Aws And Tooling Platform Lead in San Francisco

About the Team Our Robotics team is focused on unlocking general-purpose robotics and pushing towards AGI-level intelligence in dynamic, real-world settings. Working across the entire model stack, we integrate cutting-edge hardware and software to explore a broad range of robotic form factors. We strive to seamlessly blend high-level AI capabilities with the constraints of physical systems to improve peoples’ lives. About the Role We’re looking for a GPU Inference Engineer to contribute to improvements in model serving efficiency for our Robotics research. This is a high-impact role where you’ll drive initiatives to optimize inference performance and scalability. You’ll also be engaged in model design, to help assist our researchers in developing inference-friendly models. This role is critical to scaling the team’s broader goals - it will directly enable leadership to focus on higher-leverage initiatives by building a stronger technical foundation. In this role you will: Perform engineering efforts focused on improving model serving, inference performance, and system efficiency Drive optimizations from a kernel and data movement perspective to improve system throughput and reliability Partner closely with research and product teams to ensure our models perform effectively at scale Design, build, and improve critical serving infrastructure to support Robotics growth and reliability needs You might thrive in this role if you: Have deep expertise in model performance optimization, particularly at the inference layer Have a strong background in kernel-level systems, data movement, and low-level performance tuning Are excited about scaling high-performing AI systems that serve real-world, multimodal workloads Can navigate ambiguity, set technical direction, and drive complex initiatives to completion This role is based in San Francisco, CA. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees. About OpenAI OpenAI i

About the Team Our Robotics team is focused on unlocking general-purpose robotics and pushing towards AGI-level intelligence in dynamic, real-world settings. Working across the entire model stack, we integrate cutting-edge hardware and software to explore a broad range of robotic form factors. We strive to seamlessly blend high-level AI capabilities with the constraints of physical systems to improve peoples' lives. About the Role You will work at the cutting edge of OpenAI's robotics hardware, partnering with hardware and software teams to develop, build, test, and iterate on robotic systems. Working closely with engineers, you will build prototypes, execute experiments, fabricate fixtures, troubleshoot hardware, and help drive rapid iteration on new robotic technologies. Your practical problem-solving and technical judgment will help move projects from concept to reality. We are looking for versatile, hands-on generalists who enjoy solving problems across mechanical, electrical, fabrication, and experimental domains. The ideal candidate will have strong experience in high-velocity and early-stage hardware development environments, provide thoughtful feedback to engineering teams, and help improve both hardware and development processes. This role will help accelerate robotics development by enabling fast, high-quality iteration on new hardware concepts and systems. This role is based in San Francisco, CA, and is in-person 5 days a week. In this role, you will: Partner closely with engineers, researchers, and other members of the robotics team to support prototype development, experimentation, and hardware iteration. Build, modify, troubleshoot, and repair robotic systems and electromechanical assemblies spanning structural, electrical, sensing, and actuation subsystems. Design and fabricate fixtures, adapters, test equipment, and other prototype hardware that accelerate development efforts. Execute low-volume builds, engineering changes, and rework activities acro

About the Team Our Robotics team is focused on unlocking general-purpose robotics and pushing towards AGI-level intelligence in dynamic, real-world settings. Working across the entire model stack, we integrate cutting-edge hardware and software to explore a broad range of robotic form factors. We strive to seamlessly blend high-level AI capabilities with the constraints of physical systems to improve peoples’ lives. About the Role We are seeking a Mechanical Engineer to lead the engineering, characterization, and productionization of flexible and compliant components in robotic platforms. You will partner closely with cross-functional teams to translate material concepts into engineered subsystems that meet functional, durability, and manufacturing requirements. This role focuses on understanding how soft materials behave in dynamic mechanical systems — including fatigue, creep, hysteresis, wear, and environmental degradation — and designing assemblies that perform consistently at scale. You will work with materials such as elastomers, foams, thermoplastic polyurethanes (TPUs), engineered fabrics, knitted and woven textiles, cables, and other flexible load-bearing or transmission elements, integrating them with rigid hardware, sensors, and actuators using fabrication methods such as bonding, molding, lamination, and sewn assemblies. This role is based in San Francisco, CA, and requires in-person presence 4 days a week. In this role, you will Design and integrate compliant or flexible materials into mechanical subsystems and rigid hardware interfaces. Leverage FEA tools to characterize material behavior under operational loads, including tension, compression, abrasion, fatigue, and environmental exposure. Develop test methods and validation protocols to evaluate durability, performance, and failure modes of soft components. Collaborate with cross-functional teams to transition early prototypes into manufacturable designs. Source and evaluate materials in collaboratio

About the Team The Human Data team at OpenAI is responsible for identifying and mitigating risks in advanced AI systems by designing evaluations, surfacing vulnerabilities, and collaborating closely with researchers to strengthen model reliability and public trust. About the Role As a Research Program Manager, you will lead initiatives that test the safety and robustness of OpenAI’s models through creative experimentation and structured evaluation. You’ll coordinate efforts across research and engineering teams to transform ambiguous risks into concrete research programs and influence future model development and deployment. We’re looking for people who are technically savvy, comfortable with ambiguity, and excited about shaping the future of safe AI. This role is based in San Francisco, CA. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees. In this role, you will: Lead programs that explore unexpected model behaviors and identify failure modes. Translate vague or emergent risk signals into clear priorities and actionable research plans. Design and run creative evaluations, experiments, and red-teaming campaigns. Collaborate with research, product, and deployment teams to integrate findings into model training and deployment cycles. Develop repeatable systems for tracking model performance and understanding emerging behavior patterns. You might thrive in this role if you: Have strong experience in technical program management, with excellent organizational and communication skills. Are familiar with large language models, prompt engineering, or model evaluation techniques. Are comfortable managing fast-paced, high-uncertainty projects and shaping them from the ground up. Are creative and resourceful in devising new methods for testing model behavior and performance. Can effectively coordinate across technical and non-technical stakeholders to drive alignment and execution. About OpenAI OpenAI is an AI resear

OpenAI’s charter calls on us to ensure the benefits of AI are distributed broadly and safely. Our Health AI team focuses on expanding access to high-quality medical expertise and aims to set a high standard for deploying AI responsibly in high-stakes domains. Improving health will be one of the defining impacts of AGI. Today, millions of people lack access to reliable medical information, and clinicians around the world face increasing time and resource constraints. We are building AI systems that support patients, clinicians, and health workers, while meeting the highest standards for safety, reliability, and privacy. We are seeking full stack software engineers to help build and scale products used by consumers and care providers globally. You will work closely with product, design, and research teams to ship real systems in a fast-moving, high-impact environment. In this role, you will: Design and build scalable fullstack systems for consumer and enterprise health. Own end-to-end feature development—from early design and implementation through deployment, monitoring, and iteration. Build and maintain data pipelines and services that meet strict privacy, security, and compliance requirements (e.g., HIPAA). Collaborate closely with researchers and safety teams to integrate reliability, evaluation, and guardrails into production systems. Debug, optimize, and harden systems to support high availability, performance, and global scale. Take ownership of ambiguous problems and drive them to practical, high-quality solutions. You might thrive in this role if you: Are deeply motivated by improving health outcomes and expanding access to medical expertise. Are a strong engineer who enjoys building durable, well-designed systems. Have 5+ years of experience writing maintainable, production-quality code. Can operate with high agency—owning problems end-to-end with minimal supervision. Enjoy working in fast-moving, cross-functional teams with engineers, product managers, desi

About the Team The OpenAI Robotics team is focused on unlocking general-purpose robotics and pushing towards AGI-level intelligence in dynamic, real-world settings. Working across the entire model stack, we integrate cutting-edge hardware and software to explore a broad range of robotic form factors. We strive to seamlessly blend high-level AI capabilities with the constraints of physical systems to improve peoples’ lives. About the Role OpenAI Robotics depends on high-quality real-world robot data from a large, live operational environment. That environment has many deployed workcells, changing configurations, and little tolerance for downtime. We are seeking a Field Engineer to help keep that environment running well. You will own the day-to-day technical health of robotic workcells used in ongoing data acquisition operations, diagnose and resolve failures across hardware and software, and build the practical tools, documentation, and support workflows that make operators and technicians more effective. The work is close to the floor, close to the failure modes, and close to the research impact. This role sits at the intersection of software, robotics hardware, and live operations. The best people in it are practical, technically sharp, calm under pressure, and motivated by making real systems work reliably at scale. This role will be based in San Francisco, CA 5 days per week and offer relocation assistance to new employees. In this role, you will: Serve as an engineering owner for keeping a fleet of robotic workcells online in daily operation. Diagnose, fix, mitigate, or escalate issues spanning mechanics, electronics, controls, software interfaces, logs, and configuration. Partner closely with technicians, operators, and engineering teams to improve scalable fleet support processes. Build or spec lightweight hardware and software tools that improve monitoring, diagnostics, recovery, and handoffs. Create documentation, SOPs, and diagnostic playbooks that turn en

About the Team The OpenAI Robotics team is focused on unlocking general-purpose robotics and pushing towards AGI-level intelligence in dynamic, real-world settings. Working across the entire model stack, we integrate cutting-edge hardware and software to explore a broad range of robotic form factors. We strive to seamlessly blend high-level AI capabilities with the constraints of physical systems to improve peoples’ lives. About the Role As a Research Engineer, Distributed Data Systems, you will design and scale the infrastructure that powers large-scale multimodal training and evaluation at OpenAI. You’ll manage distributed data pipelines, collaborate closely with researchers to translate requirements into robust systems, and harden pipelines that serve as the backbone for OpenAI's rapid iteration cycles. We’re looking for engineers who are detail-oriented, have strong experience with distributed systems, and excel at building reliable infrastructure in high-stakes environments. This role is based in San Francisco, CA. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees. In this role, you will: Design, build, and maintain data infrastructure systems such as distributed compute, data orchestration, distributed storage, streaming infrastructure, machine learning infrastructure while ensuring scalability, reliability, and security. Ensure our data platform can scale by orders of magnitude while remaining reliable and efficient. Partner with researchers to deeply understand requirements and translate them into production-ready systems. Harden, optimize, and maintain critical data infrastructure systems that power multimodal training and evaluation. You might thrive in this role if you: Have strong experience with distributed systems and large-scale infrastructure with a strong interest in data. Are detail-oriented and bring rigor to building and maintaining reliable systems. Demonstrate excellent software enginee

About the Role We are seeking a Cloud Infrastructure Engineer to help design and evolve the platforms that power OpenAI’s products. In this role, you will be a hands-on technical leader, driving the architecture, scalability, reliability, and security of critical infrastructure systems. You will help define how we build and operate infrastructure at the next order of magnitude, while influencing technical direction across teams. This role is both deeply technical and highly strategic, requiring strong ownership, sound judgment, and the ability to partner effectively across engineering, product, and research organizations. In this role, you will: Design and build scalable, reliable, and secure infrastructure platforms that power OpenAI products Evolve cloud infrastructure abstractions that enable rapid product development across teams Architect systems to support significant growth, performance, and operational complexity Improve server orchestration, networking, distributed systems reliability, and infrastructure security posture Influence technical direction and infrastructure strategy across multiple teams Partner closely with product, research, and engineering teams to align infrastructure with evolving needs Own operational excellence, including participation in on-call rotations, incident response, and production readiness Mentor engineers and raise the overall technical bar of the organization Contribute to a culture of high ownership, low ego, and thoughtful collaboration You might thrive in this role if you: 8+ years of experience building and operating large-scale infrastructure systems Deep expertise in Kubernetes and container orchestration at scale Strong experience designing cloud abstractions and platform infrastructure (AWS, GCP, Azure, or similar) Proven track record of leading complex technical initiatives across teams Experience operating highly reliable, secure, and scalable distributed systems Security engineering experience or security backgroun

About the Team OpenAI's Legal team plays a crucial role in furthering OpenAI's mission by tackling innovative, fundamental legal issues in AI and supporting OpenAI’s growth. If you're passionate about doing significant and unique work, this team is for you. The team comprises professionals from diverse fields, including technology, AI, privacy, IP, corporate, employment, tax law, regulatory, and litigation. About the Role As a Senior Corporate Counsel, M&A, you will support and lead mergers, acquisitions, joint ventures, investments, warrants, infrastructure financings and other corporate transactions through the full lifecycle and provide strategic advice to the business on a broad range of transactional matters. This is a unique opportunity to be directly involved in the forefront of the legal and technology field. This role will work closely with our Corporate Development, Finance, Product & Research, People, and other teams and report to our Deputy General Counsel, M&A, Investments and Strategic Transactions. This role is based in San Francisco, CA. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees. In this role, you will: Lead and support mergers, acquisitions, joint ventures, investments, partnerships and other strategic transactions through the full lifecycle, including opportunity assessment, deal structuring, negotiation, due diligence, and execution Draft, review, and negotiate transaction documents, including definitive agreements, letters of intent, and ancillary documents. Provide strategic advice to the corporate development team, senior management and other internal stakeholders regarding transactions and M&A strategy and deal execution. Work collaboratively with multiple cross-functional teams across the company, including on post-transaction and integration matters. Support the corporate legal team on a broad range of corporate matters, including financings, liquidity events,

About the Role We’re looking for a Procurement Enablement Lead to improve how employees and stakeholders navigate procurement at OpenAI. This role partners across Procurement, Finance, Legal, Security, Privacy, and Enterprise Technology to simplify workflows, improve guidance, and support scalable procurement experiences across the procurement lifecycle. You’ll translate procurement policies and operational requirements into clearer processes, better-enabled systems, and more intuitive employee experiences that reduce friction while strengthening consistency and controls as OpenAI continues to grow. This role is ideal for someone who combines operational judgment, process design, and strong cross-functional partnership skills. You should be comfortable working in evolving environments where systems and workflows are still being built and continuously improved. A key part of the role will be identifying opportunities to use AI and automation to streamline workflows, reduce manual work, and improve service delivery across Procurement operations. This role is based in San Francisco, CA. We use a hybrid work model of 3 days per week in the office and offer relocation assistance to new employees. In this role, you will: Partner across Procurement, Finance, Legal, Security, Privacy, and Enterprise Technology to improve how procurement work gets requested, routed, approved, and supported across the spend lifecycle. Help design and improve procurement intake, guidance, and workflow experiences that make it easier for employees and stakeholders to navigate procurement processes. Translate procurement policies, operational needs, stakeholder feedback, and operational insights into clear business requirements for workflows, automation, reporting, analytics, and process improvements. Partner with Enterprise Technology and tool owners to support workflow configuration improvements across procurement systems, including approvals, routing, SLAs, escalation paths, exception handlin

About the Team OpenAI’s GTM Partnerships team builds a strategic, global partner ecosystem designed to accelerate customer success, enable enterprise AI adoption, and drive durable growth in support of OpenAI’s mission. We work closely across Product, Research, Sales, Legal, Communications, and regional leadership to ensure a cohesive strategy and disciplined execution with our most strategic partners. About the Role We are hiring a Partner Director, Global McKinsey Alliance to lead and scale OpenAI’s relationship with McKinsey & Company. This role will serve as the single accountable executive owner of the alliance globally. You will define the partnership strategy and operating model, translating executive alignment into scaled commercial and transformation outcomes across regions and industries. You will work closely with McKinsey’s global leadership, industry and functional practices, and technology organizations—including QuantumBlack, AI by McKinsey—to develop differentiated enterprise AI offerings, pursue complex transformation opportunities, and help customers move from strategy to production deployment and measurable value. The role carries responsibility for the health, performance, and long-term expansion of the partnership. Success requires senior executive presence, sound judgment, commercial discipline, technical fluency, and the ability to operate effectively across a complex, partner-led organization. In this role, you will: Own the global McKinsey relationship, including alliance strategy, pipeline growth, enterprise impact, deployment scale, and long-term expansion across priority industries. Define and run the partnership’s operating model across executive governance, joint planning, regional execution, opportunity management, resource allocation, and escalation. Serve as OpenAI’s senior executive counterpart to McKinsey’s global leadership and relevant industry, functional, technology, and regional leaders. Develop a differentiated alliance s

About the Team The Real Estate & Workplace (REW) team creates and operates the workplaces and services that help OpenAI employees do their best work. Within Workplace Experience, Transportation connects our global office network through programs designed around employee needs, local conditions, and operational excellence. About the Role As Global Transportation Program Sr. Manager, you will own the strategy, expansion, and day-to-day performance of OpenAI’s employee transportation programs. You will make it easier for employees to get to and between our workplaces through reliable, accessible, and cost-effective commuting options. We’re looking for a builder who has launched and scaled employee transportation programs across countries in a fast-growing organization. You will translate our global workplace expansion plans into a transportation roadmap, establishing the systems, vendor partnerships, and operating practices needed to support new markets and growing offices. You’ll balance global consistency with local needs, creating repeatable approaches that enable local teams to deliver reliable service as the company scales. Location and work model : San Francisco, CA based, with required travel up to 10% to our global offices. This role will be in office Monday - Wednesday, with the option to work from home Thursdays and Fridays. In this role, you will: Own a global transportation expansion roadmap aligned with office openings, headcount growth, and changing commute demand. Prioritize investments, forecast capacity and costs, and lead launches from market assessment through operational readiness and ongoing service delivery. Manage the global employee transportation portfolio across shuttles, parking, micromobility, transit and commuter benefits, and EV charging. Determine the right service mix for each market based on employee needs, local infrastructure, accessibility, and cost. Build a scalable operating model across regions, including repeatable launch pla

About the Team OpenAI’s Legal team plays a crucial role in advancing our mission by tackling innovative and fundamental legal issues in AI. The team includes professionals from diverse legal fields—technology, AI, infrastructure, privacy, IP, corporate, employment, tax, regulatory, and litigation—who collaborate closely with colleagues across the company. If you are passionate about being a technology lawyer working on cutting-edge challenges, you’ll thrive here. About the Role We are seeking an experienced attorney to serve as the commercial legal lead for Marketing. Based in San Francisco, you will be a primary legal partner to OpenAI’s rapidly growing global Marketing organization, supporting high-impact campaigns, creative production, talent and creator relationships, sponsorships, events, and the agreements and rights that make that work possible. You will work closely with Marketing, Communications, Partnerships, Procurement, Finance, Product, and colleagues across Legal, including Product, Privacy, Regulatory, and IP/Brand, to deliver practical advice at the pace of the business. This is a unique opportunity to help shape OpenAI’s Marketing efforts, negotiate sophisticated transactions, and build scalable legal frameworks for responsible global growth. We operate on a hybrid work model of three days per week in the office and offer relocation support for new employees. In this role, you will: Serve as the commercial legal lead for Marketing, partnering closely with Brand, Creative, Product Marketing, Design, Film and Photo, Performance Marketing, Partner Marketing, Communications, and regional teams from concept through launch. Draft and negotiate a wide range of marketing and entertainment agreements, including agency, production, talent and creator, sponsorship, event, media, content-licensing, marketing-technology, and vendor agreements. Structure and clear the rights needed for campaigns and content, including talent and appearance releases, publicity and

About the Team Our Safety Systems team is at the forefront of OpenAI's mission to build and deploy safe AGI, driving our commitment to AI safety and fostering a culture of trust and transparency. Within Safety Systems, the Model Policy team works to ensure that increasingly capable models behave safely and reliably in real-world environments. We investigate emerging model failures, define the behavior models should exhibit instead, and develop the data, evaluations, monitoring, and safeguards needed to improve and validate that behavior. Our work connects alignment research with the practical challenges of training and deploying frontier models. About the Role In this role, you will shape how OpenAI understands and addresses real-world risks that emerge from model misalignment as models become more autonomous and operate over longer horizons. You will investigate how misaligned behavior emerges across extended trajectories - including when models persist toward the wrong objective, take unsafe shortcuts, lose track of instructions, exploit weaknesses in their environment, or circumvent constraints - and translate these insights into behavioral policies, evaluations, monitoring, and safeguards. This role is ideal for someone who wants to turn alignment and safety concerns into concrete, empirically grounded improvements to frontier AI systems. Your Responsibilities: Identify vulnerabilities that emerge as models interact with tools, data, and external systems, and translate them into model- and system-level safeguards. Develop threat models and empirical frameworks for understanding harmful outcomes from misaligned behavior. Build frameworks for understanding harmful outcomes arising from model misalignment. Identify the underlying behaviors and system conditions that drive those outcomes. Turn findings into policy frameworks, evaluation criteria, online measurement and safeguards. Develop human data campaigns and gold sets to ground measurement and evaluation of eme

About the Team The GTM Strategy & Growth team drives the growth and evolution of our B2B business across products, customer segments, and routes to market. We partner closely with Product, Sales, Success, Data Science, Finance, and Marketing to define and execute go-to-market strategies for new product launches, commercialization models, customer growth initiatives, and market expansion opportunities. Our work sits at the intersection of product strategy, growth, and operations — shaping how we bring products to market, how we measure success, and how we scale adoption across customer segments. We operate across both strategic and highly operational domains, from defining long-term growth bets and commercial strategy to building launch plans, tracking performance, and driving cross-functional execution across the business. About the Role We’re looking for a strategic, hands-on individual contributor to join our GTM Strategy & Growth team and help shape how we grow and scale our B2B business across products, customer segments, and routes to market. This is a generalist role for someone who combines strong product intuition with thoughtful GTM strategy and can flex seamlessly between strategic thinking and operational execution. You’ll translate business priorities into clear growth strategies, operating plans, and cross-functional execution. Your work may span product launches, commercialization models, customer growth initiatives, market expansion, and the systems and processes that help the business scale. You should be highly analytical, comfortable working across a range of products and business problems, and experienced navigating complex cross-functional environments. Experience with technical or API-based products is valuable, but the most important qualities are strategic range, sound judgment, and the ability to turn customer, product, and market insights into practical recommendations and action. This role is based in San Francisco office, 4-5 times