training and inference workloads, what makes an inference stack fast or cheap, and how customers actually evaluate compute - Working knowledge of the competitive landscape: hyperscalers, neoclouds, managed inference providers, and the buy-vs-build calculus - Fluency with sales messaging frameworks; Command of the Message strongly preferred - Proven storytelling: you can take a technical concept and make a non-technical seller feel confident repeating it - Real understanding of how enterprise sales works: pipeline stages, MEDDIC-style qualification, what a rep is actually doing in a first call, and why most enablement content goes unused - Ability to work across a bench of product-line PMMs: synthesizing their work, not duplicating it, and holding the portfolio view none of them own individually - Experience building content that sellers voluntarily reuse STRONG PLUS - Prior experience at an infrastructure, semiconductor, or AI platform company - Background as a sales engineer, solutions architect, or technical seller - Comfort with data tooling to build TCO models that survive customer scrutiny Benefits: - Competitive compensation and equity packages - Restricted Stock Units - Paid time off, paid holidays & leave of absence programs - Comprehensive health, dental & vision insurance - Employer contributions to HSA account - Paid parental leave - Paid life insurance, short-term and long-term disability - Professional development & tuition reimbursement - Mental health & wellness support - Commuter benefits (parking & transit) - Cell phone stipend - 401(k) Retirement plan with company match up to 4% of salary - Volunteer time off - Global travel insurance & emergency assistance - Daily meals allowance - Additional perks & programs specific to location Compensation Range Compensation will be paid in the range of up to $240,000 - $270,000 + Bonus. Restricted Stock Units are included in all offers. Compensation to be determined by the applicant's knowledge, education, and abilities, as well as internal equity and alignment with market data. Crusoe is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, disability, genetic information, pregnancy, citizenship, marital status, sex/gender, sexual preference/ orientation, gender identity, age, veteran status, national origin, or any other status protected by law or regulation.
Director, Customer Enablement
Crusoe is on a mission to accelerate the abundance of energy and intelligence. As the only vertically integrated AI infrastructure company built from the ground up, we own and operate each layer of the stack — from electrons to tokens — to power the world's most ambitious AI workloads. When you join Crusoe, you join a team that is building the future, faster. We're in the midst of the greatest industrial revolution of our time. The demand for AI compute is boundless, and power is a bottleneck. We're solving that — with an energy-first approach that makes AI infrastructure better for the world and faster for the people innovating with AI. We're looking for problem-solving, opportunity-finding teammates with a sense of urgency, who believe in the scale of our ambition and thrive on a path not fully paved — people who want to grow their careers alongside a team of experts across energy, manufacturing, data center construction, and cloud services. If you want to do the most meaningful work of your career, help our customers and partners advance their AI strategies, and be part of a high-performing team that believes in each other, come build with us at Crusoe. About This Role Crusoe is looking for a Director of Customer Enablement to build the enablement function from the ground up, reporting to the VP of Customer Experience. You will own how customers are onboarded, educated, and enabled across their lifecycle, while ensuring the entire CX organization — Customer Success, Support, Customer Engineering, and Operations — has the training and knowledge to support a rapidly evolving AI infrastructure platform. You'll start hands-on, building foundational content and repeatable onboarding programs, then grow and lead a Customer Enablement organization spanning education, documentation, certifications, and knowledge management. This role is based in SF, Bellevue, or Sunnyvale. What You'll Be Working On - Own the customer onboarding strategy from contract signature through production readiness, with standardized journeys across Cloud, Managed Inference, and future products that reduce time-to-value - Build scalable customer education programs — instructor-led training, virtual workshops, technical webinars, self-paced learning, video libraries, and role-based learning paths from platform administrators to ML engineers - Lead internal CX enablement, translating every product launch, platform capability, and operational process into repeatable training for Customer Success, Support, Incident Management, Professional Services, and Customer Reliability teams - Own the CX knowledge management strategy, establishing documentation standards, content governance, version control, and a centralized knowledge hub for customers and internal teams - Define and track enablement metrics — onboarding completion, time-to-first-production workload, product adoption, certification rates, support ticket reduction, and self-service adoption — with dashboards to continuously improve programs - Build and lead the Customer Enablement organization as Crusoe scales, recruiting specialists across onboarding, technical training, documentation, instructional design, and knowledge management What You'll Bring to the Team - Bachelor’s degree - 8+ years leading Customer Enablement, Customer Success Enablement, Technical Enablement, Learning & Development, or Customer Education organizations - 3+ years leading managers or building enablement teams - Experience designing scalable onboarding programs for enterprise customers - Experience building internal enablement programs for technical customer-facing organizations - Strong understanding of cloud infrastructure, Kubernetes, AI infrastructure, GPU computing, or enterprise SaaS - Experience creating customer education programs, certifications, documentation, and technical learning experiences - Excellent program management skills paired with strong executive communication and cross-functional leadership Bonus Points - Experience at a cloud infrastructure, AI, MLOps, or enterprise platform company - Experience implementing an LMS or learning platform - Experience developing customer certification programs - Familiarity with technical documentation platforms such as Confluence, Notion, GitBook, or ReadMe - Experience scaling enablement for global Customer Success and Support organizations Benefits: - Competitive compensation and equity packages - Restricted Stock Units - Paid time off, paid holidays & leave of absence programs - Comprehensive health, dental & vision insurance - Employer contributions to HSA account - Paid parental leave - Paid life insurance, short-term and long-term disability - Professional development & tuition reimbursement - Mental health & wellness support - Commuter benefits (parking & transit) - Cell phone stipend - 401(k) Retirement plan with company match up to 4% of salary - Volunteer time off - Global travel insurance & emergency assistance - Daily meals allowance - Additional perks & programs specific to location Compensation Range Compensation will be paid in the range of up to $215,000 - $250,000 + Bonus. Restricted Stock Units are included in all offers. Compensation to be determined by the applicant's knowledge, education, and abilities, as well as internal equity and alignment with market data. Crusoe is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, disability, genetic information, pregnancy, citizenship, marital status, sex/gender, sexual preference/ orientation, gender identity, age, veteran status, national origin, or any other status protected by law or regulation.
Forward Deployed Engineer - (East coast based)
Overview The Forward Deployed Engineer (FDE) at CrewAI is a pivotal, customer-facing role that bridges the gap between our cutting-edge AI technology and our clients' specific needs. We are looking for a hybrid technical expert and strategic consultant who can not only implement our solutions but also understand the business context to ensure successful integration, adoption, and value delivery. Key Responsibilities Technical Implementation & Integration Lead the technical integration of CrewAI's products into customers’ systems, including API integrations, data pipelines, and custom workflows. Develop and maintain robust, scalable solutions tailored to client requirements, leveraging your expertise in Python and other relevant technologies. Troubleshoot complex technical issues during implementation and provide timely resolutions, collaborating with our internal engineering teams as needed. Client Engagement & Solution Design Act as the primary technical point of contact, thoroughly understanding the customers’ business objectives and technical landscapes. Translate client needs into technical specifications and solution designs, ensuring alignment with CrewAI's product capabilities. Design and architect CrewAI-powered agent teams, assigning specialized roles and workflows tailored to client needs. Conduct technical workshops and training sessions for customer teams to facilitate product understanding and adoption. Collaborate with Customer Success Engineers and Support Engineers, to ensure customers’ success and smooth operations Deployment & Optimization Deploy, configure, and optimize CrewAI-based multi-agent systems in production environments. Develop and integrate custom agents, tools, and processes using Python and CrewAI’s open-source libraries. Monitor deployed solutions for performance, reliability, and business value, rapidly iterating on agent roles and workflows to adapt to evolving client needs. Requirements Qualifications & Desired Skills Proven experience in a customer-facing technical role, such as a Solutions Engineer, Sales Engineer, or Technical Consultant. Bachelor's degree in Computer Science, Engineering, or a related technical field is preferred. Strong proficiency in Python and experience with APIs and system integrations. Familiarity with AI/ML concepts and technologies, including AI agent frameworks and LLMs. Exceptional communication, presentation, and interpersonal skills. Knowledge of workflow orchestration, multi-agent systems, or distributed computing. Experience building GenAI solutions and knowledge of design patterns, RAG, and working with various databases (SQL, NoSQL) are a plus. Contributions to open-source AI agent projects or experience with human-in-the-loop systems is a significant bonus. Team Collaboration You will work closely with our Product, Engineering, Sales, and Customer Success teams to provide client feedback, resolve technical issues, support pre-sales activities, and ensure overall client satisfaction. Performance Metrics Your success will be measured by key indicators, including: Successful project implementations and high client satisfaction. Timeliness and effectiveness of technical support and issue resolution. The quality of your solution designs and documentation. Your contribution to product improvements through actionable client feedback.
Customer Success Manager, LATAM
About the Role As a Customer Success Manager, LATAM at CrewAI, you will be the strategic partner for our growing portfolio of enterprise customers across Brazil and Latin America. You will own the customer relationship from onboarding through renewal and expansion — becoming a trusted advisor who helps organizations translate their AI investments into measurable business outcomes. This is a high-impact, relationship-driven role at the frontier of enterprise AI, and a pivotal hire as we plant our flag in the region. What You’ll Do Own the full customer lifecycle for a portfolio of LATAM enterprise accounts, from onboarding through renewal and expansion Build and maintain deep relationships with customer stakeholders and executive sponsors, acting as a trusted strategic advisor throughout their AI journey Define and track success metrics, health scores, and adoption milestones for each account; translate platform usage into business outcomes and ROI Design and execute activation strategies — champion programs, office hours, usage reviews, and customized workshops — that drive meaningful platform adoption Lead business reviews (QBRs) with customer leadership to demonstrate realized value and align on next steps Proactively identify expansion opportunities and partner with sales on upsell and cross-sell initiatives Orchestrate cross-functional teams (Product, Engineering, Solutions) to resolve escalations and remove blockers for customer success Serve as the voice of the LATAM customer internally, surfacing feedback, regional nuance, and product gaps to Product and Engineering Develop and scale enablement resources — playbooks, onboarding guides, training materials — tailored to LATAM markets Build and nurture champion communities and power user networks within customer organizations Requirements 4 - 7+ years of customer-facing experience in Customer Success, Account Management, or Strategic Partnerships at a SaaS or enterprise software company Fluent in Portuguese and English; Spanish proficiency strongly preferred Proven track record of owning customer outcomes end-to-end — activation, adoption, retention, and expansion Experience managing a portfolio of enterprise accounts and navigating complex, multi-stakeholder environments Demonstrated ability to connect platform usage to business outcomes and articulate ROI to both business and executive audiences Strong facilitation skills — able to design and lead workshops, training sessions, and business reviews that move customers to action Exceptional communication and executive presence; can present with confidence at the C-suite level and translate complex concepts for diverse audiences Enough technical fluency to be credible with engineering stakeholders and collaborate effectively with technical teams Preferred Qualifications Prior experience with AI, ML, or automation platforms in a customer-facing role Familiarity with agentic AI concepts, large language models (LLMs), or multi-agent frameworks Experience building champion networks, power user communities, or internal advocacy programs within enterprise accounts Deep knowledge of LATAM enterprise buying culture, regional regulatory environments, and market nuance Background in a high-growth startup or early-stage product company; comfortable operating with ambiguity and evolving processes Experience working cross-functionally with Product and Engineering to close customer feedback loops Proficiency with CRM and CS tooling Who You Are Customer Obsessed: You treat every customer’s success as your own — you anticipate problems before they happen and take ownership of outcomes, not just activities: Builder Mindset: You don’t wait for customers to engage — you build the programs, communities, and frameworks that make engagement inevitable: Clear Communicator: You can walk a VP of Engineering through an architecture decision and a CMO through an ROI analysis — in Portuguese, Spanish, or English: AI-Curious: You follow the AI ecosystem closely, bring genuine curiosity to every customer conversation, and help customers see what’s possible with agentic AI: Collaborative: You thrive in cross-functional environments, share your playbook generously, and raise the bar for everyone around you: Benefits Competitive salary and equity in a fast-growing AI infrastructure company Opportunity to work at the frontier of agentic AI with some of the most ambitious enterprise teams in the world Remote-friendly culture with flexible working arrangements Dedicated budget for learning, conferences, and professional development Access to cutting-edge LLM credits, tooling, and infrastructure Collaborative, low-ego team that moves fast and celebrates wins together
Senior Product Engineer
Cresta unlocks the true potential of the customer experience, turning every conversation into a competitive advantage. Cresta’s unified AI platform combines conversational AI agents, real-time human agent augmentation, and comprehensive conversation intelligence to drive revenue and efficiency gains across every channel. The world’s leading companies, including United Airlines, Cox Communications, and Marriott, use Cresta to power world-class customer experiences every day. Born from the Stanford AI Lab, Cresta has raised more than $270 million from the world’s leading investors, including a16z, Greylock, and Sequoia. Cresta’s leadership includes some of the leading minds in AI today. Our CEO, Ping Wu , founded and led Google's Contact Center AI and Vertex AI platforms before joining Cresta to build the future of AI-driven customer experiences. Over the next few years, AI is going to redefine how people all over the world interact with businesses every day. Come build that future at Cresta. About the Role: The team works at the intersection of engineering, applied AI, user research, and design. We move quickly from customer problems to prototypes, validate ideas with real users, and help turn the strongest concepts into scalable product experiences. You will work across the full product development loop: identifying user needs, designing product concepts, building working prototypes, evaluating quality, and partnering with product and engineering teams to bring the best ideas into production. This is a hands-on builder role for someone who enjoys ambiguity, cares deeply about product quality, and wants to shape how AI agents are built and improved in real world enterprise environments. What You’ll Do: - Build zero-to-one AI product experiences from early concept through prototype, validation, and productionization. - Work with users, product managers, designers, researchers, engineers, and customer-facing teams to identify high-impact opportunities. - Translate ambiguous customer needs and product ideas into clear workflows, interfaces, and technical designs. - Build and improve AI agent development, testing, evaluation, monitoring, and optimization workflows. - Use product data, user feedback, and evaluation results to understand what is working and what needs to improve. - Create clear demos, product notes, technical docs, and recommendations that help teams align and move faster. - Help define the product and technical bar for AI-native experiences at Cresta. What We’re Looking For: - 5+ years as a software/ML engineer on user-facing systems with strong full-stack engineering skills. - Experience building and shipping products or major features with significant end-to-end ownership. - Hands-on experience with LLMs, AI agents, AI workflows or applied ML products. - Strong product judgment and the ability to simplify complex technical ideas into intuitive user experiences. - Comfort working in ambiguous problem spaces where the right answer is not yet obvious. - Ability to move quickly from idea to prototype while maintaining strong engineering rigor. - Strong communication skills, especially when explaining technical concepts to cross-functional audiences. Bonus Points: - Experience designing and building evaluation and testing frameworks for machine learning systems - A practical approach to validation, including user research, instrumentation, metrics, and evaluation. - Previous experience in a startup or fast-paced product environment Note on Our Hiring Process: We highly value your time and engineering craftsmanship. To ensure a streamlined and objective process, the first step for qualified applicants following an initial resume review is a self-paced CoderPad technical assessment. This allows you to showcase your practical coding and problem-solving skills in a real-world environment before moving into conversational interview rounds. Perks & Benefits: We offer a comprehensive and people-first benefits package to support you at work and in life: - Comprehensive medical, dental, and vision coverage with plans to fit you and your family - Flexible PTO to take the time you need, when you need it - Paid parental leave for all new parents welcoming a new child - Retirement savings plan to help you plan for the future - Remote work setup budget to help you create a productive home office - Monthly wellness and communication stipend to keep you connected and balanced - In-office meal program and commuter benefits provided for onsite employees Compensation at Cresta: Cresta’s approach to compensation is simple: recognize impact, reward excellence, and invest in our people. We offer competitive, location-based pay that reflects the market and what each individual brings to the table. The posted base salary range represents what we expect to pay for this role in a given location. Final offers are shaped by factors like experience, skills, education, and geography. In addition to base pay, total compensation includes equity and a comprehensive benefits package for you and your family. Salary Range : $190,000–$270,000 + Offers Equity Our use of AI in recruiting: We may use AI tools in our recruiting process, which require human review and oversight. If you have questions about our use of AI or wish to opt out, please contact recruiting@cresta.ai (if you are opting out, please use the subject ‘Opt-Out’ in your email). Recording & AI transcription: We do not authorize candidates to record or use AI transcription of any interview by phone, notetaker app, AI glasses, or other device. Candidates may request an exception or accommodation for review during the interview process as needed. Recruiting impersonation scams: We have noticed a rise in recruiting impersonations across the industry, where scammers attempt to access candidates' personal and financial information through fake interviews and offers. All Cresta recruiting email communications will always come from the @cresta .ai domain. Any outreach claiming to be from Cresta via other sources should be ignored.
Embedded AI Expert
Cresta unlocks the true potential of the customer experience, turning every conversation into a competitive advantage. Cresta’s unified AI platform combines conversational AI agents, real-time human agent augmentation, and comprehensive conversation intelligence to drive revenue and efficiency gains across every channel. The world’s leading companies, including United Airlines, Cox Communications, and Marriott, use Cresta to power world-class customer experiences every day. Born from the Stanford AI Lab, Cresta has raised more than $270 million from the world’s leading investors, including a16z, Greylock, and Sequoia. Cresta’s leadership includes some of the leading minds in AI today. Our CEO, Ping Wu , founded and led Google's Contact Center AI and Vertex AI platforms before joining Cresta to build the future of AI-driven customer experiences. Over the next few years, AI is going to redefine how people all over the world interact with businesses every day. Come build that future at Cresta. Job Description: Cresta is seeking a Embedded AI Expert to join our team and work closely with our customers in a tactical execution role. As an Embedded AI Expert, you will be responsible for configuring and maintaining our self-service product, as well as sharing insights and building insight/performance reports. Additionally, you will monitor trends and anomalies using the Cresta application, respond to ad hoc business requests for analysis, and provide ongoing mentoring and support for our customers' own analysts. Responsibilities: - Work closely with customers to operationalize their program strategy using Cresta's self-service product, Opera. - Obtain Opera certification and utilize keyword and utterance rules to identify key moments in contact center conversations and set up resulting actions. - Utilize Cresta's voice analytics tools to understand emerging topics in contact center conversations and communicate them to the customer. - Monitor trends and anomalies using Cresta's tools to identify emerging topics and insights in customer conversations. - Use Cresta's self-service tools to align the customer's business priorities with the contact center operations. - Respond to ad hoc business requests for analysis and provide actionable insights derived from contact center data. - Offer ongoing mentoring and support to the customer's own analysts, guiding them in effectively utilizing Cresta tools. - Collaborate closely with the Cresta team and customers to drive success and maximize the value of Cresta's solutions. - 1-5 Years relevant experience Qualifications : - Contact center experience preferred. - Excellent written and verbal communication skills to effectively communicate insights and collaborate with customers and internal teams. - Strong problem-solving skills to analyze complex data and provide actionable recommendations. - Comfortable working with SaaS software and quickly adapting to new tools and technologies. - Comfortable speaking with senior level executives at customers - Proficient in Microsoft Word, Excel, and PowerPoint/Google Slides. - Familiarity with speech analytics is preferred, but not critical. Perks & Benefits: - We offer Cresta employees a variety of medical, dental, and vision plans, designed to fit you and your family’s needs - Flexible vacation time to promote a healthy work-life blend - Paid parental leave to support you and your family - Communication & Wellness Stipend - Comprehensive training and onboarding programs provided by Cresta. - Opportunities for growth and professional development within the organization. - Collaborative and supportive work environment with both Cresta and customer teams. Compensation at Cresta: Cresta’s approach to compensation is simple: recognize impact, reward excellence, and invest in our people. We offer competitive, location-based pay that reflects the market and what each individual brings to the table. The posted base salary range represents what we expect to pay for this role in a given location. Final offers are shaped by factors like experience, skills, education, and geography. In addition to base pay, total compensation includes equity and a comprehensive benefits package for you and your family. Salary Range : $100,000 - $140,000 + Bonus + Equity We have noticed a rise in recruiting impersonations across the industry, where scammers attempt to access candidates' personal and financial information through fake interviews and offers. All Cresta recruiting email communications will always come from the @cresta.ai domain. Any outreach claiming to be from Cresta via other sources should be ignored. If you are uncertain whether you have been contacted by an official Cresta employee, reach out to recruiting@cresta.ai Our use of AI in recruiting: We may use AI tools in our recruiting process, which require human review and oversight. If you have questions about our use of AI or wish to opt out, please contact recruiting@cresta.ai (if you are opting out, please use the subject ‘Opt-Out’ in your email). Recording & AI transcription: We do not authorize candidates to record or use AI transcription of any interview by phone, notetaker app, AI glasses, or other device. Candidates may request an exception or accommodation for review during the interview process as needed. Recruiting impersonation scams: We have noticed a rise in recruiting impersonations across the industry, where scammers attempt to access candidates' personal and financial information through fake interviews and offers. All Cresta recruiting email communications will always come from the @cresta .ai domain. Any outreach claiming to be from Cresta via other sources should be ignored.
Data Science Intern (Customer Success)
Cresta unlocks the true potential of the customer experience, turning every conversation into a competitive advantage. Cresta’s unified AI platform combines conversational AI agents, real-time human agent augmentation, and comprehensive conversation intelligence to drive revenue and efficiency gains across every channel. The world’s leading companies, including United Airlines, Cox Communications, and Marriott, use Cresta to power world-class customer experiences every day. Born from the Stanford AI Lab, Cresta has raised more than $270 million from the world’s leading investors, including a16z, Greylock, and Sequoia. Cresta’s leadership includes some of the leading minds in AI today. Our CEO, Ping Wu , founded and led Google's Contact Center AI and Vertex AI platforms before joining Cresta to build the future of AI-driven customer experiences. Over the next few years, AI is going to redefine how people all over the world interact with businesses every day. Come build that future at Cresta. Cresta is on a mission to turn every customer conversation into a competitive advantage by unlocking the true potential of the contact center. Our platform combines the best of AI and human intelligence to help contact centers discover customer insights and behavioral best practices, automate conversations and inefficient processes, and empower every team member to work smarter and faster. Born from the prestigious Stanford AI lab, Cresta's co-founder and chairman is Sebastian Thrun , the genius behind Google X, Waymo, Udacity, and more. Our leadership also includes CEO, Ping Wu , the co-founder of Google Contact Center AI and Vertex AI platform, and co-founder, Tim Shi , an early member of Open AI. Join us on this thrilling journey to revolutionize the workforce with AI. The future of work is here, and it's at Cresta. About the role: We are looking for a motivated Data Science Intern to join our team. This role offers hands-on experience working with real-world data, building models, and supporting data-driven decision-making. You will collaborate with data scientists, engineers, and business stakeholders to solve meaningful problems. What You'll Do : - Collect, clean, and preprocess structured and unstructured data - Perform exploratory data analysis to identify trends and insights - Build and evaluate machine learning models under guidance - Develop data visualizations and dashboards to communicate findings - Assist in deploying models and monitoring their performance - Work with large datasets using tools like Python, SQL, and cloud platforms - Document processes, experiments, and results clearly - Participate in team demos, feedback sessions, and learning opportunities. - This role provides mentorship and exposure to customer-facing technical problem solving in a fast-moving AI/Product environment. What We're Looking For: - Enrolled in a Bachelor’s or Master’s degree program in Computer Science, Engineering, or a related field. - Experience writing code in Python (or another general-purpose language). - Strong interest in artificial intelligence, machine learning, or software engineering. - Basic understanding of statistics and machine learning concepts - Familiarity with libraries such as Pandas, NumPy, Scikit-learn, or TensorFlow/PyTorch - Experience with SQL and working with databases - Strong analytical and problem-solving skills - Excellent communication skills and willingness to collaborate with teammates and customers. Nice-to-Haves - Experience with data visualization tools (e.g., Tableau, Power BI, Matplotlib, Seaborn) - Familiarity with cloud platforms (AWS, GCP, or Azure) - Knowledge of version control (Git) - Exposure to big data tools (Spark, Hadoop) is a plus This posting will be used to fill a newly-created role. We have noticed a rise in recruiting impersonations across the industry, where scammers attempt to access candidates' personal and financial information through fake interviews and offers. All Cresta recruiting email communications will always come from the @cresta.ai domain. Any outreach claiming to be from Cresta via other sources should be ignored. If you are uncertain whether you have been contacted by an official Cresta employee, reach out to recruiting@cresta.com. Our use of AI in recruiting: We may use AI tools in our recruiting process, which require human review and oversight. If you have questions about our use of AI or wish to opt out, please contact recruiting@cresta.ai (if you are opting out, please use the subject ‘Opt-Out’ in your email). Recording & AI transcription: We do not authorize candidates to record or use AI transcription of any interview by phone, notetaker app, AI glasses, or other device. Candidates may request an exception or accommodation for review during the interview process as needed. Recruiting impersonation scams: We have noticed a rise in recruiting impersonations across the industry, where scammers attempt to access candidates' personal and financial information through fake interviews and offers. All Cresta recruiting email communications will always come from the @cresta .ai domain. Any outreach claiming to be from Cresta via other sources should be ignored.
Conversational Designer, APAC
Cresta unlocks the true potential of the customer experience, turning every conversation into a competitive advantage. Cresta’s unified AI platform combines conversational AI agents, real-time human agent augmentation, and comprehensive conversation intelligence to drive revenue and efficiency gains across every channel. The world’s leading companies, including United Airlines, Cox Communications, and Marriott, use Cresta to power world-class customer experiences every day. Born from the Stanford AI Lab, Cresta has raised more than $270 million from the world’s leading investors, including a16z, Greylock, and Sequoia. Cresta’s leadership includes some of the leading minds in AI today. Our CEO, Ping Wu , founded and led Google's Contact Center AI and Vertex AI platforms before joining Cresta to build the future of AI-driven customer experiences. Over the next few years, AI is going to redefine how people all over the world interact with businesses every day. Come build that future at Cresta. About the Role As the Founding Conversational Designe r for APAC, you will play a pivotal role in shaping how Cresta delivers conversational AI solutions across the region. You’ll lead the design and deployment of best-in-class AI conversation models that power real-time coaching and assistance for contact center agents, as well as virtual agents across voice and chat experiences. This is a highly strategic, customer-facing role that combines conversational design expertise with strong project ownership and regional influence. As one of the first hires focused on Conversation Design in APAC, you will help establish delivery best practices, scale customer impact, and serve as a key partner in expanding Cresta’s presence across international markets. You will manage complex AI delivery engagements from initial discovery through deployment and optimization, ensuring projects stay on track, stakeholders remain aligned, and outcomes drive measurable business value. You’ll collaborate closely with cross-functional teams across Machine Learning, Data Science, Engineering, Product, Project Management, and Customer Success, while acting as a trusted advisor to customers throughout implementation. You’ll also help customers design, build, and maintain their own models using Cresta Opera, our proprietary self-service platform. Responsibilities - Own end-to-end AI delivery projects across APAC, including discovery, requirements gathering, solution design, build, deployment, QA, and post-launch optimization - Serve as a founding regional expert in conversational design, helping shape scalable delivery frameworks and best practices for international customers - Manage multiple concurrent customer implementations while balancing timelines, priorities, and stakeholder expectations - Partner cross-functionally to define scope, track milestones, mitigate risks, and ensure successful execution - Translate customer business objectives into scalable conversational AI solutions across sales, retention, collections, and customer service use cases - Drive alignment with customer stakeholders through regular working sessions, solution reviews, and executive-level presentations - Lead model maintenance and performance tuning efforts to ensure ongoing quality and measurable impact - Deliver Cresta’s Opera Enablement Program to key stakeholders, empowering customers to independently design, build, and QA their own AI models - Design and develop virtual agent solutions using flow-based, prompt-based, and hybrid architectures - Contribute to internal documentation, implementation standards, and repeatable delivery methodologies as Cresta scales globally - Partner closely with teams in North America while helping establish regional expertise and customer success across APAC Qualifications We Value - Strong written and verbal communication skills, with the ability to influence both technical and business stakeholders - Demonstrated project management experience, including managing multiple complex workstreams simultaneously - Proven ability to independently own deliverables, timelines, and cross-functional coordination in a fast-paced environment - 2+ years of experience in conversational design, conversational AI, bot development, or related fields - Experience presenting complex solutions to enterprise customer stakeholders, including executive audiences - Experience working directly with enterprise customers in implementation, consulting, or delivery roles - Experience operating in global or international customer environments preferred - Fluency in a second language strongly preferred - Background in Linguistics preferred - Experience with prompt engineering preferred - Experience with Dialogflow CX preferred Perks & Benefits: We offer a comprehensive and people-first benefits package to support you at work and in life: - Comprehensive medical, dental, and vision coverage with plans to fit you and your family - Paid parental leave for all new parents welcoming a new child - Remote work setup budget to help you create a productive home office - Monthly wellness and communication stipend to keep you connected and balanced - 20 days of vacation time to promote a healthy work-life blend Compensation at Cresta: Cresta’s approach to compensation is simple: recognize impact, reward excellence, and invest in our people. We offer competitive, location-based pay that reflects the market and what each individual brings to the table. Total compensation includes Base + Bonus + Equity , along with a comprehensive benefits package for you and your family. Our use of AI in recruiting: We may use AI tools in our recruiting process, which require human review and oversight. If you have questions about our use of AI or wish to opt out, please contact recruiting@cresta.ai (if you are opting out, please use the subject ‘Opt-Out’ in your email). Recording & AI transcription: We do not authorize candidates to record or use AI transcription of any interview by phone, notetaker app, AI glasses, or other device. Candidates may request an exception or accommodation for review during the interview process as needed. Recruiting impersonation scams: We have noticed a rise in recruiting impersonations across the industry, where scammers attempt to access candidates' personal and financial information through fake interviews and offers. All Cresta recruiting email communications will always come from the @cresta .ai domain. Any outreach claiming to be from Cresta via other sources should be ignored.
Scientist, Large Libraries
THIS IS CRADLE Proteins are the molecular machines of life, used for many therapeutic, diagnostic, chemical, agricultural and food applications. Designing and optimizing proteins takes a lot of expert knowledge and manual effort, through the use of custom computational and biological tools. Machine learning is revolutionizing this space, by enabling high-fidelity protein models. At Cradle, we offer a software platform for AI-guided discovery and optimization of proteins, so that biologists can design proteins faster and at scale. We are already used by clients across biopharma, biotech, agri-tech, food-tech, and academia. We're an experienced team of just under 100 people. We've built many successful products before and have enough funding for multiple years of runway. We are distributed across three offices in Amsterdam, Boston, and Zurich, alongside a few remote colleagues. We offer our employees a very competitive salary, a generous equity stake in the company and a wide range of benefits and career progression opportunities. WHAT WE'RE LOOKING FOR We are looking for a (Senior) Scientist to join our Large Libraries team and drive the development of novel high-throughput screening capabilities for protein-protein interactions. In this role, you will work on developing novel methods to screen protein variant libraries (e.g. antibodies) for measurement of protein interaction binding affinities. You will develop innovative methods to explore sequence-function landscapes, generating large-scale datasets. These datasets will power the Cradle AI/ML platform models, strengthen design recommendations, accelerate protein optimization, and deepen understanding of protein performance. Your efforts will enable our customers to engineer better proteins, faster across biotechnology applications. RESPONSIBILITIES Method Development & Execution - Develop and optimize novel workflows for high-throughput protein-protein interaction library screening - Build and optimize in vitro or cell-based assay pipelines across multiple display and screening modalities (yeast, phage, mRNA, ribosome display, or mammalian display) - Design, build, and execute molecular biology and biochemistry frameworks for library construction, screening, and data generation at scale - Establish robust and repeatable assays with the statistical rigor required for ML model training, evaluation and optimization Technical Leadership - Drive and lead projects from experimental design through data delivery - Identify opportunities to improve throughput, data quality, repeatability, and workflow efficiency. - Collaborate with a cross-functional team to troubleshoot complex technical challenges and iterate on solutions. Cross-functional Collaboration - Partner with the ML team to define data requirements and integrate experimental outputs into the ML pipeline. - Communicate results, insights, and technical challenges effectively across disciplines. - Contribute to shaping the scientific direction of the Large Libraries team and meaningfully contribute to the advancement of the Cradle platform. YOUR BACKGROUND Missing one or two points from the list below? No worries, if you're excited about this role and meet most of these criteria, we definitely want to hear from you. In the application form you will have a chance to spark our curiosity by telling us something groundbreaking you have worked on. - PhD in biochemistry, molecular biology, biophysics, synthetic biology, bioengineering, or a related field. - Demonstrated creativity in method development: you have invented or substantially adapted workflows, not just executed established ones. - Excitement to learn, contribute, and drive innovation in an early stage startup environment. Be comfortable with ambiguity and a fast paced environment. - Strong verbal and written communication skills in English. Proactively sharing results, successes and challenges in a cross-functional environment. - Ability to run multiple projects simultaneously while ensuring that process steps are documented, and physical/digital data are organized. NICE-TO-HAVES Experience with one or more of the following would be an advantage: - Large-scale DNA library construction methodologies (>10^6 variants) - Display platforms (yeast, phage, mRNA, ribosome display, or mammalian display) - Flow cytometry and FACS - Familiarity with binding kinetic measurement techniques (SPR, BLI, ELISA, etc.) - Next-generation sequencing library preparation, QC, and bioinformatic analysis tools (Illumina, Nanopore, PacBio). - Experience with statistically rigorous experimental design and data quality assessment - High-throughput data analysis or familiarity with scripting languages (Python, R) - Classical high-throughput laboratory automation (robotic liquid handlers, plate readers, colony pickers) Learning more about the BioEngineering team We're quite open about what we work on in our BioEngineering team. If you'd like to learn a bit more before applying, check out blog posts from our team (link 1 https://www.cradle.bio/blog/exploring-darwin-assembly, link 2 https://www.cradle.bio/blog/interviews-jinel) or watch our webinar on lab automation https://cradle.wistia.com/live/events/6c9njppjia?channelId=127668. OUR COMMITMENT TO INCLUSIVE HIRING Cradle evaluates all candidates based on merit, regardless of sex, gender, ethnicity, socio-economic background, or any other aspect of identity. We maintain zero tolerance for discrimination and actively encourage candidates from all backgrounds to apply. AI DISCLOSURE Cradle uses an applicant tracking system that includes basic AI-assisted features which may generate scores or rankings based on how applications match a job description. These outputs are not used to make or meaningfully influence hiring decisions — all candidates are evaluated through a thorough, human-led review by our recruiting team. A NOTICE ABOUT RECRUITMENT SCAMS Please be aware that scammers are posing as us in order to get your personal details or money. We only communicate via @cradle.bio http://cradle.bio email addresses, we only make job offers after having met you in person at our office in Zurich or Amsterdam, and we never ask you to pay for anything during the interview process.
Technical Support Engineer II - W&B EMEA
CoreWeave is The Essential Cloud for AI™. Built for pioneers by pioneers, CoreWeave delivers a platform of technology, tools, and teams that enables innovators to build and scale AI with confidence. Trusted by leading AI labs, startups, and global enterprises, CoreWeave combines superior infrastructure performance with deep technical expertise to accelerate breakthroughs and turn compute into capability. Founded in 2017, CoreWeave became a publicly traded company (Nasdaq: CRWV) in March 2025. Learn more at www.coreweave.com . What You’ll Do: Support is a deep part of our culture here at Weights And Biases by CoreWeave. We believe that the best way to build a great product is to listen to real users and follow their lead to shape our priorities and roadmap. In this role, you will work on a diverse set of problems in a fast-moving environment, collaborate cross-functionally with our team to support our users, and help shape our product. Your main goal will be to quickly get answers to all user messages. Customers write in with highly technical questions, suggestions, or bug reports, and we need to give them timely responses to fulfill SLAs. Ideally, we're looking for someone with technical skills who would like to support our customer base. If you've found yourself wanting to be more external but still build programming/machine learning skills, this is the role for you. About the role: - Quickly respond to all inbound support requests, including email, live chat, and community forums - Triage bugs and requests based on customer type and severity of issue - Track inbound and outbound responses to ensure contact SLAs are being met - Maintain a fast response time for entire user base - Collaborate with the engineering and product team when troubleshooting issues and providing feedback on features - Recognize trends in user messages to help identify areas of improvement in internal or external documentation - Learn Weights & Biases’ product features and build up knowledge base to resolve issues on your own - Participate in a 24/7 on-call rotation to provide support during weekends - This role requires that you will be working in our office in central London 3 - 5 days per week Who You Are: - 2+ Programming experience, from either an engineering role, a computer science degree, or personal projects - Python proficiency - Experience using any of the following: Keras, Tensorborad, Tensorflow, Pytorch, Pytorch Lightning, Jupyter notebooks, colabs, matplotlib and other ML frameworks and tools - A passion for connecting with real users and enabling them to be power users of the product - Good organization of assigned requests to oversee timely follow-up for every message - Work autonomously in a self-directed environment - Proactively find ways to improve processes and collaborate internally - Answer messages with a kind, thoughtful tone that makes users feel appreciated and connected to our team - Interest in machine learning Preferred: - Previous experience in machine learning - Customer service experience in a technical SaaS environment - Experience in frontend frameworks - Experience with Docker, AWS, GCP, Azure - Experience with Kubernetes or other cloud infrastructures Wondering if you’re a good fit? We believe in investing in our people, and value candidates who can bring their own diversified experiences to our teams – even if you aren't a 100% skill or experience match. Why Us? We work hard, have fun, and move fast! We’re in an exciting stage of hyper-growth that you will not want to miss out on. We’re not afraid of a little chaos, and we’re constantly learning. Our team cares deeply about how we build our product and how we work together, which is represented through our core values: - Be Curious at Your Core - Act Like an Owner - Empower Employees - Deliver Best-in-Class Client Experiences - Achieve More Together We support and encourage an entrepreneurial outlook and independent thinking. We foster an environment that encourages collaboration and provides the opportunity to develop innovative solutions to complex problems. As we get set for take off, the growth opportunities within the organization are constantly expanding. You will be surrounded by some of the best talent in the industry, who will want to learn from you, too. Come join us! The starting salary will be determined by job-related knowledge, skills, experience, and the market location. We strive for both market alignment and internal equity when determining compensation. In addition to base salary, our total rewards package includes a discretionary bonus, equity awards, and a comprehensive benefits program (all based on eligibility). What We Offer The range we’ve posted represents the typical compensation range for this role. To determine actual compensation, we review the market rate for each candidate which can include a variety of factors. These include qualifications, experience, interview performance, and location. In addition to a competitive salary, we offer a variety of benefits to support your needs. The benefits below reflect our US-based offerings for full-time employees; for roles in other locations, benefits vary and are shared during the hiring process. These include: - Medical, dental, and vision insurance - 100% paid for by CoreWeave - Company-paid Life Insurance - Voluntary supplemental life insurance - Short and long-term disability insurance - Flexible Spending Account - Health Savings Account - Tuition Reimbursement - Ability to Participate in Employee Stock Purchase Program (ESPP) - Mental Wellness Benefits through Spring Health - Family-Forming support provided by Carrot - Paid Parental Leave - Flexible, full-service childcare support with Kinside - 401(k) with a generous employer match - Flexible PTO - Catered lunch each day in our office and data center locations - A casual work environment - A work culture focused on innovative disruption California Applicants California Consumer Privacy Act Equal Opportunity & Accommodations CoreWeave is an equal opportunity employer, committed to fostering an inclusive and supportive workplace. All qualified applicants and candidates will receive consideration for employment without regard to race, color, religion, sex, disability, age, sexual orientation, gender identity, national origin, veteran status, or genetic information. As part of this commitment and consistent with the Americans with Disabilities Act (ADA) , CoreWeave will ensure that qualified applicants and candidates with disabilities are provided reasonable accommodations for the hiring process, unless such accommodation would cause an undue hardship. If reasonable accommodation is needed, please contact: careers@coreweave.com . Export Control Compliance This position requires access to export controlled information. To conform to U.S. Government export regulations applicable to that information, applicant must either be (A) a U.S. person, defined as a (i) U.S. citizen or national, (ii) U.S. lawful permanent resident (green card holder), (iii) refugee under 8 U.S.C. § 1157, or (iv) asylee under 8 U.S.C. § 1158, (B) eligible to access the export controlled information without a required export authorization, or (C) eligible and reasonably likely to obtain the required export authorization from the applicable U.S. government agency. CoreWeave may, for legitimate business reasons, decline to pursue any export licensing process.
Technical Support Engineer II - W&B
CoreWeave is The Essential Cloud for AI™. Built for pioneers by pioneers, CoreWeave delivers a platform of technology, tools, and teams that enables innovators to build and scale AI with confidence. Trusted by leading AI labs, startups, and global enterprises, CoreWeave combines superior infrastructure performance with deep technical expertise to accelerate breakthroughs and turn compute into capability. Founded in 2017, CoreWeave became a publicly traded company (Nasdaq: CRWV) in March 2025. Learn more at www.coreweave.com . What You’ll Do: Support is a deep part of our culture here at Weights And Biases by CoreWeave. We believe that the best way to build a great product is to listen to real users and follow their lead to shape our priorities and roadmap. In this role, you will work on a diverse set of problems in a fast-moving environment, collaborate cross-functionally with our team to support our users, and help shape our product. Your main goal will be to quickly get answers to all user messages. Customers write in with highly technical questions, suggestions, or bug reports, and we need to give them timely responses to fulfill SLAs. Ideally, we're looking for someone with technical skills who would like to support our customer base. If you've found yourself wanting to be more external but still build programming/machine learning skills, this is the role for you. About the role: - Quickly respond to all inbound support requests, including email, live chat, and community forums - Triage bugs and requests based on customer type and severity of issue - Track inbound and outbound responses to ensure contact SLAs are being met - Maintain a fast response time for entire user base - Collaborate with the engineering and product team when troubleshooting issues and providing feedback on features - Recognize trends in user messages to help identify areas of improvement in internal or external documentation - Learn Weights & Biases’ product features and build up knowledge base to resolve issues on your own - Participate in a 24/7 on-call rotation to provide support during weekends Who You Are: - 2+ Programming experience, from either an engineering role, a computer science degree, or personal projects - Python proficiency - Experience using any of the following: Keras, Tensorborad, Tensorflow, Pytorch, Pytorch Lightning, Jupyter notebooks, colabs, matplotlib and other ML frameworks and tools - A passion for connecting with real users and enabling them to be power users of the product - Good organization of assigned requests to oversee timely follow-up for every message - Work autonomously in a self-directed environment - Proactively find ways to improve processes and collaborate internally - Answer messages with a kind, thoughtful tone that makes users feel appreciated and connected to our team - Interest in machine learning Preferred: - Previous experience in machine learning - Customer service experience in a technical SaaS environment - Experience in frontend frameworks - Experience with Docker, AWS, GCP, Azure - Experience with Kubernetes or other cloud infrastructures Wondering if you’re a good fit? We believe in investing in our people, and value candidates who can bring their own diversified experiences to our teams – even if you aren't a 100% skill or experience match. Why Us? We work hard, have fun, and move fast! We’re in an exciting stage of hyper-growth that you will not want to miss out on. We’re not afraid of a little chaos, and we’re constantly learning. Our team cares deeply about how we build our product and how we work together, which is represented through our core values: - Be Curious at Your Core - Act Like an Owner - Empower Employees - Deliver Best-in-Class Client Experiences - Achieve More Together We support and encourage an entrepreneurial outlook and independent thinking. We foster an environment that encourages collaboration and provides the opportunity to develop innovative solutions to complex problems. As we get set for take off, the growth opportunities within the organization are constantly expanding. You will be surrounded by some of the best talent in the industry, who will want to learn from you, too. Come join us! The base salary range for this role is $99,000 to $145,000. The starting salary will be determined based on job-related knowledge, skills, experience, and market location. We strive for both market alignment and internal equity when determining compensation. In addition to base salary, our total rewards package includes a discretionary bonus, equity awards, and a comprehensive benefits program (all based on eligibility). What We Offer The range we’ve posted represents the typical compensation range for this role. To determine actual compensation, we review the market rate for each candidate which can include a variety of factors. These include qualifications, experience, interview performance, and location. In addition to a competitive salary, we offer a variety of benefits to support your needs. The benefits below reflect our US-based offerings for full-time employees; for roles in other locations, benefits vary and are shared during the hiring process. These include: - Medical, dental, and vision insurance - 100% paid for by CoreWeave - Company-paid Life Insurance - Voluntary supplemental life insurance - Short and long-term disability insurance - Flexible Spending Account - Health Savings Account - Tuition Reimbursement - Ability to Participate in Employee Stock Purchase Program (ESPP) - Mental Wellness Benefits through Spring Health - Family-Forming support provided by Carrot - Paid Parental Leave - Flexible, full-service childcare support with Kinside - 401(k) with a generous employer match - Flexible PTO - Catered lunch each day in our office and data center locations - A casual work environment - A work culture focused on innovative disruption California Applicants California Consumer Privacy Act Equal Opportunity & Accommodations CoreWeave is an equal opportunity employer, committed to fostering an inclusive and supportive workplace. All qualified applicants and candidates will receive consideration for employment without regard to race, color, religion, sex, disability, age, sexual orientation, gender identity, national origin, veteran status, or genetic information. As part of this commitment and consistent with the Americans with Disabilities Act (ADA) , CoreWeave will ensure that qualified applicants and candidates with disabilities are provided reasonable accommodations for the hiring process, unless such accommodation would cause an undue hardship. If reasonable accommodation is needed, please contact: careers@coreweave.com . Export Control Compliance This position requires access to export controlled information. To conform to U.S. Government export regulations applicable to that information, applicant must either be (A) a U.S. person, defined as a (i) U.S. citizen or national, (ii) U.S. lawful permanent resident (green card holder), (iii) refugee under 8 U.S.C. § 1157, or (iv) asylee under 8 U.S.C. § 1158, (B) eligible to access the export controlled information without a required export authorization, or (C) eligible and reasonably likely to obtain the required export authorization from the applicable U.S. government agency. CoreWeave may, for legitimate business reasons, decline to pursue any export licensing process.
Technical Support Engineer II
CoreWeave is The Essential Cloud for AI™. Built for pioneers by pioneers, CoreWeave delivers a platform of technology, tools, and teams that enables innovators to build and scale AI with confidence. Trusted by leading AI labs, startups, and global enterprises, CoreWeave combines superior infrastructure performance with deep technical expertise to accelerate breakthroughs and turn compute into capability. Founded in 2017, CoreWeave became a publicly traded company (Nasdaq: CRWV) in March 2025. Learn more at www.coreweave.com . What You’ll Do: Support is a deep part of our culture here at W&B by CoreWeave. We believe that the best way to build a great product is to listen to real users and follow their lead to shape our priorities and roadmap. In this role, you will work on a diverse set of problems in a fast-moving environment, collaborate cross-functionally with our team to support our users, and help shape our product. Your main goal will be to quickly get answers to all user messages. Customers write in with highly technical questions, suggestions, or bug reports, and we need to give them timely responses to fulfill SLAs. Ideally, we're looking for someone with technical skills who would like to support our customer base. If you've found yourself wanting to be more external but still build programming/machine learning skills, this is the role for you. About the role: - Quickly respond to all inbound support requests, including email, live chat, and community forums - Triage bugs and requests based on customer type and severity of issue - Track inbound and outbound responses to ensure contact SLAs are being met - Maintain a fast response time for entire user base - Collaborate with the engineering and product team when troubleshooting issues and providing feedback on features - Recognize trends in user messages to help identify areas of improvement in internal or external documentation - Learn W&B’s product features and build up knowledge base to resolve issues on your own - Participate in a 24/7 on-call rotation to provide support during weekends Who You Are: - 2+ Programming experience, from either an engineering role, a computer science degree, or personal projects - Python proficiency - Experience using any of the following: Keras, Tensorborad, Tensorflow, Pytorch, Pytorch Lightning, Jupyter notebooks, colabs, matplotlib and other ML frameworks and tools - Native Japanesse speaker - A passion for connecting with real users and enabling them to be power users of the product - Good organization of assigned requests to oversee timely follow-up for every message - Work autonomously in a self-directed environment - Proactively find ways to improve processes and collaborate internally - Answer messages with a kind, thoughtful tone that makes users feel appreciated and connected to our team - Interest in machine learning Preferred: - Previous experience in machine learning - Customer service experience in a technical SaaS environment - Experience in frontend frameworks - Experience with Docker, AWS, GCP, Azure - Experience with Kubernetes or other cloud infrastructures Wondering if you’re a good fit? We believe in investing in our people, and value candidates who can bring their own diversified experiences to our teams – even if you aren't a 100% skill or experience match. Why Us? We work hard, have fun, and move fast! We’re in an exciting stage of hyper-growth that you will not want to miss out on. We’re not afraid of a little chaos, and we’re constantly learning. Our team cares deeply about how we build our product and how we work together, which is represented through our core values: - Be Curious at Your Core - Act Like an Owner - Empower Employees - Deliver Best-in-Class Client Experiences - Achieve More Together We support and encourage an entrepreneurial outlook and independent thinking. We foster an environment that encourages collaboration and provides the opportunity to develop innovative solutions to complex problems. As we get set for take off, the growth opportunities within the organization are constantly expanding. You will be surrounded by some of the best talent in the industry, who will want to learn from you, too. Come join us! The starting salary will be determined by job-related knowledge, skills, experience, and the market location. We strive for both market alignment and internal equity when determining compensation. In addition to base salary, our total rewards package includes a discretionary bonus, equity awards, and a comprehensive benefits program (all based on eligibility). What We Offer The range we’ve posted represents the typical compensation range for this role. To determine actual compensation, we review the market rate for each candidate which can include a variety of factors. These include qualifications, experience, interview performance, and location. In addition to a competitive salary, we offer a variety of benefits to support your needs. The benefits below reflect our US-based offerings for full-time employees; for roles in other locations, benefits vary and are shared during the hiring process. These include: - Medical, dental, and vision insurance - 100% paid for by CoreWeave - Company-paid Life Insurance - Voluntary supplemental life insurance - Short and long-term disability insurance - Flexible Spending Account - Health Savings Account - Tuition Reimbursement - Ability to Participate in Employee Stock Purchase Program (ESPP) - Mental Wellness Benefits through Spring Health - Family-Forming support provided by Carrot - Paid Parental Leave - Flexible, full-service childcare support with Kinside - 401(k) with a generous employer match - Flexible PTO - Catered lunch each day in our office and data center locations - A casual work environment - A work culture focused on innovative disruption California Applicants California Consumer Privacy Act Equal Opportunity & Accommodations CoreWeave is an equal opportunity employer, committed to fostering an inclusive and supportive workplace. All qualified applicants and candidates will receive consideration for employment without regard to race, color, religion, sex, disability, age, sexual orientation, gender identity, national origin, veteran status, or genetic information. As part of this commitment and consistent with the Americans with Disabilities Act (ADA) , CoreWeave will ensure that qualified applicants and candidates with disabilities are provided reasonable accommodations for the hiring process, unless such accommodation would cause an undue hardship. If reasonable accommodation is needed, please contact: careers@coreweave.com . Export Control Compliance This position requires access to export controlled information. To conform to U.S. Government export regulations applicable to that information, applicant must either be (A) a U.S. person, defined as a (i) U.S. citizen or national, (ii) U.S. lawful permanent resident (green card holder), (iii) refugee under 8 U.S.C. § 1157, or (iv) asylee under 8 U.S.C. § 1158, (B) eligible to access the export controlled information without a required export authorization, or (C) eligible and reasonably likely to obtain the required export authorization from the applicable U.S. government agency. CoreWeave may, for legitimate business reasons, decline to pursue any export licensing process.
Staff Specialist Field Engineer, Autonomous Vehicl...
CoreWeave is The Essential Cloud for AI™. Built for pioneers by pioneers, CoreWeave delivers a platform of technology, tools, and teams that enables innovators to build and scale AI with confidence. Trusted by leading AI labs, startups, and global enterprises, CoreWeave combines superior infrastructure performance with deep technical expertise to accelerate breakthroughs and turn compute into capability. Founded in 2017, CoreWeave became a publicly traded company (Nasdaq: CRWV) in March 2025. Learn more at www.coreweave.com . What You’ll Do The Physical AI Field Engineering team at CoreWeave deploys AI solutions within enterprise engineering organisations, helping customers realise measurable value from machine learning applications. As we build our presence in Autonomous Vehicles (L4-5), we are seeking a Staff Specialist Field Engineer to establish and lead this vertical. You will define how the team engages with autonomous vehicle customers, set the technical standard for the practice, and lead complex customer engagements from first contact through to embedded deployment and expansion. This role requires genuine depth on both sides of the engagement: you must be credible to the ML engineers, perception researchers and system architects in the room, and capable of building and validating ML solutions independently using our product stack. You will work across CoreWeave’s AI platform (including Monolith, Marimo, and W&B Models) to design and deploy solutions and build customer-facing applications tailored to specific autonomous vehicle use cases. A core part of this role is building and iterating on customer-facing applications using the CoreWeave product stack tailored to specific engineering use cases. These applications are the product the customer uses; you are not just deploying tools but building at the product edge. You will gather and synthesise signals from real customer deployments, identifying where customer needs are consistent enough across accounts to inform development of standalone capabilities. You will contribute to the wider Field Engineering team’s Physical AI knowledge framework and provide critical signals of what customers need in the field and what ultimately gets built in the product. Who You Are - 8+ years experience in autonomous vehicle systems development, perception engineering, motion planning, or AI/ML for L4-5 autonomous systems. - Deep familiarity with autonomous vehicle sensor modalities (camera, LiDAR, radar) and their data characteristics including the long-tail distribution and edge case challenges central to L4-5 development. - Hands-on ML capability: able to build, validate, and deploy ML solutions independently in Python using modern ML frameworks. - Proficient in working directly in JupyterHub, VS Code, Marimo, and W&B Models to build and deploy customer-facing applications. - Working knowledge of ML approaches relevant to autonomous systems: perception, object detection, motion prediction, closed-loop simulation, or anomaly detection in autonomous system logs. - Able to validate ML solutions on engineering grounds and identify when a result is inconsistent with the physical or safety constraints of the domain. - Proven experience leading complex technical customer engagements, managing multi-stakeholder environments, and maintaining executive relationships. - Strong understanding of the autonomous vehicle development pipeline, including closed-loop simulation, scenario-based testing, and data driven approaches to safety case validation. - Able to translate field observations into structured product signals that are actionable for an engineering team. - Bachelor’s or Master’s degree in Electrical Engineering, Systems Engineering, Computer Science, Physics, or a related technical discipline. Preferred - Knowledge of functional safety standards including ISO 26262 and SOTIF. - Experience with simulation environments used in autonomous vehicle development (CARLA, LGSVL or similar). - Familiarity with edge deployment of ML models in constrained or safety-critical environments. - Experience identifying and progressing expansion opportunities within strategic customer accounts. - Track record of contributing to internal knowledge frameworks, technical publications, or industry forums in the autonomous vehicles space. - Experience working alongside or within an AI infrastructure or MLOps environment. Wondering if you’re a good fit? We believe in investing in our people, and value candidates who can bring their own diversified experiences to our teams — even if you aren’t a 100% skill or experience match. Here are a few qualities we’ve found compatible with our team. If some of this describes you, we’d love to talk. - You are equally comfortable discussing perception algorithm design and long-tail edge case coverage with ML engineers as you are discussing system safety architecture with systems engineers and you know that the most valuable insight often sits at that boundary. - You want to build AI solutions that are deployed in real engineering environments, not demonstrated in notebooks. - You find the unsolved problem of building autonomous systems that reliably handle the long-tail of real word edge cases to be a genuinely interesting technical problem. - You want to bring your autonomous vehicle domain expertise into a team that already knows how to land and expand AI solutions with engineering customers, and you see being the domain authority that opens a new vertical as a genuinely compelling opportunity. The base salary range for this role is $177,000 to $237,000. The starting salary will be determined based on job-related knowledge, skills, experience, and market location. We strive for both market alignment and internal equity when determining compensation. In addition to base salary, our total rewards package includes a discretionary bonus, equity awards, and a comprehensive benefits program (all based on eligibility). What We Offer The range we’ve posted represents the typical compensation range for this role. To determine actual compensation, we review the market rate for each candidate which can include a variety of factors. These include qualifications, experience, interview performance, and location. In addition to a competitive salary, we offer a variety of benefits to support your needs. The benefits below reflect our US-based offerings for full-time employees; for roles in other locations, benefits vary and are shared during the hiring process. These include: - Medical, dental, and vision insurance - 100% paid for by CoreWeave - Company-paid Life Insurance - Voluntary supplemental life insurance - Short and long-term disability insurance - Flexible Spending Account - Health Savings Account - Tuition Reimbursement - Ability to Participate in Employee Stock Purchase Program (ESPP) - Mental Wellness Benefits through Spring Health - Family-Forming support provided by Carrot - Paid Parental Leave - Flexible, full-service childcare support with Kinside - 401(k) with a generous employer match - Flexible PTO - Catered lunch each day in our office and data center locations - A casual work environment - A work culture focused on innovative disruption California Applicants California Consumer Privacy Act Equal Opportunity & Accommodations CoreWeave is an equal opportunity employer, committed to fostering an inclusive and supportive workplace. All qualified applicants and candidates will receive consideration for employment without regard to race, color, religion, sex, disability, age, sexual orientation, gender identity, national origin, veteran status, or genetic information. As part of this commitment and consistent with the Americans with Disabilities Act (ADA) , CoreWeave will ensure that qualified applicants and candidates with disabilities are provided reasonable accommodations for the hiring process, unless such accommodation would cause an undue hardship. If reasonable accommodation is needed, please contact: careers@coreweave.com . Export Control Compliance This position requires access to export controlled information. To conform to U.S. Government export regulations applicable to that information, applicant must either be (A) a U.S. person, defined as a (i) U.S. citizen or national, (ii) U.S. lawful permanent resident (green card holder), (iii) refugee under 8 U.S.C. § 1157, or (iv) asylee under 8 U.S.C. § 1158, (B) eligible to access the export controlled information without a required export authorization, or (C) eligible and reasonably likely to obtain the required export authorization from the applicable U.S. government agency. CoreWeave may, for legitimate business reasons, decline to pursue any export licensing process.
Solution Specialist, Data Services
CoreWeave is The Essential Cloud for AI™. Built for pioneers by pioneers, CoreWeave delivers a platform of technology, tools, and teams that enables innovators to build and scale AI with confidence. Trusted by leading AI labs, startups, and global enterprises, CoreWeave combines superior infrastructure performance with deep technical expertise to accelerate breakthroughs and turn compute into capability. Founded in 2017, CoreWeave became a publicly traded company (Nasdaq: CRWV) in March 2025. Learn more at www.coreweave.com . What You'll Do: CoreWeave is constantly launching new services that change what customers can build on AI infrastructure, and the data layer is one of its most important new frontiers. As a Solution Specialist for Data Services, you are the person who opens that frontier. You identify new market opportunities where data architecture, mobility, and pipeline design unlock GPU adoption, and you drive the initial adoption of CoreWeave's newest data capabilities with the earliest customers across new industries. You turn what you learn in the field into direct input on the product roadmap, and you make the broader sales and solution architecture organization fluent in the value these new services create. About the role: As a Solution Specialist for Data Services, you operate at the leading edge of CoreWeave's go-to-market motion. Your job is not to run an established playbook; it is to create one. You take newly launched data services (high-throughput data movement, plus support for the databases, indexes, and data structures behind AI training, high-concurrency inference, and agentic workloads) into new accounts and new industries, prove their value with the first wave of customers, and establish the repeatable patterns that sales and solution architects use to scale adoption. Along the way you are the field's voice into engineering, translating what early customers need into the priorities that shape CoreWeave's data and storage roadmap. In this role, you will: - Own the commercial and technical strategy for net new customer wins in data infrastructure, where storage architecture, data mobility, and pipeline design are the primary buying triggers. - Drive new business opportunities where data migration complexity, egress costs, or multi-cloud sprawl are the barrier to GPU adoption at scale. - Translate customer requirements around data lakes, vector databases, and high-speed storage tiers into specific product feedback that shapes CoreWeave's storage roadmap. - Develop deal structures, technical playbooks, and benchmark narratives that help sales and SA teams accelerate storage-heavy opportunities. - Engage directly with enterprise buyers as the authoritative voice on data gravity, multi-cloud networking, and the total cost of moving workloads to CoreWeave. - Design the commercial framework for multi-petabyte data pipeline deals, including egress cost modeling and GPU utilization commitments, to support large enterprise closings. - Partner with capacity and infrastructure teams to maintain a competitive edge on storage efficiency, performance, and security across active and prospective customer deployments. Who You Are: - 10+ years of experience in distributed systems, storage engineering, or data architecture, with a track record of applying that expertise to drive customer outcomes and revenue. - 5+ years working with multi-cloud networking and data transfer protocols (S3, rsync, WAN optimization) in a customer-facing or deal-shaping capacity. - Deep working knowledge of storage technologies including NVMe-over-Fabric, POSIX filesystems, and object storage, with the ability to translate that into commercial differentiation. - Experience deploying and tuning large-scale database clusters (SQL, NoSQL, or Vector) and positioning that capability against customer migration and modernization requirements. - Strong understanding of BGP, peering, and high-speed data interconnects as they relate to data gravity, egress cost modeling, and enterprise deal structure. - Familiarity with Kubernetes-native storage orchestration (CSI drivers, persistent volumes) and how it impacts workload portability and platform stickiness. Preferred: - Experience driving new business or shaping product strategy in industries with high-density compute and data needs, such as Financial Services, Biotech and Life Sciences, or Media and Entertainment. - Prior background in technical sales, solution consulting, or product management supporting large-scale enterprise data infrastructure decisions. - Deep understanding of multi-cloud networking architecture and secure data egress and ingress strategies, particularly where compliance and data residency requirements are active deal variables. - Advanced degree in Computer Science or Engineering, or equivalent experience with a demonstrated ability to operate at the intersection of technical architecture and commercial strategy. Wondering if you're a good fit? Wondering if you're a good fit? We believe in investing in our people, and value candidates who can bring their own diversified experiences to our teams, even if you aren't a 100% skill or experience match. Here are a few qualities we've found compatible with our team. If some of this describes you, we'd love to talk. - You love translating boardroom goals into technical reality: you can explain high-level business strategy and low-level data architecture and storage tradeoffs in the same meeting. - You love acting as the bridge: between high-level sales strategy and deep storage and data-pipeline engineering. - You are an expert at navigating "The Room": you have a proven ability to manage complex, multi-stakeholder technical evaluations without losing momentum. Why CoreWeave? At CoreWeave, we work hard, have fun, and move fast! We're in an exciting stage of hyper-growth that you will not want to miss out on. We're not afraid of a little chaos, and we're constantly learning. Our team cares deeply about how we build our product and how we work together, which is represented through our core values: - Be Curious at Your Core - Act Like an Owner - Empower Employees - Deliver Best-in-Class Client Experiences - Achieve More Together We support and encourage an entrepreneurial outlook and independent thinking. We foster an environment that encourages collaboration and enables the development of innovative solutions to complex problems. As we get set for takeoff, the organization's growth opportunities are constantly expanding. You will be surrounded by some of the best talent in the industry, who will want to learn from you, too. Come join us! The base salary range for this role is $207,000 to $275,000. The starting salary will be determined based on job-related knowledge, skills, experience, and market location. We strive for both market alignment and internal equity when determining compensation. In addition to base salary, our total rewards package includes a discretionary bonus, equity awards, and a comprehensive benefits program (all based on eligibility). What We Offer The range we’ve posted represents the typical compensation range for this role. To determine actual compensation, we review the market rate for each candidate which can include a variety of factors. These include qualifications, experience, interview performance, and location. In addition to a competitive salary, we offer a variety of benefits to support your needs. The benefits below reflect our US-based offerings for full-time employees; for roles in other locations, benefits vary and are shared during the hiring process. These include: - Medical, dental, and vision insurance - 100% paid for by CoreWeave - Company-paid Life Insurance - Voluntary supplemental life insurance - Short and long-term disability insurance - Flexible Spending Account - Health Savings Account - Tuition Reimbursement - Ability to Participate in Employee Stock Purchase Program (ESPP) - Mental Wellness Benefits through Spring Health - Family-Forming support provided by Carrot - Paid Parental Leave - Flexible, full-service childcare support with Kinside - 401(k) with a generous employer match - Flexible PTO - Catered lunch each day in our office and data center locations - A casual work environment - A work culture focused on innovative disruption California Applicants California Consumer Privacy Act Equal Opportunity & Accommodations CoreWeave is an equal opportunity employer, committed to fostering an inclusive and supportive workplace. All qualified applicants and candidates will receive consideration for employment without regard to race, color, religion, sex, disability, age, sexual orientation, gender identity, national origin, veteran status, or genetic information. As part of this commitment and consistent with the Americans with Disabilities Act (ADA) , CoreWeave will ensure that qualified applicants and candidates with disabilities are provided reasonable accommodations for the hiring process, unless such accommodation would cause an undue hardship. If reasonable accommodation is needed, please contact: careers@coreweave.com . Export Control Compliance This position requires access to export controlled information. To conform to U.S. Government export regulations applicable to that information, applicant must either be (A) a U.S. person, defined as a (i) U.S. citizen or national, (ii) U.S. lawful permanent resident (green card holder), (iii) refugee under 8 U.S.C. § 1157, or (iv) asylee under 8 U.S.C. § 1158, (B) eligible to access the export controlled information without a required export authorization, or (C) eligible and reasonably likely to obtain the required export authorization from the applicable U.S. government agency. CoreWeave may, for legitimate business reasons, decline to pursue any export licensing process.
Senior Software Engineer I, Inference
CoreWeave is The Essential Cloud for AI™. Built for pioneers by pioneers, CoreWeave delivers a platform of technology, tools, and teams that enables innovators to build and scale AI with confidence. Trusted by leading AI labs, startups, and global enterprises, CoreWeave combines superior infrastructure performance with deep technical expertise to accelerate breakthroughs and turn compute into capability. Founded in 2017, CoreWeave became a publicly traded company (Nasdaq: CRWV) in March 2025. Learn more at www.coreweave.com . What You’ll Do: Senior engineers are area owners who lead designs, raise engineering standards, and deliver measurable improvements to latency, throughput, and reliability across multiple services. You’ll partner with product, orchestration, and hardware teams to evolve our Kubernetes-native inference platform and meet strict P99 SLAs at scale. About the role: - Lead design reviews and drive architecture within the team; decompose multi-service work into clear milestones. - Define and own SLIs/SLOs; ensure post-incident actions land and reliability improves release-over-release. - Implement advanced optimizations (e.g., micro-batch schedulers, speculative decoding, KV-cache reuse) and quantify impact. - Strengthen incident posture: capacity planning, autoscaling policy, graceful degradation, rollback/traffic-shift strategies. - Mentor IC1/IC2 engineers; review cross-team designs and elevate coding/testing standards. - For IC4: own an area spanning multiple services and teams (e.g., request routing & adaptive scheduling, cost-per-token analytics, GPU resource isolation). Who You Are: - IC3: ~3–5 years; IC4: ~5–8 years industry experience building distributed systems or cloud services. - Computer Science or - Strong coding in Python or Go (C++ a plus) and deep familiarity with networked systems and performance. - Hands-on experience with Kubernetes at production scale, CI/CD, and observability stacks (Prometheus, Grafana, OpenTelemetry). - Practical knowledge of inference internals: batching, caching, mixed precision (BF16/FP8), streaming token delivery. - Proven track record improving tail latency (P95/P99) and service reliability through metrics-driven work. - Bachelor’s or Master’s in CS, EE, or related field (or equivalent practical experience). Preferred: - Contributions to inference frameworks (vLLM, Triton, TensorRT-LLM, Ray Serve, TorchServe). - Experience with CUDA kernels, NCCL/SHARP, RDMA/NUMA, or GPU interconnect topologies. - Leading multi-team initiatives or partnering with customers on mission-critical launches. Wondering if you’re a good fit? We believe in investing in our people and value candidates who can bring their diverse experiences to our teams – even if you aren't a 100% skill or experience match. Why CoreWeave? At CoreWeave, we work hard, have fun, and move fast! We’re in an exciting stage of hyper-growth that you will not want to miss out on. We’re not afraid of a little chaos, and we’re constantly learning. Our team cares deeply about how we build our product and how we work together, which is represented through our core values: - Be Curious at Your Core - Act Like an Owner - Empower Employees - Deliver Best-in-Class Client Experiences - Achieve More Together We support and encourage an entrepreneurial outlook and independent thinking. We foster an environment that encourages collaboration and provides the opportunity to develop innovative solutions to complex problems. As we get set for takeoff, the growth opportunities within the organization are constantly expanding. You will be surrounded by some of the best talent in the industry, who will want to learn from you, too. Come join us! The base salary range for this role is $139,000 to $204,000. The starting salary will be determined based on job-related knowledge, skills, experience, and market location. We strive for both market alignment and internal equity when determining compensation. In addition to base salary, our total rewards package includes a discretionary bonus, equity awards, and a comprehensive benefits program (all based on eligibility). What We Offer The range we’ve posted represents the typical compensation range for this role. To determine actual compensation, we review the market rate for each candidate which can include a variety of factors. These include qualifications, experience, interview performance, and location. In addition to a competitive salary, we offer a variety of benefits to support your needs. The benefits below reflect our US-based offerings for full-time employees; for roles in other locations, benefits vary and are shared during the hiring process. These include: - Medical, dental, and vision insurance - 100% paid for by CoreWeave - Company-paid Life Insurance - Voluntary supplemental life insurance - Short and long-term disability insurance - Flexible Spending Account - Health Savings Account - Tuition Reimbursement - Ability to Participate in Employee Stock Purchase Program (ESPP) - Mental Wellness Benefits through Spring Health - Family-Forming support provided by Carrot - Paid Parental Leave - Flexible, full-service childcare support with Kinside - 401(k) with a generous employer match - Flexible PTO - Catered lunch each day in our office and data center locations - A casual work environment - A work culture focused on innovative disruption California Applicants California Consumer Privacy Act Equal Opportunity & Accommodations CoreWeave is an equal opportunity employer, committed to fostering an inclusive and supportive workplace. All qualified applicants and candidates will receive consideration for employment without regard to race, color, religion, sex, disability, age, sexual orientation, gender identity, national origin, veteran status, or genetic information. As part of this commitment and consistent with the Americans with Disabilities Act (ADA) , CoreWeave will ensure that qualified applicants and candidates with disabilities are provided reasonable accommodations for the hiring process, unless such accommodation would cause an undue hardship. If reasonable accommodation is needed, please contact: careers@coreweave.com . Export Control Compliance This position requires access to export controlled information. To conform to U.S. Government export regulations applicable to that information, applicant must either be (A) a U.S. person, defined as a (i) U.S. citizen or national, (ii) U.S. lawful permanent resident (green card holder), (iii) refugee under 8 U.S.C. § 1157, or (iv) asylee under 8 U.S.C. § 1158, (B) eligible to access the export controlled information without a required export authorization, or (C) eligible and reasonably likely to obtain the required export authorization from the applicable U.S. government agency. CoreWeave may, for legitimate business reasons, decline to pursue any export licensing process.
Senior Software Engineer I
CoreWeave is The Essential Cloud for AI™. Built for pioneers by pioneers, CoreWeave delivers a platform of technology, tools, and teams that enables innovators to build and scale AI with confidence. Trusted by leading AI labs, startups, and global enterprises, CoreWeave combines superior infrastructure performance with deep technical expertise to accelerate breakthroughs and turn compute into capability. Founded in 2017, CoreWeave became a publicly traded company (Nasdaq: CRWV) in March 2025. Learn more at www.coreweave.com . What You’ll Do: Applications Engineering, part of CoreWeave’s Data Infrastructure organization, builds the software CoreWeave uses to plan and operate its own infrastructure business. Some of that is UNION, our data platform, where anyone in the company can query the lakehouse in plain language and stand up their own dashboards, applications, and agents. The rest is the applications behind decisions like which data centers get which hardware and when, for a company adding gigawatts of capacity a year. Engineering, finance, supply chain, and data center operations all depend on what we ship. About the role: You will build full-stack applications, and features in UNION itself, and own all of it in production, from the interface down to the data model. Our stack is TypeScript with React and Next.js, Python services running on Kubernetes, and Postgres alongside the lakehouse. We care more that you have built and run this kind of software than which frameworks you built it in. A good share of the work is AI-facing, meaning natural language interfaces and agents that operate on governed data, plus the evaluation work that tells you whether they are any good. Owning a product area here means you sit with the people who run the process and work out with them what the software should do. You are also the one who answers for it when it breaks. Most of these processes have never been written down anywhere, so a fair amount of the job is working out what to build before you build it. Who You Are: - 5+ years building and operating production software, including both backend services and modern web frontends - Strong Python and TypeScript, with real experience in React, Next.js, or a comparable modern framework - Experience designing and running HTTP APIs that other services depend on, including timeouts, retries, and keeping writes correct when a call fails partway through - Strong SQL and relational data modeling, including schemas you had to change after they were already live - Experience shipping LLM-backed features to production, including how you measured whether their output was correct - Hands-on experience with containers and deployment tooling such as Docker, Helm, and Kubernetes, and with operating your own services - Experience wiring applications up to data platforms and analytical databases such as Spark, Kafka, StarRocks, or Snowflake - CI/CD, automated testing, observability, and on-call for the software you own - Experience working directly with non-engineers on problems nobody had specified yet, and shipping software they adopted Preferred: - Experience building AI-native applications such as text-to-SQL interfaces, copilots, agents, or automated insight generation - Experience with agent frameworks such as LangGraph, and with the tracing and evaluation tooling around them - Experience designing and running distributed systems in cloud-native environments such as Kubernetes - Familiarity with open table formats such as Iceberg, Delta, or Hudi, and with query engines such as StarRocks, Snowflake, or BigQuery - Experience building internal platforms or tools that other teams used to answer their own questions - Background in an operationally heavy domain such as capacity planning, supply chain, or finance Wondering if you’re a good fit? We believe in investing in our people, and value candidates who can bring their own diversified experiences to our teams – even if you aren't a 100% skill or experience match. Here are a few qualities we’ve found compatible with our team. If some of this describes you, we’d love to talk. - You want the people using your software to be people you know by name, and you take it personally when it gets in their way - You want a product area that is yours to own end to end, from the first conversation with a user to the thing running in production - You work well at speed. Priorities here move with the business, and the problems worth solving tend to arrive on short notice - You want to know whether the AI in your product is any good, and you will build the evals to find out - You stand behind what you ship, whether you wrote it or a model helped you write it Why CoreWeave? At CoreWeave, we work hard, have fun, and move fast! We’re in an exciting stage of hyper-growth that you will not want to miss out on. We’re not afraid of a little chaos, and we’re constantly learning. Our team cares deeply about how we build our product and how we work together, which is represented through our core values: - Be Curious at Your Core - Act Like an Owner - Empower Employees - Deliver Best-in-Class Client Experiences - Achieve More Together We support and encourage an entrepreneurial outlook and independent thinking. We foster an environment that encourages collaboration and provides the opportunity to develop innovative solutions to complex problems. As we get set for take off, the growth opportunities within the organization are constantly expanding. You will be surrounded by some of the best talent in the industry, who will want to learn from you, too. Come join us! The base salary range for this role is $153,000 to $204,000. The starting salary will be determined based on job-related knowledge, skills, experience, and market location. We strive for both market alignment and internal equity when determining compensation. In addition to base salary, our total rewards package includes a discretionary bonus, equity awards, and a comprehensive benefits program (all based on eligibility). What We Offer The range we’ve posted represents the typical compensation range for this role. To determine actual compensation, we review the market rate for each candidate which can include a variety of factors. These include qualifications, experience, interview performance, and location. In addition to a competitive salary, we offer a variety of benefits to support your needs. The benefits below reflect our US-based offerings for full-time employees; for roles in other locations, benefits vary and are shared during the hiring process. These include: - Medical, dental, and vision insurance - 100% paid for by CoreWeave - Company-paid Life Insurance - Voluntary supplemental life insurance - Short and long-term disability insurance - Flexible Spending Account - Health Savings Account - Tuition Reimbursement - Ability to Participate in Employee Stock Purchase Program (ESPP) - Mental Wellness Benefits through Spring Health - Family-Forming support provided by Carrot - Paid Parental Leave - Flexible, full-service childcare support with Kinside - 401(k) with a generous employer match - Flexible PTO - Catered lunch each day in our office and data center locations - A casual work environment - A work culture focused on innovative disruption California Applicants California Consumer Privacy Act Equal Opportunity & Accommodations CoreWeave is an equal opportunity employer, committed to fostering an inclusive and supportive workplace. All qualified applicants and candidates will receive consideration for employment without regard to race, color, religion, sex, disability, age, sexual orientation, gender identity, national origin, veteran status, or genetic information. As part of this commitment and consistent with the Americans with Disabilities Act (ADA) , CoreWeave will ensure that qualified applicants and candidates with disabilities are provided reasonable accommodations for the hiring process, unless such accommodation would cause an undue hardship. If reasonable accommodation is needed, please contact: careers@coreweave.com . Export Control Compliance This position requires access to export controlled information. To conform to U.S. Government export regulations applicable to that information, applicant must either be (A) a U.S. person, defined as a (i) U.S. citizen or national, (ii) U.S. lawful permanent resident (green card holder), (iii) refugee under 8 U.S.C. § 1157, or (iv) asylee under 8 U.S.C. § 1158, (B) eligible to access the export controlled information without a required export authorization, or (C) eligible and reasonably likely to obtain the required export authorization from the applicable U.S. government agency. CoreWeave may, for legitimate business reasons, decline to pursue any export licensing process.
Senior Manager, Account Solutions Architecture Eng...
CoreWeave is The Essential Cloud for AI™. Built for pioneers by pioneers, CoreWeave delivers a platform of technology, tools, and teams that enables innovators to build and scale AI with confidence. Trusted by leading AI labs, startups, and global enterprises, CoreWeave combines superior infrastructure performance with deep technical expertise to accelerate breakthroughs and turn compute into capability. Founded in 2017, CoreWeave became a publicly traded company (Nasdaq: CRWV) in March 2025. Learn more at www.coreweave.com . What You'll Do: Our Solutions Architecture team at Weights & Biases is a unique hybrid organization, combining the deep technical skills of Site Reliability Engineering with the consultative expertise of Solutions Architecture. We focus on ensuring customers can successfully deploy and operate W&B across cloud and on-prem environments while delivering a best-in-class experience that accelerates ML adoption at scale. The team is the last technical mile between a signed contract and a customer training models in production — and increasingly, the team that decides how fast that happens. About the Role: As Manager / Senior Manager, Solutions Architecture, you'll lead the Solutions Architects who own our most complex customer deployments across AWS, GCP, Azure, and on-prem environments in [REGION]. This is a player-coach role: you'll keep your hands on the work — architecture reviews, critical escalations, the occasional deployment you run yourself — while building the team and the systems that scale past you. You'll own hiring and ramp in region, coverage across accounts and time zones, and the standard for how deployments get executed and documented. You'll be the technical escalation point for customer infrastructure failures and the person regional Sales and Field Engineering leadership come to when a deal turns on a technical outcome. And you'll convert recurring customer pain into roadmap input and reusable assets — reference architectures, runbooks, automation, and enablement your team delivers in the field. - Lead and grow a team of Solutions Architects covering [REGION], including hiring, onboarding, ramp plans, and performance management - Stay hands-on in customer environments — architecture reviews, deployment escalations, and root-cause analysis on Kubernetes, networking, storage, and cloud infrastructure issues - Own the regional coverage model: account assignment, on-call, escalation paths, and response expectations across time zones - Partner with Sales Engineering, Field Engineering, and Support leadership on pre-sales technical validation, deployment planning, and post-sales adoption - Drive leverage: turn repeat issues into reference architectures, Terraform and Helm assets, runbooks, and enablement content instead of repeat escalations - Deliver and coach the team on technical workshops, demos, and customer enablement sessions - Feed structured field evidence into Product and Engineering to influence roadmap and deployment tooling priorities Who You Are: - 3+ years managing a customer-facing technical team (Solutions Architecture, SRE, TAM, professional services, or field engineering) with direct hiring and performance-management responsibility — 5+ years for Senior Manager - 7+ years total hands-on infrastructure, platform, or SRE experience — 10+ for Senior Manager - Demonstrated track record of systematically diagnosing and resolving production infrastructure issues in customer-owned environments - Hands-on expertise with Docker, Kubernetes, and Helm charts, plus networking fundamentals (DNS, TLS, ingress, load balancing, proxies) and cloud-managed services (e.g., MySQL, object stores) - Production experience with Infrastructure as Code, preferably Terraform - Proficiency with at least one cloud platform (AWS, GCP, Azure); working knowledge of more than one is a plus - Strong Linux/Unix command line experience - Working proficiency in Python and familiarity with ML workflows or tooling - Experience supporting both multi-tenant SaaS and customer-managed / on-prem deployments of the same product - Demonstrated experience delivering technical workshops, demos, or enablement sessions to customer engineering teams Preferred: - Deep proficiency in Kubernetes design patterns, including Operators and CRDs - Experience building a regional technical team from a small headcount into a durable function with defined coverage, on-call, and ramp - Familiarity with data engineering and MLOps tooling (e.g., Ray, Kubeflow, Slurm, Airflow, SageMaker, Vertex AI) - Experience with GPU infrastructure and distributed training workloads - SaaS, web service, or distributed systems operations experience at scale - Experience with air-gapped, sovereign, or regulated-industry deployments Wondering if you're a good fit? We believe in investing in our people, and value candidates who can bring their own diversified experiences to our teams – even if you aren't a 100% skill or experience match. Here are a few qualities we've found compatible with our team. If some of this describes you, we'd love to talk. - You love diving into infrastructure problems and solving them systematically — and you get more satisfaction from your team solving them than from solving them alone - You're curious about how to scale complex ML systems in production environments - You're an expert in building and running containerized, distributed systems - You'd rather write the runbook once than answer the same escalation five times - You're comfortable being the calm one on a customer bridge call at 2am, and the one who makes sure it doesn't happen again Why Us? We work hard, have fun, and move fast! We're in an exciting stage of hyper-growth that you will not want to miss. We're not afraid of a little chaos, and we're constantly learning. Our team cares deeply about how we build our product and how we work together, which is represented through our core values: - Be Curious at Your Core - Act Like an Owner - Empower Employees - Deliver Best-in-Class Client Experiences - Achieve More Together We support and encourage an entrepreneurial outlook and independent thinking. We foster an environment that encourages collaboration and provides the opportunity to develop innovative solutions to complex problems. As we prepare for takeoff, the growth opportunities within the organization continue to expand. You will be surrounded by some of the best talent in the industry, who will want to learn from you, too. Come join us! The base salary range for this role is $207,000 to $275,000. The starting salary will be determined based on job-related knowledge, skills, experience, and market location. We strive for both market alignment and internal equity when determining compensation. In addition to base salary, our total rewards package includes a discretionary bonus, equity awards, and a comprehensive benefits program (all based on eligibility). LIjobs What We Offer The range we’ve posted represents the typical compensation range for this role. To determine actual compensation, we review the market rate for each candidate which can include a variety of factors. These include qualifications, experience, interview performance, and location. In addition to a competitive salary, we offer a variety of benefits to support your needs. The benefits below reflect our US-based offerings for full-time employees; for roles in other locations, benefits vary and are shared during the hiring process. These include: - Medical, dental, and vision insurance - 100% paid for by CoreWeave - Company-paid Life Insurance - Voluntary supplemental life insurance - Short and long-term disability insurance - Flexible Spending Account - Health Savings Account - Tuition Reimbursement - Ability to Participate in Employee Stock Purchase Program (ESPP) - Mental Wellness Benefits through Spring Health - Family-Forming support provided by Carrot - Paid Parental Leave - Flexible, full-service childcare support with Kinside - 401(k) with a generous employer match - Flexible PTO - Catered lunch each day in our office and data center locations - A casual work environment - A work culture focused on innovative disruption California Applicants California Consumer Privacy Act Equal Opportunity & Accommodations CoreWeave is an equal opportunity employer, committed to fostering an inclusive and supportive workplace. All qualified applicants and candidates will receive consideration for employment without regard to race, color, religion, sex, disability, age, sexual orientation, gender identity, national origin, veteran status, or genetic information. As part of this commitment and consistent with the Americans with Disabilities Act (ADA) , CoreWeave will ensure that qualified applicants and candidates with disabilities are provided reasonable accommodations for the hiring process, unless such accommodation would cause an undue hardship. If reasonable accommodation is needed, please contact: careers@coreweave.com . Export Control Compliance This position requires access to export controlled information. To conform to U.S. Government export regulations applicable to that information, applicant must either be (A) a U.S. person, defined as a (i) U.S. citizen or national, (ii) U.S. lawful permanent resident (green card holder), (iii) refugee under 8 U.S.C. § 1157, or (iv) asylee under 8 U.S.C. § 1158, (B) eligible to access the export controlled information without a required export authorization, or (C) eligible and reasonably likely to obtain the required export authorization from the applicable U.S. government agency. CoreWeave may, for legitimate business reasons, decline to pursue any export licensing process.
Principal Solution Specialist, Core Services
CoreWeave is The Essential Cloud for AI™. Built for pioneers by pioneers, CoreWeave delivers a platform of technology, tools, and teams that enables innovators to build and scale AI with confidence. Trusted by leading AI labs, startups, and global enterprises, CoreWeave combines superior infrastructure performance with deep technical expertise to accelerate breakthroughs and turn compute into capability. Founded in 2017, CoreWeave became a publicly traded company (Nasdaq: CRWV) in March 2025. Learn more at www.coreweave.com . What You'll Do: CoreWeave's core infrastructure (bare-metal GPU compute, high-performance networking, and the Kubernetes platform that ties them together) is constantly evolving, and bringing each new capability to market is where this role lives. As a Principal Solution Specialist for Core Services, you identify the new market opportunities where compute performance, network fabric architecture, and platform reliability unlock adoption, and you drive the first wins for CoreWeave's newest core capabilities with the customers and industries that demand them earliest. You turn field insight into direct input on the compute and networking roadmap, and you make the broader sales and solution architecture teams fluent in the value these services create for new customers. About the role: As a Principal Solution Specialist for Core Services, you operate at the front edge of CoreWeave's go-to-market motion for its foundational infrastructure. Your job is to create the motion, not just run it: you take new and evolving core offerings spanning our Compute (bare-metal and virtualized GPU instances) and Networking (high-speed fabrics and interconnects for tight GPU-to-GPU communication) into new accounts and new industries, prove their value with the most demanding early customers, and build the repeatable playbooks sales and solution architects use to scale. You are the field's voice into engineering, translating what early adopters need around cluster topology, RDMA networking, and scheduling into the priorities that shape CoreWeave's compute and networking roadmap. In this role, you will: - Own the commercial and technical strategy for net new customer wins in core AI infrastructure, where GPU compute performance, cluster networking, and platform reliability are the primary buying triggers. - Drive new business opportunities where compute bottlenecks, network bandwidth limitations, or bare-metal performance requirements are the barrier to scaling AI training and inference workloads on CoreWeave. - Translate customer requirements around GPU cluster topology, RDMA networking (InfiniBand, RoCE), and Kubernetes scheduling into specific product feedback that shapes CoreWeave's compute and networking roadmap. - Develop deal structures, technical playbooks, and benchmark narratives that help sales and SA teams accelerate compute-heavy and networking-sensitive opportunities. - Engage directly with enterprise and research buyers as the authoritative voice on GPU cluster architecture, network fabric design, and the performance tradeoffs between instance types and topologies. - Design the commercial framework for large-scale GPU reservation deals, including MFU modeling, cluster sizing, and network bandwidth commitments that support large enterprise closings. - Partner with capacity, infrastructure, and networking teams to maintain a competitive edge on compute density, interconnect performance, and platform reliability across active and prospective customer deployments. Who You Are: - 10+ years of experience in HPC, data center infrastructure, or GPU cluster engineering, with a track record of applying that expertise to drive customer outcomes and revenue. - 5+ years working with large-scale GPU clusters (NVIDIA A100/H100/H200 or AMD MI300X), RDMA networking, and distributed training frameworks in a customer-facing or deal-shaping capacity. - Deep working knowledge of high-speed network fabrics (InfiniBand, RoCE, and NVLink) and how interconnect topology, bandwidth, and latency impact distributed training and inference at scale. - Experience deploying and tuning large-scale Kubernetes clusters for GPU workloads (NVIDIA GPU Operator, MIG, time-slicing) and positioning platform capabilities against customer performance and scalability requirements. - Strong understanding of compute instance types, CPU-GPU memory bandwidth, NVMe storage tiers, and power and cooling considerations as they relate to workload efficiency and enterprise deal structure. - Familiarity with distributed training frameworks (PyTorch FSDP, Megatron-LM, DeepSpeed) and how cluster architecture decisions impact training throughput, fault tolerance, and overall MFU. - Understanding of BGP, peering, and data center interconnect architectures as they relate to multi-region GPU deployments, data gravity, and enterprise network integration. Preferred: - Experience driving new business or shaping product strategy in industries with extreme compute demands, such as large-scale AI model training, genomics, financial risk modeling, or government and defense HPC. - Prior background in technical sales, solution consulting, or product management supporting large-scale GPU cluster procurement or data center infrastructure decisions. - Deep understanding of GPU cluster procurement economics, reserved vs. on-demand capacity tradeoffs, and the commercial dynamics of large-scale compute commitments. - Advanced degree in Computer Science, Electrical Engineering, or a related field, or equivalent experience with a demonstrated ability to operate at the intersection of technical architecture and commercial strategy. Wondering if you're a good fit? Wondering if you're a good fit? We believe in investing in our people, and value candidates who can bring their own diversified experiences to our teams, even if you aren't a 100% skill or experience match. Here are a few qualities we've found compatible with our team. If some of this describes you, we'd love to talk. - You love translating boardroom goals into technical reality: you can explain high-level business strategy and low-level GPU cluster architecture in the same meeting. - You love acting as the bridge: between high-level sales strategy and deep hardware and networking engineering. - You are an expert at navigating "The Room": you have a proven ability to manage complex, multi-stakeholder technical evaluations without losing momentum. Why CoreWeave? At CoreWeave, we work hard, have fun, and move fast! We're in an exciting stage of hyper-growth that you will not want to miss out on. We're not afraid of a little chaos, and we're constantly learning. Our team cares deeply about how we build our product and how we work together, which is represented through our core values: - Be Curious at Your Core - Act Like an Owner - Empower Employees - Deliver Best-in-Class Client Experiences - Achieve More Together We support and encourage an entrepreneurial outlook and independent thinking. We foster an environment that encourages collaboration and enables the development of innovative solutions to complex problems. As we get set for takeoff, the organization's growth opportunities are constantly expanding. You will be surrounded by some of the best talent in the industry, who will want to learn from you, too. Come join us! The base salary range for this role is $198,000 to $264,000. The starting salary will be determined based on job-related knowledge, skills, experience, and market location. We strive for both market alignment and internal equity when determining compensation. In addition to base salary, our total rewards package includes a discretionary bonus, equity awards, and a comprehensive benefits program (all based on eligibility). What We Offer The range we’ve posted represents the typical compensation range for this role. To determine actual compensation, we review the market rate for each candidate which can include a variety of factors. These include qualifications, experience, interview performance, and location. In addition to a competitive salary, we offer a variety of benefits to support your needs. The benefits below reflect our US-based offerings for full-time employees; for roles in other locations, benefits vary and are shared during the hiring process. These include: - Medical, dental, and vision insurance - 100% paid for by CoreWeave - Company-paid Life Insurance - Voluntary supplemental life insurance - Short and long-term disability insurance - Flexible Spending Account - Health Savings Account - Tuition Reimbursement - Ability to Participate in Employee Stock Purchase Program (ESPP) - Mental Wellness Benefits through Spring Health - Family-Forming support provided by Carrot - Paid Parental Leave - Flexible, full-service childcare support with Kinside - 401(k) with a generous employer match - Flexible PTO - Catered lunch each day in our office and data center locations - A casual work environment - A work culture focused on innovative disruption California Applicants California Consumer Privacy Act Equal Opportunity & Accommodations CoreWeave is an equal opportunity employer, committed to fostering an inclusive and supportive workplace. All qualified applicants and candidates will receive consideration for employment without regard to race, color, religion, sex, disability, age, sexual orientation, gender identity, national origin, veteran status, or genetic information. As part of this commitment and consistent with the Americans with Disabilities Act (ADA) , CoreWeave will ensure that qualified applicants and candidates with disabilities are provided reasonable accommodations for the hiring process, unless such accommodation would cause an undue hardship. If reasonable accommodation is needed, please contact: careers@coreweave.com . Export Control Compliance This position requires access to export controlled information. To conform to U.S. Government export regulations applicable to that information, applicant must either be (A) a U.S. person, defined as a (i) U.S. citizen or national, (ii) U.S. lawful permanent resident (green card holder), (iii) refugee under 8 U.S.C. § 1157, or (iv) asylee under 8 U.S.C. § 1158, (B) eligible to access the export controlled information without a required export authorization, or (C) eligible and reasonably likely to obtain the required export authorization from the applicable U.S. government agency. CoreWeave may, for legitimate business reasons, decline to pursue any export licensing process.
Principal Engineer, Cluster Orchestration
CoreWeave is The Essential Cloud for AI™. Built for pioneers by pioneers, CoreWeave delivers a platform of technology, tools, and teams that enables innovators to build and scale AI with confidence. Trusted by leading AI labs, startups, and global enterprises, CoreWeave combines superior infrastructure performance with deep technical expertise to accelerate breakthroughs and turn compute into capability. Founded in 2017, CoreWeave became a publicly traded company (Nasdaq: CRWV) in March 2025. Learn more at www.coreweave.com . About the Role CoreWeave runs some of the largest GPU clusters in the world. The AI infrastructure behind those clusters determines how workloads are placed, how resources are shared, and how reliably systems perform under constant pressure. As a Principal Engineer in AI Infrastructure, you will lead the design and evolution of the cluster orchestration systems that make this possible. This includes Slurm, Kubernetes, SUNK, and the control planes that support AI training, inference, and model onboarding at scale. You will define long-term architecture, solve hard scaling problems, and set technical direction across teams. Your work will directly affect how quickly customers can run models, how efficiently we use GPUs, and how reliably the platform behaves at scale. What You’ll Do Architecture and Technical Direction - Define the long-term architecture for CoreWeave’s orchestration platforms across Kubernetes, Slurm, SUNK, Kueue, and related systems. - Act as a technical authority on scheduling, quota enforcement, fairness, pre-emption, and multi-tenant GPU isolation. - Make design decisions that balance performance, reliability, cost, and operational complexity. Orchestration Platform Development - Lead the evolution of Kubernetes-native control planes, including SUNK and custom operators. - Design systems that support workload admission, validation, and rollout, including model onboarding flows. - Identify and remove scaling limits across schedulers, control planes, registries, networking, and storage. Reliability and Operations - Set standards for reliability, observability, and operational readiness across orchestration services. - Define SLOs, alerting, and incident response practices for platform-critical systems. - Ensure systems behave predictably during failures, peak load, and rapid growth. Hands-on Engineering - Write and review production code for Kubernetes controllers, schedulers, admission logic, and internal tooling. - Measure and improve scheduling latency, container startup time, image distribution, and cold-start performance. - Lead architecture and design reviews across infrastructure teams. Leadership and Influence - Mentor senior and staff engineers and help grow technical leaders. - Influence platform, infrastructure, security, and product teams through clear technical judgment. - Engage with customers and open-source communities on deep technical topics when needed. Who You Are - 15+ years of experience building and operating large-scale distributed systems. - Deep, practical knowledge of Kubernetes and Slurm internals. - Experience running GPU-heavy platforms for AI training, inference, or HPC workloads. - Strong background in Go and cloud-native systems development. - Proven ability to set technical direction across teams without direct authority. - Comfortable making high-impact technical decisions in complex systems. - Bachelor’s or Master’s degree in a relevant field, or equivalent experience. Preferred Qualifications - Experience with systems such as Kueue, Kubeflow, Argo Workflows, Ray, Istio, or Knative. - Background in ML platform engineering, model onboarding, or lifecycle management. - Strong understanding of scheduling strategies, pre-emption, quota enforcement, and elastic scaling. - Track record of operating highly reliable systems with clear SLOs and incident processes. - Contributions to Kubernetes, ML infrastructure, or related open-source projects. - Experience mentoring senior engineers and raising engineering standards. Is This a Good Fit? You may be a good fit if you enjoy defining long-term architecture, solving deep systems problems, and working close to the hardware layer of AI platforms. This role suits engineers who care about correctness, scale, and operational discipline, and who want their work to directly shape how AI runs in production. Why CoreWeave? At CoreWeave, AI infrastructure is the product. As a Principal Engineer in cluster orchestration, you will be responsible for systems that directly determine how efficiently GPUs are used, how reliably large models run, and how quickly customers can move from research to production. This role puts you at the center of hard problems in scheduling, resource isolation, and large-scale control planes. You will work on systems where small design choices affect thousands of GPUs and real customer workloads. If you care about building infrastructure that runs under constant pressure, scales without shortcuts, and enables the next generation of AI workloads, CoreWeave is a place where your work will matter. The base salary range for this role is $206,000 to $303,000. The starting salary will be determined based on job-related knowledge, skills, experience, and market location. We strive for both market alignment and internal equity when determining compensation. In addition to base salary, our total rewards package includes a discretionary bonus, equity awards, and a comprehensive benefits program (all based on eligibility). What We Offer The range we’ve posted represents the typical compensation range for this role. To determine actual compensation, we review the market rate for each candidate which can include a variety of factors. These include qualifications, experience, interview performance, and location. In addition to a competitive salary, we offer a variety of benefits to support your needs. The benefits below reflect our US-based offerings for full-time employees; for roles in other locations, benefits vary and are shared during the hiring process. These include: - Medical, dental, and vision insurance - 100% paid for by CoreWeave - Company-paid Life Insurance - Voluntary supplemental life insurance - Short and long-term disability insurance - Flexible Spending Account - Health Savings Account - Tuition Reimbursement - Ability to Participate in Employee Stock Purchase Program (ESPP) - Mental Wellness Benefits through Spring Health - Family-Forming support provided by Carrot - Paid Parental Leave - Flexible, full-service childcare support with Kinside - 401(k) with a generous employer match - Flexible PTO - Catered lunch each day in our office and data center locations - A casual work environment - A work culture focused on innovative disruption California Applicants California Consumer Privacy Act Equal Opportunity & Accommodations CoreWeave is an equal opportunity employer, committed to fostering an inclusive and supportive workplace. All qualified applicants and candidates will receive consideration for employment without regard to race, color, religion, sex, disability, age, sexual orientation, gender identity, national origin, veteran status, or genetic information. As part of this commitment and consistent with the Americans with Disabilities Act (ADA) , CoreWeave will ensure that qualified applicants and candidates with disabilities are provided reasonable accommodations for the hiring process, unless such accommodation would cause an undue hardship. If reasonable accommodation is needed, please contact: careers@coreweave.com . Export Control Compliance This position requires access to export controlled information. To conform to U.S. Government export regulations applicable to that information, applicant must either be (A) a U.S. person, defined as a (i) U.S. citizen or national, (ii) U.S. lawful permanent resident (green card holder), (iii) refugee under 8 U.S.C. § 1157, or (iv) asylee under 8 U.S.C. § 1158, (B) eligible to access the export controlled information without a required export authorization, or (C) eligible and reasonably likely to obtain the required export authorization from the applicable U.S. government agency. CoreWeave may, for legitimate business reasons, decline to pursue any export licensing process.
Manager, Account Solutions Architecture Greenfield...
CoreWeave is The Essential Cloud for AI™. Built for pioneers by pioneers, CoreWeave delivers a platform of technology, tools, and teams that enables innovators to build and scale AI with confidence. Trusted by leading AI labs, startups, and global enterprises, CoreWeave combines superior infrastructure performance with deep technical expertise to accelerate breakthroughs and turn compute into capability. Founded in 2017, CoreWeave became a publicly traded company (Nasdaq: CRWV) in March 2025. Learn more at www.coreweave.com . What You'll Do: Our Solutions Architecture team at Weights & Biases is a unique hybrid organization, combining the deep technical skills of Site Reliability Engineering with the consultative expertise of Solutions Architecture. We focus on ensuring customers can successfully deploy and operate W&B across cloud and on-prem environments while delivering a best-in-class experience that accelerates ML adoption at scale. The team is the last technical mile between a signed contract and a customer training models in production — and increasingly, the team that decides how fast that happens. About the Role: As Manager / Senior Manager, Solutions Architecture, you'll lead the Solutions Architects who own our most complex customer deployments across AWS, GCP, Azure, and on-prem environments in [REGION]. This is a player-coach role: you'll keep your hands on the work — architecture reviews, critical escalations, the occasional deployment you run yourself — while building the team and the systems that scale past you. You'll own hiring and ramp in region, coverage across accounts and time zones, and the standard for how deployments get executed and documented. You'll be the technical escalation point for customer infrastructure failures and the person regional Sales and Field Engineering leadership come to when a deal turns on a technical outcome. And you'll convert recurring customer pain into roadmap input and reusable assets — reference architectures, runbooks, automation, and enablement your team delivers in the field. - Lead and grow a team of Solutions Architects covering [REGION], including hiring, onboarding, ramp plans, and performance management - Stay hands-on in customer environments — architecture reviews, deployment escalations, and root-cause analysis on Kubernetes, networking, storage, and cloud infrastructure issues - Own the regional coverage model: account assignment, on-call, escalation paths, and response expectations across time zones - Partner with Sales Engineering, Field Engineering, and Support leadership on pre-sales technical validation, deployment planning, and post-sales adoption - Drive leverage: turn repeat issues into reference architectures, Terraform and Helm assets, runbooks, and enablement content instead of repeat escalations - Deliver and coach the team on technical workshops, demos, and customer enablement sessions - Feed structured field evidence into Product and Engineering to influence roadmap and deployment tooling priorities Who You Are: - 3+ years managing a customer-facing technical team (Solutions Architecture, SRE, TAM, professional services, or field engineering) with direct hiring and performance-management responsibility — 5+ years for Senior Manager - 7+ years total hands-on infrastructure, platform, or SRE experience — 10+ for Senior Manager - Demonstrated track record of systematically diagnosing and resolving production infrastructure issues in customer-owned environments - Hands-on expertise with Docker, Kubernetes, and Helm charts, plus networking fundamentals (DNS, TLS, ingress, load balancing, proxies) and cloud-managed services (e.g., MySQL, object stores) - Production experience with Infrastructure as Code, preferably Terraform - Proficiency with at least one cloud platform (AWS, GCP, Azure); working knowledge of more than one is a plus - Strong Linux/Unix command line experience - Working proficiency in Python and familiarity with ML workflows or tooling - Experience supporting both multi-tenant SaaS and customer-managed / on-prem deployments of the same product - Demonstrated experience delivering technical workshops, demos, or enablement sessions to customer engineering teams Preferred: - Deep proficiency in Kubernetes design patterns, including Operators and CRDs - Experience building a regional technical team from a small headcount into a durable function with defined coverage, on-call, and ramp - Familiarity with data engineering and MLOps tooling (e.g., Ray, Kubeflow, Slurm, Airflow, SageMaker, Vertex AI) - Experience with GPU infrastructure and distributed training workloads - SaaS, web service, or distributed systems operations experience at scale - Experience with air-gapped, sovereign, or regulated-industry deployments Wondering if you're a good fit? We believe in investing in our people, and value candidates who can bring their own diversified experiences to our teams – even if you aren't a 100% skill or experience match. Here are a few qualities we've found compatible with our team. If some of this describes you, we'd love to talk. - You love diving into infrastructure problems and solving them systematically — and you get more satisfaction from your team solving them than from solving them alone - You're curious about how to scale complex ML systems in production environments - You're an expert in building and running containerized, distributed systems - You'd rather write the runbook once than answer the same escalation five times - You're comfortable being the calm one on a customer bridge call at 2am, and the one who makes sure it doesn't happen again Why Us? We work hard, have fun, and move fast! We're in an exciting stage of hyper-growth that you will not want to miss. We're not afraid of a little chaos, and we're constantly learning. Our team cares deeply about how we build our product and how we work together, which is represented through our core values: - Be Curious at Your Core - Act Like an Owner - Empower Employees - Deliver Best-in-Class Client Experiences - Achieve More Together We support and encourage an entrepreneurial outlook and independent thinking. We foster an environment that encourages collaboration and provides the opportunity to develop innovative solutions to complex problems. As we prepare for takeoff, the growth opportunities within the organization continue to expand. You will be surrounded by some of the best talent in the industry, who will want to learn from you, too. Come join us! The base salary range for this role is $182,000 to $242,000. The starting salary will be determined based on job-related knowledge, skills, experience, and market location. We strive for both market alignment and internal equity when determining compensation. In addition to base salary, our total rewards package includes a discretionary bonus, equity awards, and a comprehensive benefits program (all based on eligibility). LIjobs What We Offer The range we’ve posted represents the typical compensation range for this role. To determine actual compensation, we review the market rate for each candidate which can include a variety of factors. These include qualifications, experience, interview performance, and location. In addition to a competitive salary, we offer a variety of benefits to support your needs. The benefits below reflect our US-based offerings for full-time employees; for roles in other locations, benefits vary and are shared during the hiring process. These include: - Medical, dental, and vision insurance - 100% paid for by CoreWeave - Company-paid Life Insurance - Voluntary supplemental life insurance - Short and long-term disability insurance - Flexible Spending Account - Health Savings Account - Tuition Reimbursement - Ability to Participate in Employee Stock Purchase Program (ESPP) - Mental Wellness Benefits through Spring Health - Family-Forming support provided by Carrot - Paid Parental Leave - Flexible, full-service childcare support with Kinside - 401(k) with a generous employer match - Flexible PTO - Catered lunch each day in our office and data center locations - A casual work environment - A work culture focused on innovative disruption California Applicants California Consumer Privacy Act Equal Opportunity & Accommodations CoreWeave is an equal opportunity employer, committed to fostering an inclusive and supportive workplace. All qualified applicants and candidates will receive consideration for employment without regard to race, color, religion, sex, disability, age, sexual orientation, gender identity, national origin, veteran status, or genetic information. As part of this commitment and consistent with the Americans with Disabilities Act (ADA) , CoreWeave will ensure that qualified applicants and candidates with disabilities are provided reasonable accommodations for the hiring process, unless such accommodation would cause an undue hardship. If reasonable accommodation is needed, please contact: careers@coreweave.com . Export Control Compliance This position requires access to export controlled information. To conform to U.S. Government export regulations applicable to that information, applicant must either be (A) a U.S. person, defined as a (i) U.S. citizen or national, (ii) U.S. lawful permanent resident (green card holder), (iii) refugee under 8 U.S.C. § 1157, or (iv) asylee under 8 U.S.C. § 1158, (B) eligible to access the export controlled information without a required export authorization, or (C) eligible and reasonably likely to obtain the required export authorization from the applicable U.S. government agency. CoreWeave may, for legitimate business reasons, decline to pursue any export licensing process.
Director, Account Solutions Architecture
CoreWeave is The Essential Cloud for AI™. Built for pioneers by pioneers, CoreWeave delivers a platform of technology, tools, and teams that enables innovators to build and scale AI with confidence. Trusted by leading AI labs, startups, and global enterprises, CoreWeave combines superior infrastructure performance with deep technical expertise to accelerate breakthroughs and turn compute into capability. Founded in 2017, CoreWeave became a publicly traded company (Nasdaq: CRWV) in March 2025. Learn more at www.coreweave.com . What You'll Do: Our Solutions Architecture team at Weights & Biases is a unique hybrid organization, combining the deep technical skills of Site Reliability Engineering with the consultative expertise of Solutions Architecture. We focus on ensuring customers can successfully deploy and operate W&B across cloud and on-prem environments while delivering a best-in-class experience that accelerates ML adoption at scale. The team is the last technical mile between a signed contract and a customer training models in production — and increasingly, the team that decides how fast that happens. About the Role: As Director, Solutions Architecture, you'll own the function across [REGION] — the team, the operating model, and the outcomes. You'll lead managers and senior individual contributors responsible for how W&B is deployed and operated in our largest and most complex accounts, across AWS, GCP, Azure, and on-prem and air-gapped environments. Your central problem is leverage: how technical delivery scales without headcount scaling linearly with revenue, through coverage design, automation, reference architectures, partner enablement, and the management layer you build beneath you. You'll be a peer to Sales, Field Engineering, Support, and Product leadership — accountable alongside them for adoption, retention, and expansion in region — and you'll carry the clearest signal we have on customer reality into roadmap and platform investment. Externally, you'll serve as executive technical sponsor for strategic accounts and the face of W&B engineering credibility in [REGION]. - Own Solutions Architecture across [REGION]: strategy, operating model, headcount plan, capacity forecasting, and leveling - Build and develop the management layer — hire and coach managers and team leads rather than remaining the single escalation point - Define how deployments scale: reference architectures, automation and IaC standards, deployment SLAs, and quality bars across sub-regions - Operate as a senior cross-functional partner to Sales, Field Engineering, Support, and Product leadership, jointly accountable for regional adoption, retention, and expansion - Stand up leverage programs that reduce direct delivery load — customer and partner enablement, certification, self-service tooling, and documentation - Serve as executive technical sponsor for strategic accounts, including escalation ownership at the CTO and VP Engineering level - Translate aggregated field evidence into prioritized roadmap and platform investment recommendations with Product and Engineering leadership - Own the regional forecast for technical delivery capacity, including partner-led and services-led models where they apply Who You Are: - 5+ years leading a customer-facing technical organization, including 2+ years managing managers or team leads - 12+ years total experience with a hands-on infrastructure, platform, SRE, or solutions engineering foundation - Demonstrated track record scaling a post-sales or field technical function through a step change in revenue, customer count, or geography — with the coverage, escalation, and SLA model to show for it - Technical depth sufficient to lead an architecture review: Kubernetes, Helm, containerization, networking, storage, and cloud-managed services - Production experience with Infrastructure as Code, preferably Terraform, and with IaC standards adopted across a team - Proficiency across multiple cloud platforms (AWS, GCP, Azure) plus on-prem or self-managed deployment experience - Strong Linux/Unix command line experience - Familiarity with ML workflows, MLOps tooling, and how ML platforms are operated in production - Demonstrated experience owning a headcount plan and capacity model, including build-versus-partner delivery decisions - Demonstrated experience influencing product roadmap with structured, evidenced field input - Experience operating a distributed team across multiple countries and time zones Preferred: - Deep proficiency in Kubernetes design patterns, including Operators and CRDs - Experience building enablement, certification, or partner-delivery programs that measurably reduced direct delivery load - Regulated, sovereign, or air-gapped deployment experience (government, financial services, healthcare, defense) - Experience with GPU infrastructure, large-scale distributed training, and MLOps platform operations - Experience in a developer-tools or infrastructure company selling to engineering and ML platform teams - SaaS, web service, or distributed systems operations experience at scale Wondering if you're a good fit? We believe in investing in our people, and value candidates who can bring their own diversified experiences to our teams – even if you aren't a 100% skill or experience match. Here are a few qualities we've found compatible with our team. If some of this describes you, we'd love to talk. - You love diving into infrastructure problems and solving them systematically — and you build the teams and systems that keep them solved - You're curious about how to scale complex ML systems in production environments - You're an expert in building and running containerized, distributed systems - You think about leverage first: what automation, documentation, or hire makes the next hundred deployments easier - You are comfortable being the technical voice in the room with a customer executive team, and the one who tells Product what they do not want to hear Why Us? We work hard, have fun, and move fast! We're in an exciting stage of hyper-growth that you will not want to miss. We're not afraid of a little chaos, and we're constantly learning. Our team cares deeply about how we build our product and how we work together, which is represented through our core values: - Be Curious at Your Core - Act Like an Owner - Empower Employees - Deliver Best-in-Class Client Experiences - Achieve More Together We support and encourage an entrepreneurial outlook and independent thinking. We foster an environment that encourages collaboration and provides the opportunity to develop innovative solutions to complex problems. As we prepare for takeoff, the growth opportunities within the organization continue to expand. You will be surrounded by some of the best talent in the industry, who will want to learn from you, too. Come join us! The base salary range for this role is $227,000 to $303,000. The starting salary will be determined based on job-related knowledge, skills, experience, and market location. We strive for both market alignment and internal equity when determining compensation. In addition to base salary, our total rewards package includes a discretionary bonus, equity awards, and a comprehensive benefits program (all based on eligibility). LIjobs What We Offer The range we’ve posted represents the typical compensation range for this role. To determine actual compensation, we review the market rate for each candidate which can include a variety of factors. These include qualifications, experience, interview performance, and location. In addition to a competitive salary, we offer a variety of benefits to support your needs. The benefits below reflect our US-based offerings for full-time employees; for roles in other locations, benefits vary and are shared during the hiring process. These include: - Medical, dental, and vision insurance - 100% paid for by CoreWeave - Company-paid Life Insurance - Voluntary supplemental life insurance - Short and long-term disability insurance - Flexible Spending Account - Health Savings Account - Tuition Reimbursement - Ability to Participate in Employee Stock Purchase Program (ESPP) - Mental Wellness Benefits through Spring Health - Family-Forming support provided by Carrot - Paid Parental Leave - Flexible, full-service childcare support with Kinside - 401(k) with a generous employer match - Flexible PTO - Catered lunch each day in our office and data center locations - A casual work environment - A work culture focused on innovative disruption California Applicants California Consumer Privacy Act Equal Opportunity & Accommodations CoreWeave is an equal opportunity employer, committed to fostering an inclusive and supportive workplace. All qualified applicants and candidates will receive consideration for employment without regard to race, color, religion, sex, disability, age, sexual orientation, gender identity, national origin, veteran status, or genetic information. As part of this commitment and consistent with the Americans with Disabilities Act (ADA) , CoreWeave will ensure that qualified applicants and candidates with disabilities are provided reasonable accommodations for the hiring process, unless such accommodation would cause an undue hardship. If reasonable accommodation is needed, please contact: careers@coreweave.com . Export Control Compliance This position requires access to export controlled information. To conform to U.S. Government export regulations applicable to that information, applicant must either be (A) a U.S. person, defined as a (i) U.S. citizen or national, (ii) U.S. lawful permanent resident (green card holder), (iii) refugee under 8 U.S.C. § 1157, or (iv) asylee under 8 U.S.C. § 1158, (B) eligible to access the export controlled information without a required export authorization, or (C) eligible and reasonably likely to obtain the required export authorization from the applicable U.S. government agency. CoreWeave may, for legitimate business reasons, decline to pursue any export licensing process.
Member of Technical Staff - Research Engineer
At Composio, we are building infrastructure that allows agents to communicate with the tools you use for work including Github, Gmail, Notion, Salesforce, etc. We are a small team of engineers wrangling problems from context to search, that help us provide the most capable bridge between your agents and your tools. We raised a $25M Series A from Lightspeed https://lsvp.com/stories/investing-in-composio-building-the-backbone-of-ai-agent-intelligence/ with some incredible angels like Guillermo Rauch (CEO of Vercel), Dharmesh Shah (CTO of Hubspot), Gokul Rajaram. Beginning of this year we 3x our ARR, our customer range from your friends in the YC batch to Wabi, Glean, Zoom and many more. WHAT YOU'LL DO? - build large evals with real tool calling data, measuring where models suck in long horizon tool execution - work on search problems for finding semantically similar tools and cached tool execution paths and plans. - train large agentic harness systems to improve session accuracy with millions of real tool calls as baseline data - SFT on our agentic traces and RL models on top of our agentic harness and app sandboxes. "MUST HAVES" if you are very good, nothing is a must per-se - research - you can independently execute against the research goals - you can prototype and test experiments very quickly - you can work with product and engineering teams to take research ideas to production in a matter of days - typist — you can write docs well and explain complex ideas clearly - human — you build trust and admit what you don’t know
Forward Deployed Research Engineer
At Composio, we are building infrastructure that allows agents to communicate with the tools you use for work including Github, Gmail, Notion, Salesforce, etc. We are a small team of engineers wrangling problems from context to search, that help us provide the most capable bridge between your agents and your tools. We raised a $25M Series A from Lightspeed https://lsvp.com/stories/investing-in-composio-building-the-backbone-of-ai-agent-intelligence/ with angels like Guillermo Rauch (CEO of Vercel), Dharmesh Shah (CTO of Hubspot), and Gokul Rajaram. We've 3x'd our ARR this year, and our customers range from your friends in the YC batch to Wabi, Glean, Zoom and many more. the action layer for AI agents is the least-solved part of the stack. this role works at that frontier: embedded with the customers pushing hardest, turning open research questions into tools their agents use, shipping the code yourself. THE FRONTIER YOU'LL WORK ON • turning an 800-endpoint enterprise API into a tool surface a model can navigate. tool granularity, composite tools, description engineering, scope design. no textbook exists; you write it in production. • building the evals that tell us an agent picked the right tool. the field has no good answer; your harnesses become ours. • working directly with the engineers defining what agents can do, and feeding what breaks back into the product. WHAT YOU'LL DO? • own enterprise accounts end to end: discovery, spec, implementation, QA, release. • ship production code in our toolkit monorepo and customer SDKs: custom and composite tools, schema and scope changes, per-customer patches. • turn large enterprise APIs into agent-usable tool surfaces, and build the evals that prove the model picks the right tool. • QA toolkits, and build the harnesses that make QA repeatable instead of artisanal. • run weekly customer syncs: the summaries, ETAs, and escalations that keep an engagement coherent. • operate per-customer tool-patching as self-service, not escalation. • dogfood Composio on your own workflows. "MUST HAVES" if you are very good, nothing is a must per-se • applied integration engineering – you ship production code, not demos. – you live in enterprise APIs and auth: OAuth 2.0, consent models, scope design, multi workspace tokens. you know the edge cases from scars. – you make architecture calls under pressure and defend them to a customer's principal engineers. • customer technical ownership – you've taken a named enterprise account from first call to live.– you turn vague asks into specs, and push back when the ask is wrong. • ai native – you have built with the language models. – you have built for the language models, and treat the agent-tool interface as an open research problem. • taste - finger feel for good developer experience. • typist - you explain complex ideas clearly under deadline. • human - you build trust and admit what you don't know. OPTIONAL • years of Python in production (Typescript a plus). • API platform, iPaaS, or integration-heavy background. • prior FDE / solutions-architect role selling to big tech. • frontier output: MCP servers, tool-use evals, agent-tooling writeups.
Operations Manager, Automation Development
At Commure, we're building the AI Operating System for healthcare, the foundation that defines how care is delivered, documented, and financed. Our platform spans the full care journey: Ambient AI and Dictation eliminating documentation burden at the point of care, intelligent Agents automating patient and revenue workflows, and autonomous RCM processing billions in claims, all on a single AI-native platform integrated with 60+ EHRs. Healthcare carries a $1 trillion administrative burden and we're at the center of transforming it. Today, 500,000+ clinicians across 500+ healthcare organizations nationwide trust Commure to handle $25B+ in annual claims and support over 200 million patient interactions. Our latest $70M raise at a $7B valuation reflects the confidence the market has placed in this mission. We've also been named to the Fortune Future 50 list and the 2026 AI Breakthrough Awards for “Overall NLP Company of the Year.” Our team works directly alongside clinicians, not through layers of process, which means the gap between what you build and its impact on patient care is immediate. We move fast, deploy daily, and take full ownership from early thinking to production. If you're energized by hard problems, high stakes, and a team that holds itself to a high bar, you'll find your people here. The future of healthcare is being built right now. Come deliver this transformation. About the Role: We’re looking for a builder - someone who loves solving hard operational problems with code, data, and product intuition. You are right for this role if you’re someone who can take an operational workflow, inspect the data, understand the business logic, build and modify tools, evaluate outcomes and ship measurable improvements. Part consultant, part product thinker, part data analyst, you’ll help us automate and scale traditionally manual workflows that underpin healthcare operations - from claim submissions to payment posting. This role sits at the intersection of product, data, and implementation. You’ll design, test, and operationalize automations across our stack, work hands-on with Product, Engineering teams, and our customers to map and rebuild their workflows, and create systems that scale. You’ll be accountable for outcomes - building the infrastructure, tools, and processes that let our teams and our clients move faster and smarter. We want people who are excellent operators, strong problem solvers, and comfortable building from scratch. At Commure, there are no speed limits in your growth. If you show ownership and deliver results, your responsibilities - and impact - will grow rapidly. We value people who move fast, think deeply, take pride in solid execution, and deliver results for our customers. This full-time position requires working 5 days a week in our Mountain View, CA office. What You'll Do - Own high-impact processes: Own one or more automation surfaces end-to-end: instrumentation, workflow mapping, SQL/data analysis, tool changes, experiment evaluation, rollout, monitoring, and post-launch debugging. - Design and automate workflows: Use SQL, APIs, scripts, and emerging tools (including LLMs and harnesses) to automate manual claim-related workflows and improve scalability - Collaborate cross-functionally: Work closely with Product, Engineering, and Account Management to influence roadmap priorities and scale successful solutions - Analyze and optimize: Build dashboards and reporting pipelines to monitor productivity, quality, and financial outcomes; identify bottlenecks and automate fixes What You Bring - 2+ years of experience in operations, consulting, or data-heavy roles at a tech company or fast-paced startup - Strong SQL fluency - comfortable querying, analyzing, and structuring data to drive insights and automation - Excellent problem-solving and systems-thinking skills; able to diagnose root causes and design scalable solutions - Proven ability to manage complex projects end-to-end, working autonomously in ambiguous, fast-changing environments - Bonus: Experience with AI Automation Infrastructure, such as: - Prompt Iteration - Evaluations - Failure Analysis - Agent Workflows - Hallucination / Leakage / Overfitting Risks - Human-in-the-Loop Design - Confidence Thresholds - Auditability - Production Monitoring - Bonus: Experience in healthcare operations, claims, or billing systems - Bonus: Experience building or integrating workflows via APIs, Python, or web automation tools (Zapier, Retool, custom scripts, etc.) - Bonus: Experience with agentic workflow development, building orchestration scripts and validation scripts, and working with the cloud Who You Are - You investigate metric drops relentlessly until you've identified a root cause. - You validate dashboard queries before trusting the output. - You work comfortably with raw logs, database records, and edge cases. - You translate domain expert knowledge into scalable automation. - You apply rigorous critical thinking to LLM outputs and build appropriate guardrails. - You ship useful tools early and iterate rather than over-engineer a perfect design doc. Please be aware that all official communication from us will come exclusively from email addresses ending in @commure.com http://commure.com. Any emails from other domains are not affiliated with our organization. Employees will act in accordance with the organization’s information security policies, to include but not limited to protecting assets from unauthorized access, disclosure, modification, destruction or interference nor execute particular security processes or activities. Employees will report to the information security office any confirmed or potential events or other risks to the organization. Employees will be required to attest to these requirements upon hire and on an annual basis.
Software Engineer
WE ARE AN APPLIED AI LAB BUILDING END-TO-END SOFTWARE AGENTS. We're the makers of Devin, the first AI software engineer. Our team is extremely talent-dense. Among our founding team, we have world-class competitive programmers, former founders, and leaders from companies at the cutting edge of AI including Scale AI, Palantir, Cursor, Waymo, Tesla, Lunchclub, Modal, Google DeepMind, and Nuro. Building Devin is just the first step—our hardest challenges still lie ahead. If you’re excited to solve some of the world’s biggest problems and build AI that can reason on real-world tasks, apply to join us. ROLE MISSION Software Engineers at Cognition are not feature builders. You will be working on some of the hardest open problems in applied AI: how do you build an agent that can reason across thousands of lines of code, spawn and coordinate subagents, use tools reliably across ambiguous long-horizon tasks, and do all of this in a way that a real engineer would trust? You will ship systems that go directly into Devin and Windsurf, two products that millions of developers use to write, debug, and ship code. This is a role for engineers who want to be close to the frontier, who can move fast without cutting corners, and who believe the next 5 years of software engineering will look fundamentally different from the last 5. WHAT YOU'LL ACCOMPLISH - Build core agent infrastructure: Design and ship the systems that power Devin's long-horizon task execution: tool use, context management, multi-step planning, subagent orchestration, and sandboxed code execution environments. - Improve Windsurf as an AI-native IDE: Contribute to editor intelligence, agent-in-the-loop workflows, real-time code understanding, and the developer experience that makes Windsurf different from every other IDE. - Close the loop between models and products: Work directly with researchers to translate new model capabilities into shipped features; your feedback shapes what gets prioritized in training. - Own reliability and performance at scale: Build systems that handle millions of agentic tasks with low latency, high reliability, and the kind of correctness that developers depend on in production. - Move the category forward: Cognition is defining what AI software engineering looks like. You will have real input into what gets built next and why. EXCEPTIONAL CANDIDATES HAVE DEMONSTRATED - Systems engineering depth: Experience building reliable, performant distributed systems; you have strong opinions about correctness, failure modes, and production behavior. - Product instinct: You care about how the software you build feels to use and you have shipped things that real people depend on. - Comfort with ambiguity: You can make progress on hard problems with incomplete specs, learn fast from results, and course-correct without needing a lot of direction. - Velocity without shortcuts: A track record of shipping quickly while maintaining the kind of code quality that a high-density team expects. - Curiosity about agents and AI: You have dug into how LLMs work, how agents fail, and what it takes to make AI-powered systems behave reliably in the real world. - Strong Python proficiency: Python is the primary language across Cognition's codebase; you write clean, well-structured Python and are comfortable owning large Python codebases in production. - Relevant industry experience: Prior experience at a frontier AI lab, applied AI company, or developer tools company; you know what good looks like in this category. - Degree from a top-tier university: BS, MS, or equivalent in Computer Science, Mathematics, Engineering, or a related technical discipline from a highly selective program. COMPENSATION & BENEFITS - Base Salary: $260,000 - $300,000 + Significant early-stage equity - Medical, Dental, Vision: Fully paid for you and your dependents - 401(k): Company match included - Perks: Private chef, cozy slippers, endless snacks, and more EQUAL OPPORTUNITY Cognition is an equal opportunity employer. We do not discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other protected characteristic under applicable law. We are committed to providing reasonable accommodations for candidates with disabilities throughout the hiring process - please let us know if you need any.
Applied AI Engineer - APAC
WE ARE AN APPLIED AI LAB BUILDING END-TO-END SOFTWARE AGENTS. We're the makers of Devin, the first AI software engineer. Our team is extremely talent-dense. Among our founding team, we have world-class competitive programmers, former founders, and leaders from companies at the cutting edge of AI including Scale AI, Palantir, Cursor, Waymo, Tesla, Lunchclub, Modal, Google DeepMind, and Nuro. Building Devin is just the first step—our hardest challenges still lie ahead. If you’re excited to solve some of the world’s biggest problems and build AI that can reason on real-world tasks, apply to join us. ABOUT THE ROLE Applied AI Engineers are how Cognition operationalizes AI modernization at the enterprise level. You don't demo Devin - you deploy it. You embed with engineering teams, integrate agentic workflows into how they actually build and ship, and drive the kind of measurable productivity gains that make adoption irreversible. As one of our first Applied AI Engineers, you'll also shape the function itself - turning individual customer engagements into repeatable playbooks, digital learning content, and partner-driven enablement models that allow Cognition to reach hundreds of thousands of engineers worldwide. This role is perfect for someone who has strong engineering fundamentals, enjoys working directly with customers, and finds deep satisfaction in driving product adoption and having users unlock their potential with Devin - while also thinking systematically about how to scale those learnings to the next 100 teams. IN THIS ROLE, YOU WILL: - Embed with enterprise engineering teams to drive deep, lasting adoption of Devin — owning outcomes, not just onboarding - Architect and implement agentic workflows across engineering, QA, support, data, and product — identifying where AI creates the highest leverage and building toward it - Lead interactive programs for enterprise engineering teams (live workshops, pair programming sessions) - Guide customers through installing, configuring, and optimizing Devin and its associated tools (DeepWiki, MCP integrations, etc.) - Pair-program on live production problems to demonstrate high-value usage patterns and accelerate the team's applied AI fluency - Quantify impact — tracking productivity metrics, surfacing ROI stories, and making the business case for expanding Devin's footprint within accounts - Work with leadership to scale field learnings into structured playbooks and best practices that scale beyond individual engagements - Create enablement materials, best practices, and shared playbooks based on customer learnings REQUIREMENTS FOR THE ROLE: - Degree in a STEM field or equivalent hands-on experience - 3+ years as a software engineer, technical consultant, deployment strategist, forward deployed engineer, solutions engineer or similar roles with strong coding proficiency (Python, JavaScript/TypeScript, or similar) - Proven ability to communicate complex technical topics to diverse audiences - Proven track record of driving technical adoption and measurable impact inside engineering organizations - Strong commercial instincts; you understand that successful engagements grow accounts, and you operate accordingly - Excellent verbal and written communication skills - Demonstrated ability to learn and adapt exceptionally fast YOU MIGHT EXCEL IF YOU… - You've led developer enablement, platform adoption, or internal AI modernization initiatives — and you can point to the before/after metrics - Have deployed or integrated LLM or agent-based systems in production settings - Have previously founded or joined early-stage startups where autonomy and execution speed were critical - You're energized by seeing a team's velocity compound after working with them — and you engineer those outcomes deliberately EQUAL OPPORTUNITY Cognition is an equal opportunity employer. We do not discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other protected characteristic under applicable law. We are committed to providing reasonable accommodations for candidates with disabilities throughout the hiring process - please let us know if you need any.
Applied AI Engineer - ANZ
WE ARE AN APPLIED AI LAB BUILDING END-TO-END SOFTWARE AGENTS. We're the makers of Devin, the first AI software engineer. Our team is extremely talent-dense. Among our founding team, we have world-class competitive programmers, former founders, and leaders from companies at the cutting edge of AI including Scale AI, Palantir, Cursor, Waymo, Tesla, Lunchclub, Modal, Google DeepMind, and Nuro. Building Devin is just the first step—our hardest challenges still lie ahead. If you’re excited to solve some of the world’s biggest problems and build AI that can reason on real-world tasks, apply to join us. ABOUT THE ROLE Applied AI Engineers are how Cognition operationalizes AI modernization at the enterprise level. You don't demo Devin - you deploy it. You embed with engineering teams, integrate agentic workflows into how they actually build and ship, and drive the kind of measurable productivity gains that make adoption irreversible. As one of our first Applied AI Engineers, you'll also shape the function itself - turning individual customer engagements into repeatable playbooks, digital learning content, and partner-driven enablement models that allow Cognition to reach hundreds of thousands of engineers worldwide. This role is perfect for someone who has strong engineering fundamentals, enjoys working directly with customers, and finds deep satisfaction in driving product adoption and having users unlock their potential with Devin - while also thinking systematically about how to scale those learnings to the next 100 teams. IN THIS ROLE, YOU WILL: - Embed with enterprise engineering teams to drive deep, lasting adoption of Devin — owning outcomes, not just onboarding - Architect and implement agentic workflows across engineering, QA, support, data, and product — identifying where AI creates the highest leverage and building toward it - Lead interactive programs for enterprise engineering teams (live workshops, pair programming sessions) - Guide customers through installing, configuring, and optimizing Devin and its associated tools (DeepWiki, MCP integrations, etc.) - Pair-program on live production problems to demonstrate high-value usage patterns and accelerate the team's applied AI fluency - Quantify impact — tracking productivity metrics, surfacing ROI stories, and making the business case for expanding Devin's footprint within accounts - Work with leadership to scale field learnings into structured playbooks and best practices that scale beyond individual engagements - Create enablement materials, best practices, and shared playbooks based on customer learnings REQUIREMENTS FOR THE ROLE: - Degree in a STEM field or equivalent hands-on experience - 3+ years as a software engineer, technical consultant, deployment strategist, forward deployed engineer, solutions engineer or similar roles with strong coding proficiency (Python, JavaScript/TypeScript, or similar) - Proven ability to communicate complex technical topics to diverse audiences - Proven track record of driving technical adoption and measurable impact inside engineering organizations - Strong commercial instincts; you understand that successful engagements grow accounts, and you operate accordingly - Excellent verbal and written communication skills - Demonstrated ability to learn and adapt exceptionally fast YOU MIGHT EXCEL IF YOU… - You've led developer enablement, platform adoption, or internal AI modernization initiatives — and you can point to the before/after metrics - Have deployed or integrated LLM or agent-based systems in production settings - Have previously founded or joined early-stage startups where autonomy and execution speed were critical - You're energized by seeing a team's velocity compound after working with them — and you engineer those outcomes deliberately EQUAL OPPORTUNITY Cognition is an equal opportunity employer. We do not discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other protected characteristic under applicable law. We are committed to providing reasonable accommodations for candidates with disabilities throughout the hiring process - please let us know if you need any.
Applied AI Engineer
WE ARE AN APPLIED AI LAB BUILDING END-TO-END SOFTWARE AGENTS. We're the makers of Devin, the first AI software engineer. Our team is extremely talent-dense. Among our founding team, we have world-class competitive programmers, former founders, and leaders from companies at the cutting edge of AI including Scale AI, Palantir, Cursor, Waymo, Tesla, Lunchclub, Modal, Google DeepMind, and Nuro. Building Devin is just the first step—our hardest challenges still lie ahead. If you’re excited to solve some of the world’s biggest problems and build AI that can reason on real-world tasks, apply to join us. ABOUT THE ROLE Applied AI Engineers are how Cognition operationalizes AI modernization at the enterprise level. You don't demo Devin - you deploy it. You embed with engineering teams, integrate agentic workflows into how they actually build and ship, and drive the kind of measurable productivity gains that make adoption irreversible. As one of our first Applied AI Engineers, you'll also shape the function itself - turning individual customer engagements into repeatable playbooks, digital learning content, and partner-driven enablement models that allow Cognition to reach hundreds of thousands of engineers worldwide. This role is perfect for someone who has strong engineering fundamentals, enjoys working directly with customers, and finds deep satisfaction in driving product adoption and having users unlock their potential with Devin - while also thinking systematically about how to scale those learnings to the next 100 teams. IN THIS ROLE, YOU WILL: - Embed with enterprise engineering teams to drive deep, lasting adoption of Devin — owning outcomes, not just onboarding - Architect and implement agentic workflows across engineering, QA, support, data, and product — identifying where AI creates the highest leverage and building toward it - Lead interactive programs for enterprise engineering teams (live workshops, pair programming sessions) - Guide customers through installing, configuring, and optimizing Devin and its associated tools (DeepWiki, MCP integrations, etc.) - Pair-program on live production problems to demonstrate high-value usage patterns and accelerate the team's applied AI fluency - Quantify impact — tracking productivity metrics, surfacing ROI stories, and making the business case for expanding Devin's footprint within accounts - Work with leadership to scale field learnings into structured playbooks and best practices that scale beyond individual engagements - Create enablement materials, best practices, and shared playbooks based on customer learnings REQUIREMENTS FOR THE ROLE: - Degree in a STEM field or equivalent hands-on experience - 3+ years as a software engineer, technical consultant, deployment strategist, forward deployed engineer, solutions engineer or similar roles with strong coding proficiency (Python, JavaScript/TypeScript, or similar) - Proven ability to communicate complex technical topics to diverse audiences - Proven track record of driving technical adoption and measurable impact inside engineering organizations - Strong commercial instincts; you understand that successful engagements grow accounts, and you operate accordingly - Excellent verbal and written communication skills - Demonstrated ability to learn and adapt exceptionally fast YOU MIGHT EXCEL IF YOU… - You've led developer enablement, platform adoption, or internal AI modernization initiatives — and you can point to the before/after metrics - Have deployed or integrated LLM or agent-based systems in production settings - Have previously founded or joined early-stage startups where autonomy and execution speed were critical - You're energized by seeing a team's velocity compound after working with them — and you engineer those outcomes deliberately EQUAL OPPORTUNITY Cognition is an equal opportunity employer. We do not discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other protected characteristic under applicable law. We are committed to providing reasonable accommodations for candidates with disabilities throughout the hiring process - please let us know if you need any.
Senior Software Engineer - Backend
ABOUT CODERABBIT CodeRabbit is the leading AI code review platform, trusted by more than 17,000 customers and 150,000 open-source projects, conducting over 2 million code reviews each week. We build the symbiotic partnership between developers and AI that makes shipping fast software safe again, reviewing every pull request, IDE change, and CLI commit so teams can move quickly without breaking things. We are a fast-moving, well-funded company, fresh off a $143M Series C at a $1.5B valuation — building Agentic Change Management, the control layer for software changes created by humans and agents. As AI writes more of the world's code, the bottleneck moves from implementation to judgment and helping human judgment scale is exactly the problem we exist to solve. ROLE OVERVIEW As a Software Engineer at CodeRabbit, you'll be contributing to the development of advanced applied AI systems that revolutionize code review processes. You'll work at the intersection of intelligent systems and software engineering, creating tools that empower developers to iterate rapidly in complex environments. Your expertise will be crucial in developing solutions that enhance code quality, scalability, and developer productivity. You’ll help architect and build core backend systems — the infrastructure that powers our AI agent workflows, context-enriched code reviews, repo-level planning tools, and dashboard interfaces. You’ll work alongside AI researchers, infra specialists, frontend engineers, and product thinkers to build reliable, intelligent backend systems that power our developer tools at scale. RESPONSIBILITIES - Architect and build scalable backend services, APIs, and distributed systems - Collaborate with ML engineers to integrate models into agent-based systems and AI products involving autonomous or task-driven agents - Guide junior engineers through mentorship and technical reviews - Own architectural decisions in new product features - Ensure reliability, performance, and security across systems - Contribute to an engineering culture of speed, quality, and pragmatic innovation QUALIFICATIONS - Education: Degree in Computer Science, Engineering, Artificial Intelligence, or a related technical field, or equivalent practical experience - Experience: 5+ years building backend systems and distributed infrastructure - Technical Expertise: Fluency in TypeScript and Node.js, or a similar modern backend stack; experience with micro services, async job queues, and event-driven architectures - Systems Thinking: Familiarity with cloud platforms (AWS/GCP), containerization (Docker/Kubernetes), CI/CD pipelines, devops tooling, runtime infrastructure, and production observability - Engineering Craft: Strong understanding of software engineering best practices, including testing, code reviews, and version control workflows - Product Mindset: Thoughtful about trade-offs, user experience, and fast iteration - Team Leadership: Willing to mentor, lead by example, and influence technical direction without being a pure manager BONUS POINTS - Experience with code search, code graphs, tree-sitter, or static analysis tools, and an understanding of how to apply them in real-world engineering environments - Experience integrating AI/LLM-based systems into product workflows - Contributions to open-source or community projects - Experience designing or implementing agent-based systems or AI products involving autonomous or task-driven agents WHY JOIN OUR ENGINEERING CULTURE? - CodeRabbit is building the next generation of AI-native developer tooling — starting with code review. We combine large language models with deep software engineering context to help teams ship faster, catch more bugs, and make better architectural decisions at scale. - We are a high-ownership engineering culture. That means no passive execution, no waiting for perfect tickets, and no narrowly defined task boundaries. Engineers here find problems before they're assigned, use AI as a core part of how they build, ship with judgment, and own outcomes from proposal to production. - Our operating philosophy: bias toward action, ship the smallest necessary coherent slice, validate proportional to risk, watch what happens, and make the system better. AI drafts; humans decide. Speed matters, but so does understanding what you ship. - This opportunity will be energizing for people who want real ownership, pace, and high standards. It's uncomfortable for people who prefer slow consensus or heavily managed workflows. - If you want to build tools that are changing how software gets written, and be held to the standard that the best engineers thrive under; we'd love to talk. OUR VALUES - 🤝 Collaborative Humans: Prioritizing collective intelligence - 🚀 Fearless Innovators: Turning obstacles into growth opportunities - 💪 Persistent, Passionate Developers: Thriving on complex, long-term challenges - 🎯 Impact-Driven Creators: Crafting intuitive tools for developers - 🧠 Rapid Learners and Un-learners: Adapting quickly in our fast-paced technological world
Langfuse - Product Engineer, Integrations
WHY INTEGRATIONS ENGINEERING AT LANGFUSE Your work puts Langfuse into developers’ hands. Our SDKs are downloaded 26M+ times per month, and for many developers the first thing they touch is an integration — a few lines of code that connect their favorite framework to Langfuse. When that experience is seamless, they’re wow’ed. When it’s not, we might have lost them. You’ll own that critical first impression across 40+ framework integrations. You’ll live at the frontier of LLM application development. The AI framework ecosystem moves fast — new agent frameworks, orchestration libraries, and model providers emerge every week. You’ll be among the first to instrument them, giving you unmatched exposure to how cutting-edge AI applications are built. The developers you serve are some of the most ambitious software engineers in the world, and working closely with them will make you an expert on LLM engineering yourself. Everything you build is open source and immediately visible. All Langfuse integrations are MIT-licensed. When you ship a new integration or improve an existing one, thousands of developers benefit the same day — and they’ll tell you about it in GitHub issues, on Twitter, and in our community channels. WHAT YOU’LL DO - Build and maintain framework integrations. Langfuse integrates with 40+ frameworks and model providers: OpenAI SDK, Vercel AI SDK, LangChain, LlamaIndex, Pydantic AI, OpenAI Agents, CrewAI, Amazon Bedrock AgentCore, LiveKit, and many more. You’ll own these integrations end-to-end — from initial implementation to ongoing maintenance as frameworks evolve. When a new framework gains traction, you’ll be among the first to instrument it. - Design new integration patterns for emerging frameworks. When a framework or a new agent orchestrator appears, you’ll evaluate it, design the right instrumentation approach (callback handler, decorator, OTEL auto-instrumentation, or a combination), build the integration, write the docs, and ship it. You’ll develop strong opinions on what makes a great integration experience. - Contribute to the core SDKs. While integrations are your primary focus, your work will surface needs in our Python and TypeScript SDKs. You’ll contribute improvements to the core SDK when your integration work demands it — whether that’s a new hook point, better context propagation, or performance optimizations. - Write documentation and integration guides. At Langfuse, docs are part of our core product. When you ship a new integration, the guide ships with it. You’ll own the integration docs, quickstart tutorials, cookbooks, and migration paths that help developers get started in minutes. - Be a voice in the developer community. You’ll engage with framework communities, respond to integration-related GitHub issues, write blog posts about new integrations, and be present in our Slack/Discord channels. You’ll build relationships with framework maintainers and represent Langfuse in the broader AI developer ecosystem. WHAT WE’RE LOOKING FOR - Passionate about the LLM ecosystem. You’ve built real applications with frameworks like LangChain, Pydantic AI, Vercel AI SDK, LlamaIndex, or similar — or you have a deep willingness to go deep and get your hands dirty with every major framework in the space. You’re excited about this ecosystem, not just familiar with it. - Strong in Python and/or TypeScript. You write clean, reliable code. You don’t need to be a systems-level performance expert, but you care about code quality and understand that integrations run inside other people’s production systems. - Product-minded engineer. You think about the developer who’s going to use your integration at 11pm trying to ship a feature. You obsess over the getting-started experience: how many lines of code does it take? Is the error message helpful? Does the docs example actually work? - Self-directed and motivated. You know how to develop conviction about what to build and how to ship it. You don’t wait for detailed specs — you investigate the framework, talk to users, and propose the right approach. - Excited about open source and developer community. You genuinely enjoy talking to developers about their integration challenges, writing clear documentation, and contributing to open source projects. - Thrives in a small, accountable team. Your output is visible and matters. You’re comfortable owning outcomes, not just tasks. CS or quantitative degree preferred, but not required. We care far more about what you’ve built and your hunger to learn. BONUS POINTS - Experience with OpenTelemetry internals or observability instrumentation - Contributions to popular open source projects, SDKs, or developer tools - Experience building developer tooling, CLIs, or client libraries - Former founder or early startup experience - Active presence in AI/ML developer communities (blog posts, talks, open source) No candidate checks all boxes. If you feel you are a good fit for this role, please go ahead and apply. PROJECTS YOU COULD OWN - Build and ship a Langfuse integration for an emerging agent framework (e.g., OpenClaw, new OTEL-based instrumentation) - Design the integration pattern for a new category of AI tools (e.g., voice agents via LiveKit/Pipecat) - Create comprehensive quickstart cookbooks that get developers from zero to traced in under 5 minutes - Work with the OpenTelemetry community to improve GenAI semantic conventions - Maintain and upgrade our most popular integrations (OpenAI, LangChain, Vercel AI SDK) as those frameworks ship breaking changes PERKS - Flexible work environment - ClickHouse is a globally distributed company and remote-friendly. We currently operate in over 25 countries. - Healthcare - Employer contributions towards your healthcare. - Equity in the company - Every new team member who joins our company receives stock options. - Time off - Flexible time off in the US, generous entitlement in other countries. - A USD$500 Home office setup if you’re a remote employee. - Global Gatherings – We believe in the power of in-person connection and offer opportunities to engage with colleagues at company-wide offsites. CULTURE - WE ALL SHAPE IT As part of a rapidly scaling start-up, you will be instrumental in shaping our culture. Are you interested in finding out more about our culture? Learn more about our values here https://clickhouse.com/company/careers. Check out our blog posts https://clickhouse.com/blog or follow us on LinkedIn https://www.linkedin.com/company/clickhouseinc/life/0c1ee7f4-2129-488d-b413-e7f6270659fd/?viewAsMember=true to find out more about what’s happening at ClickHouse. EQUAL OPPORTUNITY & PRIVACY ClickHouse provides equal employment opportunities to all employees and applicants and prohibits discrimination and harassment of any type based on factors such as race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. Please see here https://clickhouse.com/legal/applicant-privacy-notice for our Privacy Statement.
Solutions Architect
Supply chain complexity is accelerating, and the companies that win are the ones who can integrate faster, resolve exceptions before they become problems, and use business-to-business supply chain orchestration as a competitive differentiator. The Solutions Architect is both a supply chain advisor and an integration technologist, equally credible designing the technical architecture and speaking to the operational and financial stakes riding on it. Partnering directly with the Sales team, the Solutions Architect owns the technical narrative from initial discovery through close, connecting the specific supply chain challenges each prospect is trying to solve to the outcomes Cleo's platform can deliver. This is a role for someone who has done this before at a high level, brings their own consultative point of view into every room they walk into, and can establish credibility with every persona in the room, from technical practitioners to the C-suite. They apply the full range of available tools, including AI, in ways that produce better outcomes for prospects and for Cleo. Essential Duties & Responsibilities - Function as the supply chain expert, technical lead, trusted advisor throughout the sales cycle - Conduct discovery sessions directly with prospective and existing customers to gather business and technology requirements, including identifying where AI-powered capabilities deliver the highest value - Translate technical architecture into business outcomes for C-suite stakeholders (CTO, COO, VP of Supply Chain) - Design end-to-end integration architectures tailored to each prospect’s ERP, WMS, TMS, and trading partner ecosystem - Demonstrate the value of Cleo solutions through presentations and demonstrations on-site and remote - Assess, scope, and complete POCs to demonstrate measurable ROI in real customer environments, with clear success criteria and minimal turnaround - Lead the technical response for RFI/RFPs, ensuring Cleo’s value propositions are clearly articulated and differentiated against competitive alternatives - Serve as Cleo’s AI subject matter expert in customer-facing conversations, articulating how AI capabilities in the platform create competitive advantage for supply chain companies - Apply AI tools across the sales cycle in ways that reflect seniority and judgment, from sharpening discovery hypotheses and accelerating POC builds to producing documentation and demonstration proof points that would have taken significantly longer otherwise - Collaborate with Product Management to provide voice-of-the-customer feedback, influencing the roadmap based on market trends and patterns observed across prospect engagements - Partner with Customer Success and Professional Services to ensure smooth technical handoffs post-close, with clear documentation of customer architecture and agreed use cases - Contribute to the SA knowledge base by building reusable assets, demo scripts, and POC frameworks that scale pre-sales team capacity Supply Chain Fluency This role calls for someone who can operate as both a supply chain advisor and a technical architect, often in the same conversation. The table below outlines what strong looks like across both: understanding a customer's operational reality well enough to advise on it, and designing the integration architecture that actually solves it. AI Fluency Competencies The SA role carries a meaningful AI dimension on two fronts: applying AI tools to do the work of pre-sales at a higher level, and advising prospects on where AI-powered integration capabilities create tangible operational value. Prerequisites - Bachelor’s degree in Computer Science, Computer Information Systems, or a related field, or equivalent relevant experience - 5+ years in a pre-sales, solutions engineering, or customer-facing technical role within a B2B SaaS, iPaaS, EDI, or supply chain software environment - Hands-on experience with EDI (X12, EDIFACT), B2B integration protocols, and cloud or on-premises integration platforms - Understanding of core supply chain processes including Order-to-Cash, Procure-to-Pay, and Load Tender-to-Invoice - Knowledge of B2B integrations including REST/SOAP APIs and JSON/XML data structures - Demonstrated ability to lead technical discovery, solution design, and POC execution in complex, multi-stakeholder enterprise sales cycles - Experience articulating AI-powered product capabilities to both technical and business audiences, translating relevant capabilities into measurable ROI - Preferred: hands-on experience with AI/ML-powered SaaS features including LLM applications, agentic AI workflows, or intelligent automation - Preferred: familiarity with common supply chain systems (ERP, WMS, TMS) and trading partner ecosystems - Preferred: experience working at or alongside global consulting firms or systems integrators in a pre-sales or delivery capacity A few things we have to offer: - Compensation: $120,000 - $140,000 + Bonus potential - Great Healthcare + Dental + Vision - Flexible PTO - Culture of support, encouraging Life-Work balance - 401k match - FSA and HSA options - Employee Assistance Program - Paid Parental Leave - Remote work environment - Representing a company with 4,000+ clients and a 99% retention rate - Accelerated title and salary growth potential - A fun and energetic work environment that makes you excited to go to work every day We use artificial intelligence (AI) tools to assist in certain stages of our recruitment process, such as resume screening and candidate matching. These tools are designed to support fair and consistent evaluations. If you have questions about this process or would like to request an alternative assessment method, please contact us at hr@cleo.com. Cleo Communications US, LLC is an equal opportunity/affirmative action employer, and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability status, protected veteran status, or any other characteristic protected by law.
Data Scientist
ABOUT CLAY AI is unleashing the biggest wave of company creation in history. Clay's mission is to be the engine those companies use to grow to their full potential. Clay predicts the next best action for your business and then helps you take it. We started by aggregating the best data for B2B companies. Then, we built the infrastructure to run any personalized campaign on top of it, including emails, ads, landing pages, and workflows that make reps more productive. Now, we're building agents that can help grow your company for you. We're already helping thousands of customers — including Anthropic, OpenAI, Google, and Visa — go to market with unique data, signals, and AI research. In 2026, we raised a $115M Series D https://www.linkedin.com/safety/go/?url=https%3A%2F%2Fwww.nytimes.com%2F2026%2F09%2F09%2Fbusiness%2Fdealbook%2Fclay-ai-fundraising.html%3Fsmid%3Durl-share%26unlocked_article_code%3D1._1A.E5rN.MeYsbgEsUKbB&urlhash=XS4q&mt=4bpSf4a8omAKuAHqAqZx6C11QpbLK_QwIhSV7gSf4Wf9aywPF_KBSiX9IkWE1AhXBEjPH8mK6fAEN7CMFlpvo0lPAtKRjs-dhgzYqHiVKUMCRtw0jScFgxWCRRfYs4HCX0YL9L6PCQz-edBLinvRdU_TaVUL2dA3&isSdui=true&lipi=urn%3Ali%3Apage%3Ad_flagship3_feed%3BoQmIsufoRJm7X2HC5Rqd%2Fw%3D%3D at $7.1B Valuation led by Wellington — and are on track to cross $200M in revenue this quarter. We also launched a $1M Scholarship fund for GTME Education. Some things to know about us: - Our community http://community.clay.com includes 17,000+ customers, 200+ integration partners, 125+ agencies, 50+ Clay clubs https://luma.com/claylive, and 30k members on Slack. - Our culture https://nextplayso.substack.com/p/spotlight-clay is unique inside and outside of work. Our team members are also DJs, activists, writers, clowns, marathoners, skydivers, psychedelic therapists, social workers, and more. - All employees can work with world-class coaches who specialize in creativity, management, and more. - Our operating principles — including negative maintenance and non-attached action — guide our work. Read more about them here https://cdn.prod.website-files.com/61477f2c24a826836f969afe/685d83a71452245cc1129791_4d770abfd83e276ec15315a2e06945bd_Clay2025_OperatingPrinciples.pdf. - Read about us in the NYT https://www.nytimes.com/2025/08/05/business/dealbook/clay-ai-marketing-fundraise.html, Forbes http://google.com/search?q=forbes+clay&rlz=1C5OZZY_enUS1155US1155&oq=forbes+clay&gs_lcrp=EgZjaHJvbWUyBggAEEUYOTIHCAEQABiABDIHCAIQABiABDIHCAMQABiABDIHCAQQABiABDIHCAUQABiABDIHCAYQABiABDIHCAcQABiABDIHCAgQABiABDIHCAkQABiABNIBBzkzM2owajSoAgOwAgHxBVAe8UAxJx_p&sourceid=chrome&ie=UTF-8, First Round Review https://review.firstround.com/podcast/inside-clays-unconventional-path-to-1-25b/, and more https://www.clay.com/press. Hear from our employees directly on our Glassdoor https://www.glassdoor.com/Overview/Working-at-Clay-EI_IE9850794.11,15.htm page! DATA SCIENTIST @ CLAY We're looking for a Data Scientist to join Clay's Data Science and Analytics team. You'll be durably embedded with a partner team—Product, Marketing, Sales, Finance, or Partnerships—as their full data partner, with the deep context to shape what gets built and how the business runs, backed by a central data team that operates as one center of excellence. This role is for someone who wants to own challenging, ambiguous problems end to end: designing experiments, building predictive models, and designing new metrics to guide out business. Data scientists at Clay are strategic leaders and trusted truth-tellers. Plus, we are among the fastest growing AI businesses, and our team is at the bleeding edge of AI-enabled data science. WHAT YOU'LL DO Own causal inference and experimentation Design and analyze experiments, and build incrementality measurement where clean A/B tests aren't possible (e.g., propensity-score matching to estimate true lift of features and GTM channels). Define how we measure the business Shape metric trees that connect team-level metrics to company outcomes, establish success criteria for product launches, and build frameworks for sizing and forecasting impact. Build predictive models that lead our team to focus on what matters most. Go deep on the toughest questions Root-cause anomalies, investigate nuanced behavioral questions, and build new analysis frameworks where existing patterns don't fit. Use data to teach all of Clay what we should be focusing on and what we can ignore. Partner as an embedded expert Work as the direct analytical partner to leaders in your area, turning ambiguous strategic questions into rigorous, decision-ready analysis. WHAT YOU'LL BRING 5+ years in data science, with demonstrated ownership of experimentation, causal inference, or predictive modeling Strong product and business sense: you connect analysis to decisions and revenue and have a demonstrated track record of directly influencing product and business decisions with your work Strong statistical and experimentation foundations: experiment design, effect estimation, a large exploratory analysis toolkit, and knowing when a result shouldn't be trusted Expert SQL and Python Experience using AI tools (Claude Code, Cursor, or similar) to accelerate analytical work: our team is AI-forward, and our workflows heavily utilize these tools Clear communicator who can influence senior stakeholders NICE TO HAVES Experience with our stack: Snowflake, Github, dbt, Hex, Sigma, Dagster Experience in product-led growth or B2B SaaS, especially usage-based pricing Experience partnering with ML engineers to productionize models WHY CLAY At Clay, AI handles routine analytical questions, so your time goes to the problems that require your expertise: causal inference, prediction, and the deep dives that change decisions. You'll help shape how a fast-scaling company measures growth and makes decisions. We value ownership, thoughtfulness, creative problem-solving, and a relentless focus on impact.
Technical Lead Manager, Infrastructure Hardware (S...
Cerebras Systems builds the world's largest AI chip, 56 times larger than GPUs. This architecture allows Cerebras to deliver industry-leading training and inference speeds; over 10 times faster than GPU-based hyperscale cloud inference services. This order of magnitude increase in speed is transforming the user experience of AI applications, unlocking real-time iteration and increasing intelligence via additional agentic computation. Cerebras works with the leading model labs, global enterprises, and cutting-edge AI-native startups. OpenAI recently announced a multi-year partnership https://openai.com/index/cerebras-partnership/ with Cerebras, to deploy 750 megawatts of scale, transforming key workloads with ultra high-speed inference. As a Technical Lead Manager, Infrastructure Hardware (Server and Network Systems) on the Cluster Architecture Team, you will provide technical leadership and drive end-to-end execution of server and network platform programs—including new product introductions (NPIs)—across Cerebras CS-3–based AI clusters. You will lead programs from requirements and technical trade-offs through vendor selection, lab bring-up, qualification, and production rollout. You will be the technical execution owner across OEM/ODM partners, component vendors, internal software/runtime teams and architects, validation/QA, and deployment/operations. About This Role This role combines technical leadership with hands-on execution. You must understand server, network, and system-level design deeply enough to lead technical reviews, make and document practical trade-offs, and unblock execution—while partnering closely with Compute, Server Platform, and Network Architects on broader architectural direction. You will also build shared understanding with our rack/elevations and physical datacenter design partners so that server and network changes land smoothly in real deployments, without owning physical datacenter design. Responsibilities - Own end-to-end technical execution for server systems and network equipment in Cerebras clusters, including NPIs, platform refreshes, and major component or configuration changes. - Drive requirements gathering and technical trade-off decisions, converting inputs into executable plans with clear milestones, readiness gates, and cross-functional deliverables. - Represent Cluster Architecture in executive reviews, OKR cycles, and leadership or customer forums as needed. - Build and manage integrated execution plans across vendors and internal teams, tracking dependencies, critical paths, and risks. - Lead OEM/ODM, switch-vendor, and component-vendor engagements, including RFI/RFP activities, technical evaluations, samples, escalations, and roadmap alignment. - Partner with Compute, Server Platform, and Network Architects to translate architectural direction into platform decisions, qualification plans, acceptance criteria, and rollout strategies. - Lead NPI execution, qualification, and release readiness, including lab/staging validation, regression tracking, issue resolution, and go/no-go decisions. - Step into execution gaps as needed to drive technical issues to closure and keep server and network programs moving. - Own risk and change management into production, including versioning, rollout sequencing, and stakeholder communication. - Ensure operational readiness with deployment and fleet teams and maintain alignment with rack and physical datacenter owners on power, cooling, space, and cabling constraints. Skills and Qualifications - B.S. or M.S. in Computer Science, Electrical/Computer Engineering, or equivalent experience. - 8+ years in technical leadership, systems engineering, or technical program leadership for server, network, or infrastructure platforms from concept through production. - Experience technically leading complex server and/or datacenter network programs across OEM/ODMs, switch vendors, component suppliers, and internal engineering teams. - Strong knowledge of server architecture—including CPU/NUMA, memory bandwidth, PCIe, NIC, and storage I/O—and networking fundamentals including leaf-spine fabrics, switch platforms, optics, and high-performance interconnects. - Familiarity with Linux server fleet management, including provisioning, firmware/BIOS, drivers, and field triage. - Demonstrated ability to make sound technical decisions, guide cross-functional teams, and drive issues to closure. - Strong multi-team execution skills, including integrated planning, risk management, dependency tracking, and executive-level communication. - Ability to operate in ambiguity and keep parallel server and network workstreams aligned. - Experience with AI/ML, HPC, or performance-sensitive distributed infrastructure is a plus. Why Join Cerebras People who are serious about software make their own hardware. At Cerebras, we have built a breakthrough architecture that is unlocking new opportunities for the AI industry. With dozens of model releases and rapid growth, we’ve reached an inflection point in our business. Members of our team tell us there are five main reasons they joined Cerebras: 1. Build a breakthrough AI platform beyond the constraints of the GPU. 2. Publish and open source their cutting-edge AI research. 3. Work on one of the fastest AI supercomputers in the world. 4. Enjoy job stability with startup vitality. 5. Our simple, non-corporate work culture that respects individual beliefs. Find out more about what it's like to work at Cerebras here https://www.cerebras.ai/join-us! Apply today and become part of the forefront of groundbreaking advancements in AI! Cerebras Systems is committed to creating an equal and diverse environment and is proud to be an equal opportunity employer. We celebrate different backgrounds, perspectives, and skills. We believe inclusive teams build better products and companies. We try every day to build a work environment that empowers people to do their best work through continuous learning, growth and support of those around them. This website or its third-party tools process personal data. For more details, click here https://www.cerebras.net/privacy/ to review our CCPA disclosure notice.
Tech Lead Manager, Developer Productivity
Cerebras Systems builds the world's largest AI chip, 56 times larger than GPUs. This architecture allows Cerebras to deliver industry-leading training and inference speeds; over 10 times faster than GPU-based hyperscale cloud inference services. This order of magnitude increase in speed is transforming the user experience of AI applications, unlocking real-time iteration and increasing intelligence via additional agentic computation. Cerebras works with the leading model labs, global enterprises, and cutting-edge AI-native startups. OpenAI recently announced a multi-year partnership https://openai.com/index/cerebras-partnership/ with Cerebras, to deploy 750 megawatts of scale, transforming key workloads with ultra high-speed inference. ABOUT THE ROLE Cerebras is looking for a Tech Lead Manager to lead our AI-Native Developer Productivity & Infrastructure team in Bengaluru. This is not a traditional developer tools role. Cerebras is moving its software development organization to an AI-first model: engineers working with coding agents, AI-assisted debugging, automated failure analysis, intelligent CI, self-service environments, and infrastructure that is designed for both humans and agents. This role is an opportunity to help define that transformation from the ground up. You will lead the team responsible for the systems that determine how fast Cerebras engineers can build, test, debug, integrate, and ship software. The scope includes CI/CD, merge queue and pre-qualification systems, build and test performance, developer observability, cloud and on-prem development environments, incident response, infrastructure automation, and AI-native workflows that reduce friction across the engineering organization. The right candidate is both a technical leader and a builder of teams. You should be excited to manage and mentor engineers, set technical direction, stay close to architecture and execution, and work directly with senior engineering leaders to reimagine how a world-class AI hardware/software company builds software. This is a fast-growing team and you will get a chance to own and define the strategy, vision, and plan for how to increase developer productivity. RESPONSIBILITIES - Lead and grow a Bengaluru-based engineering team focused on AI-native developer productivity, infrastructure, and engineering acceleration. - Mentor engineers, review designs, guide architecture, and set a high bar for engineering quality, reliability, and operational excellence. - Own the delivery of key initiatives focused on improving developer experience and velocity across the engineering organization. - Build systems that improve developer turnaround time, including faster builds, lower queue latency, shorter test cycles, better flaky-test management, and clearer failure diagnosis. - Evaluate and adopt development tools and workflows, and guide the organization in effectively leveraging them to improve productivity and code quality. - Partner with engineering teams to ensure these tools are effectively integrated into day-to-day workflows and deliver measurable impact. - Lead war rooms and incident management for critical developer infrastructure issues, driving clear communication, rapid resolution, root-cause analysis, and durable follow-up actions. - Stay hands-on to understand the technical details, debug critical issues, and make strong architectural tradeoffs. REQUIREMENTS - Are deeply focused on developer productivity and reducing friction across the software development lifecycle. - Have a proven track record of building tools and infrastructure that materially improve engineering velocity, reliability, and developer experience. You bring firsthand empathy for the tools, processes, and pain points that create toil, frustration, or burnout for engineering teams. - Have deep experience and strong technical judgment with build systems, CI/CD pipelines, and/or developer tooling in large monorepo environments. - Have strong programming ability in Python or similar systems-oriented languages. - Have engineering leadership experience as an engineering manager, tech lead, or tech lead manager, including experience hiring and growing teams. - Communicate clearly and influence effectively across globally distributed engineering teams. - Show high ownership, strong execution, and sound judgment in ambiguous environments where the right answer is not always obvious. Why Join Cerebras People who are serious about software make their own hardware. At Cerebras, we have built a breakthrough architecture that is unlocking new opportunities for the AI industry. With dozens of model releases and rapid growth, we’ve reached an inflection point in our business. Members of our team tell us there are five main reasons they joined Cerebras: 1. Build a breakthrough AI platform beyond the constraints of the GPU. 2. Publish and open source their cutting-edge AI research. 3. Work on one of the fastest AI supercomputers in the world. 4. Enjoy job stability with startup vitality. 5. Our simple, non-corporate work culture that respects individual beliefs. Find out more about what it's like to work at Cerebras here https://www.cerebras.ai/join-us! Apply today and become part of the forefront of groundbreaking advancements in AI! Cerebras Systems is committed to creating an equal and diverse environment and is proud to be an equal opportunity employer. We celebrate different backgrounds, perspectives, and skills. We believe inclusive teams build better products and companies. We try every day to build a work environment that empowers people to do their best work through continuous learning, growth and support of those around them. This website or its third-party tools process personal data. For more details, click here https://www.cerebras.net/privacy/ to review our CCPA disclosure notice.
Staff Software Engineer - Tools & Infrastructure /...
Cerebras Systems builds the world's largest AI chip, 56 times larger than GPUs. This architecture allows Cerebras to deliver industry-leading training and inference speeds; over 10 times faster than GPU-based hyperscale cloud inference services. This order of magnitude increase in speed is transforming the user experience of AI applications, unlocking real-time iteration and increasing intelligence via additional agentic computation. Cerebras works with the leading model labs, global enterprises, and cutting-edge AI-native startups. OpenAI recently announced a multi-year partnership https://openai.com/index/cerebras-partnership/ with Cerebras, to deploy 750 megawatts of scale, transforming key workloads with ultra high-speed inference. Responsibilities: - Design, build, and evolve CI/CD pipelines that support reliable and efficient build, test, and release workflows across the organization. - Own and improve artifact lifecycle systems, including versioning, storage, distribution, dependency management, and reproducible builds at scale. - Partner with development teams to design and improve code review workflows, branching strategies, and automated integration processes. - Provision, monitor, and optimize cloud infrastructure supporting CI workloads, balancing cost, performance, scalability, and reliability. - Troubleshoot complex build failures, pipeline bottlenecks, and infrastructure issues, driving root-cause analysis and implementing durable fixes. - Design and drive improvements to internal build infrastructure, test infrastructure, developer tooling, and automation that increase developer velocity and engineering productivity. - Identify systemic bottlenecks across developer workflows and lead architectural improvements to developer infrastructure. - Contribute to the company’s efforts around AI tooling to improve engineering productivity and automate repetitive workflows. - Provide technical leadership across projects, influence engineering standards, and mentor other engineers within the Developer Productivity organization. - Participate in on-call and incident response for Developer Productivity systems and services. Skills & Qualifications - 7+ years of professional experience in software engineering, infrastructure engineering, DevOps, developer productivity, or a related area. - Deep hands-on experience with CI/CD systems and building or evolving automated build, test, and deployment infrastructure. - Experience with artifact repositories, software packaging, dependency management, and reproducible build concepts. - Experience with cloud computing platforms, with AWS preferred, and programmatic infrastructure provisioning. - Strong experience with distributed version control systems, code review workflows, branching strategies, and repository management. - Strong understanding of Linux/Unix systems, networking fundamentals, and scripting or programming for automation. - Experience with containerization and container orchestration, with Kubernetes preferred. - Strong troubleshooting skills and the ability to debug complex distributed systems and infrastructure issues. - Demonstrated experience leading technical initiatives across multiple teams and driving improvements to developer infrastructure at organizational scale. - Ability to identify architectural bottlenecks, evaluate tradeoffs, and drive long-term improvements rather than only addressing operational issues. - Experience operating production systems and participating in on-call, incident response, and postmortem processes. Preferred Skills & Qualifications - Experience with infrastructure-as-code tools and practices. - Proficiency in Python, Go, Shell, or another language used for infrastructure automation and developer tooling. - Experience with build systems, build graph optimization, or large-scale build infrastructure. - Experience with observability practices including monitoring, logging, alerting, and performance analysis. - Experience building internal developer platforms, self-service tooling, or developer-facing infrastructure. - Experience applying AI/LLM tooling to engineering workflows or developer productivity. - BS/MS in Computer Science or a related field, or equivalent practical experience. Why Join Cerebras People who are serious about software make their own hardware. At Cerebras, we have built a breakthrough architecture that is unlocking new opportunities for the AI industry. With dozens of model releases and rapid growth, we’ve reached an inflection point in our business. Members of our team tell us there are five main reasons they joined Cerebras: 1. Build a breakthrough AI platform beyond the constraints of the GPU. 2. Publish and open source their cutting-edge AI research. 3. Work on one of the fastest AI supercomputers in the world. 4. Enjoy job stability with startup vitality. 5. Our simple, non-corporate work culture that respects individual beliefs. Find out more about what it's like to work at Cerebras here https://www.cerebras.ai/join-us! Apply today and become part of the forefront of groundbreaking advancements in AI! Cerebras Systems is committed to creating an equal and diverse environment and is proud to be an equal opportunity employer. We celebrate different backgrounds, perspectives, and skills. We believe inclusive teams build better products and companies. We try every day to build a work environment that empowers people to do their best work through continuous learning, growth and support of those around them. This website or its third-party tools process personal data. For more details, click here https://www.cerebras.net/privacy/ to review our CCPA disclosure notice.
Staff Software Engineer - Observability
Cerebras Systems builds the world's largest AI chip, 56 times larger than GPUs. This architecture allows Cerebras to deliver industry-leading training and inference speeds; over 10 times faster than GPU-based hyperscale cloud inference services. This order of magnitude increase in speed is transforming the user experience of AI applications, unlocking real-time iteration and increasing intelligence via additional agentic computation. Cerebras works with the leading model labs, global enterprises, and cutting-edge AI-native startups. OpenAI recently announced a multi-year partnership https://openai.com/index/cerebras-partnership/ with Cerebras, to deploy 750 megawatts of scale, transforming key workloads with ultra high-speed inference. About the team The Cerebras Inference team’s mission is to deliver the world’s most performant, secure, and reliable enterprise-grade AI service. We build and operate large-scale distributed systems that power AI inference at unprecedented speed and efficiency. Join us to help scale inference and accelerate AI. We’re looking for a Software Engineer focused on Observability to build and evolve the systems that give us deep visibility into large-scale, performance-critical production systems. You’ll design and implement metrics, logging, tracing, and alerting infrastructure that enables fast debugging, high reliability, and confident operation of complex distributed systems. This role sits at the intersection of platform engineering, distributed systems, and reliability. This is not a dashboards-only role — you’ll be writing production software, shaping internal platforms, and working closely with engineers across the stack. Responsibilities - Design and implement observability instrumentation across services and platforms - Build and maintain telemetry pipelines for metrics, logs, and traces at scale - Develop internal observability platforms, libraries, and tooling - Define and operationalize SLIs, SLOs, and alerting strategies - Partner with engineers to make systems debuggable by design - Reduce MTTR by enabling fast root-cause analysis during incidents - Create clear, actionable dashboards and alerts that reflect real system health - Balance telemetry signal vs cost, noise, and performance impact - Improve the developer experience around observability and debugging Qualifications: Core Engineering Skills - Strong experience in backend or systems software engineering - Proficiency in one or more of: - Go, C++, Rust, Java, Python - Solid understanding of: - Distributed systems - Networking fundamentals - Concurrency and performance tradeoffs Observability & Reliability Experience - Hands-on experience with: - Metrics, logs, and distributed tracing - Production monitoring and alerting - Familiarity with tools such as: - OpenTelemetry - Prometheus - Grafana - Datadog / Elastic / Jaeger / Tempo (or similar) - Experience designing: - High-signal alerts - Scalable telemetry pipelines - Service-level indicators and objectives Preferred Qualifications: - Experience in high-performance computing, AI/ML systems, or inference platforms - Hardware-aware observability (accelerators, GPUs, custom hardware) - Prior SRE or platform engineering background - Experience debugging large-scale production incidents - Building internal developer platforms or shared libraries Why Join Cerebras People who are serious about software make their own hardware. At Cerebras, we have built a breakthrough architecture that is unlocking new opportunities for the AI industry. With dozens of model releases and rapid growth, we’ve reached an inflection point in our business. Members of our team tell us there are five main reasons they joined Cerebras: 1. Build a breakthrough AI platform beyond the constraints of the GPU. 2. Publish and open source their cutting-edge AI research. 3. Work on one of the fastest AI supercomputers in the world. 4. Enjoy job stability with startup vitality. 5. Our simple, non-corporate work culture that respects individual beliefs. Find out more about what it's like to work at Cerebras here https://www.cerebras.ai/join-us! Apply today and become part of the forefront of groundbreaking advancements in AI! Cerebras Systems is committed to creating an equal and diverse environment and is proud to be an equal opportunity employer. We celebrate different backgrounds, perspectives, and skills. We believe inclusive teams build better products and companies. We try every day to build a work environment that empowers people to do their best work through continuous learning, growth and support of those around them. This website or its third-party tools process personal data. For more details, click here https://www.cerebras.net/privacy/ to review our CCPA disclosure notice.
Staff Site Reliability Engineer – Automation and P...
Cerebras Systems builds the world's largest AI chip, 56 times larger than GPUs. This architecture allows Cerebras to deliver industry-leading training and inference speeds; over 10 times faster than GPU-based hyperscale cloud inference services. This order of magnitude increase in speed is transforming the user experience of AI applications, unlocking real-time iteration and increasing intelligence via additional agentic computation. Cerebras works with the leading model labs, global enterprises, and cutting-edge AI-native startups. OpenAI recently announced a multi-year partnership https://openai.com/index/cerebras-partnership/ with Cerebras, to deploy 750 megawatts of scale, transforming key workloads with ultra high-speed inference. About the Role We are building a high-performance SRE function to support one of the world’s fastest-growing AI inference services, powered by the Wafer-Scale Engine (WSE). This team will help deliver world-class, ultra-reliable inference infrastructure for leading model builders such as OpenAI and other frontier labs. As a Staff SRE, you will lead the engineering effort to eliminate toil at scale by driving implementation of self-service delivery pipelines, shared observability common tooling. This role starts with ~1 month of hands-on operational immersion to gain deep familiarity with our current stack, production pain points, and high-stakes workflows. From there, your primary focus shifts to architecting and delivering the "tomorrow" layer: declarative GitOps-driven CD for model releases, capacity provisioning and cluster upgrades. Success over the first year in this role will be defined by enabling core teams, product managers, external customers, and cluster stakeholders to operate in a fully self-service model with strong reliability guarantees. You will partner with our early-career SRE sub-team, who own day-to-day operations. This will allow you to deeply understand their pain points, automate their toil, and mentor them as platform engineers. You will collaborate with the tech leads and the leadership team across core, cluster, cloud, and product stakeholders. This work will shift reliability from an ops-only burden to a shared engineering discipline that underpins frontier AI inference at scale. If you are a proven Staff+ engineer who enjoys turning complexity into elegant reliability at scale, this is your chance to lead this transformation from the front. This role does not require 24/7 on-call rotations. Key Responsibilities - Define and implement a robust strategy for delivering and running software reliably and at scale across multiple datacenters and cloud-based solutions. - Architect self-service platforms and internal tooling that lets product teams, external customers, and cluster operators safely trigger and observe critical workflows with minimal handoffs. - Define and evolve reliability practices for inference workloads, including SLOs and SLIs for latency, throughput, and accuracy stability; error budgets; blameless postmortems; chaos testing; and capacity forecasting across multi-datacenter and on-prem environments. - Mentor mid-level SREs, support critical incident escalations, and use production pain points to prioritize the highest-leverage automation work. - Measure and drive impact through clear metrics, including toil reduction, deployment velocity, SLO compliance, MTTR, and adoption of self-service workflows. Required Experience & Skills - 8+ years in SRE, infrastructure engineering, or platform engineering, with a strong record of improving automation and reliability at large scale in FAANG, hyperscaler, or similarly demanding environments. - Deep expertise operating large scale heterogenous clusters with a proprietary cloud control plane - Proven track record designing and delivering CI/CD or GitOps systems using Argo CD or similar tools, with strong safety and observability built in. - Hands-on experience with observability systems such as Loki, Tempo, Mimir, and Prometheus - Ability to lead complex projects end to end, influence cross-functional stakeholders, and communicate technical direction clearly. Nice-to-Haves - Experience with Bazel or other large-scale build systems in production. - Background in AI/ML inference systems, including model serving runtimes, GPU or wafer-scale orchestration, latency and accuracy SLOs, or drift monitoring. - Prior work on predictive autoscaling, chaos engineering, or cost-aware capacity planning for compute-intensive workloads. Location - SF Bay Area - Toronto Why Join Cerebras People who are serious about software make their own hardware. At Cerebras, we have built a breakthrough architecture that is unlocking new opportunities for the AI industry. With dozens of model releases and rapid growth, we’ve reached an inflection point in our business. Members of our team tell us there are five main reasons they joined Cerebras: 1. Build a breakthrough AI platform beyond the constraints of the GPU. 2. Publish and open source their cutting-edge AI research. 3. Work on one of the fastest AI supercomputers in the world. 4. Enjoy job stability with startup vitality. 5. Our simple, non-corporate work culture that respects individual beliefs. Find out more about what it's like to work at Cerebras here https://www.cerebras.ai/join-us! Apply today and become part of the forefront of groundbreaking advancements in AI! Cerebras Systems is committed to creating an equal and diverse environment and is proud to be an equal opportunity employer. We celebrate different backgrounds, perspectives, and skills. We believe inclusive teams build better products and companies. We try every day to build a work environment that empowers people to do their best work through continuous learning, growth and support of those around them. This website or its third-party tools process personal data. For more details, click here https://www.cerebras.net/privacy/ to review our CCPA disclosure notice.
Staff Cloud Infrastructure Engineer
Cerebras Systems builds the world's largest AI chip, 56 times larger than GPUs. This architecture allows Cerebras to deliver industry-leading training and inference speeds; over 10 times faster than GPU-based hyperscale cloud inference services. This order of magnitude increase in speed is transforming the user experience of AI applications, unlocking real-time iteration and increasing intelligence via additional agentic computation. Cerebras works with the leading model labs, global enterprises, and cutting-edge AI-native startups. OpenAI recently announced a multi-year partnership https://openai.com/index/cerebras-partnership/ with Cerebras, to deploy 750 megawatts of scale, transforming key workloads with ultra high-speed inference. Responsibilities: - Drive the design and architecture of secure, scalable cloud infrastructure and identity platforms in AWS and our own data centers. - Design and implement IAM, IGA, authentication, authorization, SSO, MFA, identity lifecycle management, and provisioning/deprovisioning solutions using modern identity platforms and standards such as SAML, OAuth2, OIDC, and SCIM. - Develop automation, integrations, and infrastructure-as-code solutions using Terraform and programming languages such as Python and Go. - Design and implement security controls for AI-powered systems, including controlled, audited, and governed agent workflows, while contributing to core security services such as service identity, secrets management, key management, authentication, and authorization. - Partner across Security, Engineering, and Infrastructure teams to drive secure-by-design solutions, implement Zero Trust principles, and reduce operational friction. - Drive technical direction and cross-team initiatives that improve the scalability, reliability, security, and developer experience of our infrastructure. - Write high-quality, reliable code, participate in architecture and code reviews, mentor engineers, and help raise the technical bar across the team. - Support critical production systems and drive operational excellence through scalability, resiliency, observability, and automation. - Participate in on-call and incident response for the Developer Productivity organization. Skills & Qualifications - 7+ years of experience in Cloud Infrastructure, Platform Engineering, Identity & Access Management, Identity Engineering, or Security Engineering. - Proven experience designing and owning complex production infrastructure or platform systems at scale. - Strong knowledge of authentication, authorization, identity lifecycle management, and federation protocols including SAML, OAuth2, OIDC, SCIM, and RBAC. - Experience designing and operating identity and access controls within AWS environments, with hands-on experience building and operating production-level services on AWS. - Experience working with container technologies and deploying and operating services on Kubernetes. - Strong automation and coding skills with Python or Go, along with Terraform or similar IaC technologies. - A security-first mindset with experience implementing Zero Trust, least-privilege access, and compliance frameworks such as SOC2, FedRAMP, or ITAR. - A strong platform and operational mindset, with experience supporting and improving production services through monitoring, troubleshooting, incident response, and automation. - Demonstrated ability to influence technical direction, drive cross-team initiatives, and mentor other engineers. - Excellent collaboration and communication skills, with a proven ability to work across teams and influence technical decisions. Preferred Skills & Qualifications - Hands-on experience with identity platforms such as Okta, Microsoft Entra ID (Azure AD), or modern IAM/IGA platforms. - Experience with Azure and/or GCP is a bonus. Why Join Cerebras People who are serious about software make their own hardware. At Cerebras, we have built a breakthrough architecture that is unlocking new opportunities for the AI industry. With dozens of model releases and rapid growth, we’ve reached an inflection point in our business. Members of our team tell us there are five main reasons they joined Cerebras: 1. Build a breakthrough AI platform beyond the constraints of the GPU. 2. Publish and open source their cutting-edge AI research. 3. Work on one of the fastest AI supercomputers in the world. 4. Enjoy job stability with startup vitality. 5. Our simple, non-corporate work culture that respects individual beliefs. Find out more about what it's like to work at Cerebras here https://www.cerebras.ai/join-us! Apply today and become part of the forefront of groundbreaking advancements in AI! Cerebras Systems is committed to creating an equal and diverse environment and is proud to be an equal opportunity employer. We celebrate different backgrounds, perspectives, and skills. We believe inclusive teams build better products and companies. We try every day to build a work environment that empowers people to do their best work through continuous learning, growth and support of those around them. This website or its third-party tools process personal data. For more details, click here https://www.cerebras.net/privacy/ to review our CCPA disclosure notice.
Software Supply Chain Security Engineer
Cerebras Systems builds the world's largest AI chip, 56 times larger than GPUs. This architecture allows Cerebras to deliver industry-leading training and inference speeds; over 10 times faster than GPU-based hyperscale cloud inference services. This order of magnitude increase in speed is transforming the user experience of AI applications, unlocking real-time iteration and increasing intelligence via additional agentic computation. Cerebras works with the leading model labs, global enterprises, and cutting-edge AI-native startups. OpenAI recently announced a multi-year partnership https://openai.com/index/cerebras-partnership/ with Cerebras, to deploy 750 megawatts of scale, transforming key workloads with ultra high-speed inference. Cerebras is seeking a Software Supply Chain Security Engineer to help build a secure foundation for our build and development workflows. In this role you will be responsible for assessing and hardening every layer of our source to artifact pipeline, from how we store and manage code to what we deploy into our clusters. The ideal candidate brings a combination of wide breadth of knowledge on a variety of software supply chain topics throughout the whole SDLC process, a pragmatic and results-driven outlook on security, and the flexibility and attention to detail to work in a fast-paced development environment without compromising our security standards. RESPONSIBILITIES - Define core security requirements for artifact build pipelines including maturing SLSA processes, and see them through from ideation to implementation - Partner with platform, infrastructure, networking, and hardware teams to identify supply chain gaps and deliver end-to-end solutions for ensuring confidence in CI/CD artifacts - Develop threat models for each layer of the build and deploy stack, outlining trust boundaries and the interplay between first and third-party mechanisms - Work with engineering leads and devops architects to build in secure supply chain principles from the beginning - Balance engineering outcomes with security controls, enabling the company to deliver securely quickly - Document security posture and strategy for technical and nontechnical audiences from both 1p and 3p perspectives SKILLS AND QUALIFICATIONS - 8-10 years of experience with software supply chain and SDLC topics including secure code management, build pipeline hardening, artifact signing and attestation, and the end-to-end integration thereof. - Masters in Computer Science or PhD (preferred) - Strong hands-on engineering abilities in devops and SDLC contexts - Ability to work in fragmented and legacy build environments, experience with modernizing stacks is a plus - Familiarity with AWS, Jenkins, SLSA, and best practices for secure artifact provenance and builds are a plus - Strong written communication skills, with the ability to make security concepts approachable for non-specialists. - Direct work with Agentic workflows and deep understanding of LLM and reasoning cycles. Why Join Cerebras People who are serious about software make their own hardware. At Cerebras, we have built a breakthrough architecture that is unlocking new opportunities for the AI industry. With dozens of model releases and rapid growth, we’ve reached an inflection point in our business. Members of our team tell us there are five main reasons they joined Cerebras: 1. Build a breakthrough AI platform beyond the constraints of the GPU. 2. Publish and open source their cutting-edge AI research. 3. Work on one of the fastest AI supercomputers in the world. 4. Enjoy job stability with startup vitality. 5. Our simple, non-corporate work culture that respects individual beliefs. Find out more about what it's like to work at Cerebras here https://www.cerebras.ai/join-us! Apply today and become part of the forefront of groundbreaking advancements in AI! Cerebras Systems is committed to creating an equal and diverse environment and is proud to be an equal opportunity employer. We celebrate different backgrounds, perspectives, and skills. We believe inclusive teams build better products and companies. We try every day to build a work environment that empowers people to do their best work through continuous learning, growth and support of those around them. This website or its third-party tools process personal data. For more details, click here https://www.cerebras.net/privacy/ to review our CCPA disclosure notice.
Software Engineer - New Grad 2026
Cerebras Systems builds the world's largest AI chip, 56 times larger than GPUs. This architecture allows Cerebras to deliver industry-leading training and inference speeds; over 10 times faster than GPU-based hyperscale cloud inference services. This order of magnitude increase in speed is transforming the user experience of AI applications, unlocking real-time iteration and increasing intelligence via additional agentic computation. Cerebras works with the leading model labs, global enterprises, and cutting-edge AI-native startups. OpenAI recently announced a multi-year partnership https://openai.com/index/cerebras-partnership/ with Cerebras, to deploy 750 megawatts of scale, transforming key workloads with ultra high-speed inference. ABOUT THE ROLE As a New Graduate Software Engineer, you will collaborate with world-class engineers to solve real-world challenges across the software stack. You will contribute to software systems that directly impact performance, scalability, reliability, and usability of next-generation AI infrastructure. This role is ideal for candidates with a strong interest in systems programming, networking, embedded systems, distributed infrastructure, or performance-oriented software engineering. Our teams work very closely with hardware, so candidates with experience primarily focused on higher-level application development or AI applications may be less aligned with the nature of this work. You will gain hands-on experience working across multiple layers of a fully integrated AI-accelerated system, including advanced hardware interfaces, low-level infrastructure, distributed systems, compilers, and ML frameworks. RESPONSIBILITIES - Collaborate with experienced engineers on real-world systems and infrastructure challenges. - Design, implement, test, and debug software solutions that directly impact system performance and reliability. - Contribute to low-level software components interacting closely with hardware and networking infrastructure. - Learn and contribute across multiple layers of a fully integrated AI-accelerated platform. - Participate in debugging, performance optimization, and system bring-up activities. - Develop tools and infrastructure to improve observability, reliability, and scalability. - Work cross-functionally with hardware, firmware, compiler, and infrastructure teams. REQUIRED QUALIFICATIONS - Recently graduated or currently enrolled in a university program in Computer Science, Computer Engineering, Electrical Engineering, or a related discipline (graduating in 2026). - Proficiency in C/C++ programming languages - Interest or exposure to systems/socket programming, networking, embedded systems, operating systems, device drivers, distributed systems, or network performance. - Desire to work close to hardware/network and learn low-level engineering concepts. - Detail-oriented but keen to learn the bigger picture and step out of comfort zone. - Excellent communication and collaboration skills. - Hybrid role based in Toronto, ON, or Sunnyvale CA ASSETS - Experience with Linux systems programming or debugging tools. - Familiarity with TCP/RDMA protocols, RPCs, and packet trace tools such as Wireshark - Exposure to networking concepts, device drivers, embedded systems, or distributed infrastructure. - Familiarity with performance optimization or concurrent programming concepts. - Interest in large-scale AI infrastructure and accelerated computing systems. Why Join Cerebras People who are serious about software make their own hardware. At Cerebras, we have built a breakthrough architecture that is unlocking new opportunities for the AI industry. With dozens of model releases and rapid growth, we’ve reached an inflection point in our business. Members of our team tell us there are five main reasons they joined Cerebras: 1. Build a breakthrough AI platform beyond the constraints of the GPU. 2. Publish and open source their cutting-edge AI research. 3. Work on one of the fastest AI supercomputers in the world. 4. Enjoy job stability with startup vitality. 5. Our simple, non-corporate work culture that respects individual beliefs. Find out more about what it's like to work at Cerebras here https://www.cerebras.ai/join-us! Apply today and become part of the forefront of groundbreaking advancements in AI! Cerebras Systems is committed to creating an equal and diverse environment and is proud to be an equal opportunity employer. We celebrate different backgrounds, perspectives, and skills. We believe inclusive teams build better products and companies. We try every day to build a work environment that empowers people to do their best work through continuous learning, growth and support of those around them. This website or its third-party tools process personal data. For more details, click here https://www.cerebras.net/privacy/ to review our CCPA disclosure notice.
Senior Staff Electrical Engineer
Cerebras Systems builds the world's largest AI chip, 56 times larger than GPUs. This architecture allows Cerebras to deliver industry-leading training and inference speeds; over 10 times faster than GPU-based hyperscale cloud inference services. This order of magnitude increase in speed is transforming the user experience of AI applications, unlocking real-time iteration and increasing intelligence via additional agentic computation. Cerebras works with the leading model labs, global enterprises, and cutting-edge AI-native startups. OpenAI recently announced a multi-year partnership https://openai.com/index/cerebras-partnership/ with Cerebras, to deploy 750 megawatts of scale, transforming key workloads with ultra high-speed inference. Cerebras is seeking an exceptional Senior Staff Electrical Engineer to drive our system hardware development. This role is focusing on defining and driving system architecture and strategy for high-performance compute, AI/ML accelerators and advanced ASIC platforms. Responsibilities - Lead system architecture and hardware design from concept to production release. - Own hardware development, system specification, schematic and layout design, bring up, debug, validation and system integration. - Drive future technology development with internal and industry partners. - Collaborate with various design and operations teams: manufacturing operations & test engineering, supply chain, ASIC, mechanical, signal integrity, power delivery, layout, embedded & diagnostic, etc. Minimum Qualifications - B.S.c, M.S.c, or Ph.D. degree in electrical engineering, or equivalent experience. - Minimum 10 years of experience as a board design engineer (exceptional candidates with other experience levels will also be considered). - Experience with system design, digital circuits, power delivery, voltage regulators, and high-speed signal integrity. - System-level understanding and familiarity with production environment. - Proficiency with lab/test scripting SW (e.g., Python). - Personal skills: self-instruction, multi-disciplined, multi-tasking and good interpersonal relationship. - Experience working on server hardware, AI accelerators, hardware accelerator, datacenter, AI Hardware, enterprise product, GPU, CPU, TPU, server platform etc. Preferred Qualifications - Demonstrated expertise in enterprise and data center products. - Solid background in execution from concept, bring up, development and product launch end-to-end product development cycle. - Deep technical knowledge of system hardware designs and trade-off from electrical, mechanical, thermal, signal and power integrity domains. We are hiring a senior level candidate with atleast 10+ years of experience. Location: Sunnyvale, CA The base salary range for this position is $210,000 to $240,000+ annually. Actual compensation may include bonus and equity, and will be determined based on factors such as experience, skills, and qualifications. Why Join Cerebras People who are serious about software make their own hardware. At Cerebras, we have built a breakthrough architecture that is unlocking new opportunities for the AI industry. With dozens of model releases and rapid growth, we’ve reached an inflection point in our business. Members of our team tell us there are five main reasons they joined Cerebras: 1. Build a breakthrough AI platform beyond the constraints of the GPU. 2. Publish and open source their cutting-edge AI research. 3. Work on one of the fastest AI supercomputers in the world. 4. Enjoy job stability with startup vitality. 5. Our simple, non-corporate work culture that respects individual beliefs. Find out more about what it's like to work at Cerebras here https://www.cerebras.ai/join-us! Apply today and become part of the forefront of groundbreaking advancements in AI! Cerebras Systems is committed to creating an equal and diverse environment and is proud to be an equal opportunity employer. We celebrate different backgrounds, perspectives, and skills. We believe inclusive teams build better products and companies. We try every day to build a work environment that empowers people to do their best work through continuous learning, growth and support of those around them. This website or its third-party tools process personal data. For more details, click here https://www.cerebras.net/privacy/ to review our CCPA disclosure notice.
Senior Software Development Engineer in Test (SDET...
Cerebras Systems builds the world's largest AI chip, 56 times larger than GPUs. This architecture allows Cerebras to deliver industry-leading training and inference speeds; over 10 times faster than GPU-based hyperscale cloud inference services. This order of magnitude increase in speed is transforming the user experience of AI applications, unlocking real-time iteration and increasing intelligence via additional agentic computation. Cerebras works with the leading model labs, global enterprises, and cutting-edge AI-native startups. OpenAI recently announced a multi-year partnership https://openai.com/index/cerebras-partnership/ with Cerebras, to deploy 750 megawatts of scale, transforming key workloads with ultra high-speed inference. In AI infrastructure organization, simplifying large hardware deployments with push button, single pane of glass for observability/monitoring and software capabilities for build-in resiliency are some of the key focus areas. As senior software development engineer in Test, we are looking for a candidate who can make a big impact on how we test and validate thousands of nodes in large deployments to ensure the cluster is 99.999% reliable. Responsibities: - You will be hired to innovate and execute tests on cutting edge AI infrastructure. Be a thinker, define optimized test strategies and methodologies. - Cerebras is growing and innovating at a rapid pace and so is the ML community and AI models. Be a quick learner, adapt to new technologies, and bring your expertise. We are looking to hire a team with a diverse skill set. - Deep understanding of how large-scale distributed ML training and inference works. Build a strong understanding of how to break these large distributed systems challenge into smaller components that can be unit tested - Automate first approach - In large scale deployment, automation drives efficiency and scalability. Aim for 100% automated tests to test all cluster features in areas of high availability, failure scenarios, performance, stress and security - Champion cluster security, reliability for uptime of 99.9999% and ease of use with observability. - Test all components of AI cluster including but not limited to cluster software involving kubernetes, prometheus and grafana. Cluster hardware components like ML wafer scale accelerators, CPU runtime nodes, High speed swarmx interconnect, High speed data transfer of weights through memoryx interconnect - Qualify cluster networking solutions which consists of high-speed switches, routers and optics from various vendors - Qualify cluster security features including OS security, network security, cloud compliance user access and security certifications Qualifications: - Bachelor's or master's degree in engineering in computer science, electrical, AI, data science of related field - 10+ years of experience in testing one of areas like enterprise software, distributed systems, datacenter hardware and software - Experience working in large enterprise or cloud networking infrastructure, high speed switches, routers, firewalls - Experience in qualifying networking vendor platforms like Juniper, Arista or Cisco and network test equipment like Ixia/Spirent - Experience in Datacenter technology like BGP, ECN, PFC - Experience testing networking security, compliance and firewalls - Strong coding skills in one of the programming languages like python, golang or C/C++ - Strong debugging skills to debug issues in large distributed systems, hardware, and software. Experience with debugging tools like gdb, strace, networking monitors - Strong understanding of operating systems internals like memory management, file system working, security basics and performance - Strong understanding of datacenter layout, device performance characteristics like PCIe, networking and storage - Experience with cloud technologies like AWS, kubernetes and dockers. Monitoring tools like grafana, prometheus is huge plus - Understanding and experience of ML model training and inference is a huge plus - Understand of ML hardware accelerators like GPU, custom accelerator ASIC is a huge plus Why Join Cerebras People who are serious about software make their own hardware. At Cerebras, we have built a breakthrough architecture that is unlocking new opportunities for the AI industry. With dozens of model releases and rapid growth, we’ve reached an inflection point in our business. Members of our team tell us there are five main reasons they joined Cerebras: 1. Build a breakthrough AI platform beyond the constraints of the GPU. 2. Publish and open source their cutting-edge AI research. 3. Work on one of the fastest AI supercomputers in the world. 4. Enjoy job stability with startup vitality. 5. Our simple, non-corporate work culture that respects individual beliefs. Find out more about what it's like to work at Cerebras here https://www.cerebras.ai/join-us! Apply today and become part of the forefront of groundbreaking advancements in AI! Cerebras Systems is committed to creating an equal and diverse environment and is proud to be an equal opportunity employer. We celebrate different backgrounds, perspectives, and skills. We believe inclusive teams build better products and companies. We try every day to build a work environment that empowers people to do their best work through continuous learning, growth and support of those around them. This website or its third-party tools process personal data. For more details, click here https://www.cerebras.net/privacy/ to review our CCPA disclosure notice.
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