[All remote jobs](https://jobicy.com/jobs.md)[![OpenAI logo](https://jobicy.com/data/server-nyc0409/galaxy/mercury/2023/03/0523b13262b12c215d8009938f5c14f1.jpeg)](https://jobicy.com/company/openai.md)[OpenAI](https://jobicy.com/company/openai.md) # Industrial Compute Review the role, location requirements, compensation details, and application process before deciding whether this opportunity fits your next career move. [Apply for this job](#job-application)[View company](https://jobicy.com/company/openai.md)ShareRemote from[USA](https://jobicy.com/job-region/usa.md)SalaryUSD 150k–300k / yrDepartment[DevOps & Infrastructure](https://jobicy.com/categories/admin.md)EmploymentFull TimeExperienceOpen levelPublished25 Oct 2026Apply before24 Nov 2026Listing views33Application actions3Application toolkit ## Make your next move. Prepare your resume, explore your fit, and draft a cover letter for this opportunity. AI Summary ## The role, at a glance. OpenAI is hiring broadly for its Industrial Compute organization to build, scale, and operate infrastructure supporting frontier AI training and serving. The role spans distributed systems, ML infrastructure, GPU fleets, hardware, data-center delivery, power, cooling, networking, manufacturing, and supply-chain execution. Candidates will work cross-functionally to improve reliability, performance, operational efficiency, and deployment speed for global compute capacity. This is a senior, highly ambiguous infrastructure opportunity requiring deep technical judgment and practical execution across software and physical systems. ## Role DNA A quick view of the complexity, pace, ownership and collaboration implied by the job description. ### Job Complexity 5/5EasyHard ### Pace & Pressure 5/5RelaxedFast-paced ### Autonomy Level 5/5GuidedFull ownership ### Communication Load 5/5IndependentCollaborative AI insightThe role addresses unprecedented-scale AI compute infrastructure across several complex technical and operational domains. It requires independently resolving ambiguous, high-impact bottlenecks while coordinating with diverse engineering and operations stakeholders. ## Salary analysis Estimated compensation compared with the broader US market for similar roles. Estimated job median (per year)Market rate$225,000US market range (per year)$160k–$320k0$352k AI insightThe employer discloses a yearly base compensation range of $150,000–$300,000 USD, with a midpoint of $225,000. Estimated US market compensation for senior AI infrastructure and data-center engineering talent is approximately $160,000–$320,000 per year; actual pay will vary substantially by specialty, level, location, and scope. ## Core skills Skills and capabilities most closely associated with this opportunity. [Distributed systems](https://jobicy.com/jobs?search_keywords=Distributed%20systems.md)[ML infrastructure](https://jobicy.com/jobs?search_keywords=ML%20infrastructure.md)[GPU clusters](https://jobicy.com/jobs?search_keywords=GPU%20clusters.md)[High-performance computing](https://jobicy.com/jobs?search_keywords=High-performance%20computing.md)[Cloud infrastructure](https://jobicy.com/jobs?search_keywords=Cloud%20infrastructure.md)[Data center engineering](https://jobicy.com/jobs?search_keywords=Data%20center%20engineering.md)[Infrastructure reliability](https://jobicy.com/jobs?search_keywords=Infrastructure%20reliability.md)[Capacity planning](https://jobicy.com/jobs?search_keywords=Capacity%20planning.md)[Network engineering](https://jobicy.com/jobs?search_keywords=Network%20engineering.md)[Hardware systems](https://jobicy.com/jobs?search_keywords=Hardware%20systems.md)[Supply chain operations](https://jobicy.com/jobs?search_keywords=Supply%20chain%20operations.md)[Facilities engineering](https://jobicy.com/jobs?search_keywords=Facilities%20engineering.md)[Performance optimization](https://jobicy.com/jobs?search_keywords=Performance%20optimization.md)[Cross-functional collaboration](https://jobicy.com/jobs?search_keywords=Cross-functional%20collaboration.md) Sample interview questionsDescribe a complex infrastructure system you helped scale and the primary bottleneck you addressed.I would explain the system context, baseline constraints, and measurable bottleneck, then describe how I used telemetry and cross-functional investigation to prioritize changes. I would quantify outcomes such as capacity gained, latency reduced, improved uptime, or faster deployment. How would you balance rapid compute-capacity deployment with reliability and operational safety? I would define non-negotiable safety and reliability gates, automate repeatable validation where possible, and use phased rollouts with clear rollback plans. This enables fast delivery while limiting the blast radius of failures. How do you approach an ambiguous problem involving software, hardware, and facilities dependencies? I begin by mapping the end-to-end system and identifying owners, constraints, interfaces, and critical-path dependencies. I then establish a shared operating cadence, use data to rank risks, and drive a small number of high-leverage decisions to unblock execution. What metrics would you use to assess the health of a large GPU compute platform? I would track capacity availability, cluster utilization, job queue time, training throughput, failure rates, mean time to detect and recover, network performance, power and thermal headroom, and deployment lead time. Metrics should connect infrastructure behavior to researcher and production workload outcomes. Give an example of improving operational maturity in a fast-moving engineering environment. I would describe introducing practical mechanisms such as service ownership, runbooks, incident reviews, capacity forecasts, change controls, and automated monitoring. The emphasis would be on lightweight processes that improve reliability and learning without slowing critical delivery. Opportunity details ## About this role. About the Team OpenAI’s Compute organization turns ambitious AI research into real-world capability by delivering the compute infrastructure behind our most advanced models. The team works across software, hardware, facilities, operations, and engineering disciplines to make enormous amounts of compute available, reliable, and efficient. As the demand for frontier AI grows, so does the complexity of the systems required to support it. Scaling this infrastructure means solving problems that cut across distributed systems, ML infrastructure, GPU fleets, power, cooling, networking, manufacturing, supply chain, and data center delivery. Our work is focused on expanding the compute foundation that enables OpenAI to train more capable models, including systems like GPT-5.6, and make frontier AI available to more people, products, and workflows. We’re looking for exceptional people across many disciplines to help build the next generation of AI infrastructure at a scale few organizations have attempted. About the Role We are hiring across a broad range of roles to help design, build, scale, and operate OpenAI’s compute infrastructure. Depending on your background, you may work on large-scale distributed systems, ML infrastructure, hardware systems, manufacturing, supply chain, data center development, or the physical engineering systems required to bring massive compute capacity online. You’ll work with teams across research, engineering, hardware, operations, and infrastructure to solve high-impact problems at extraordinary scale. This may include improving system reliability, accelerating deployment timelines, increasing operational efficiency, designing new infrastructure, or helping bring new compute platforms and facilities from concept to production. This is an opportunity to work on one of the most important infrastructure challenges in AI: building the compute foundation required to train and serve increasingly capable frontier models. Key Responsibilities * Help build, scale, and operate OpenAI’s global compute infrastructure. * Solve complex problems across software, hardware, manufacturing supply chain, and data center systems. * Improve the reliability, performance, efficiency, and scalability of critical infrastructure. * Partner with cross-functional teams to bring new compute capacity online quickly and reliably. * Identify bottlenecks across technical, operational, and physical systems, and develop practical solutions. * Build tools, processes, systems, or infrastructure that improve execution at scale. * Contribute to the long-term architecture and operational maturity of OpenAI’s compute footprint. Qualifications * Have experience building, scaling, or operating complex technical systems. * Enjoy working on ambiguous, high-impact problems where the path forward is not always defined. * Are comfortable collaborating across disciplines, including software, hardware, operations, and physical infrastructure. * Have strong technical judgment and a bias toward execution. * Care deeply about reliability, speed, safety, and operational excellence. * Are excited by the challenge of building infrastructure at unprecedented scale. * Want your work to directly support the development and deployment of frontier AI. Preferred Skills * Have experience with AI infrastructure, high-performance computing, distributed systems, GPU clusters, or cloud-scale platforms. * Have worked on hardware systems, manufacturing, supply chain, data center development, or large capital infrastructure projects. * Have domain expertise in civil, controls, mechanical, hardware, electrical, thermal, power, networking, or facilities engineering. * Have helped bring new technical platforms, data centers, factories, or large-scale systems from concept to production. * Have experience operating in fast-moving environments where technical depth and execution speed both matter. About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see [OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement](https://cdn.openai.com/policies/eeo-policy-statement.pdf). Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. To notify OpenAI that you believe this job posting is non-compliant, please submit a report through [this form](https://form.asana.com/?d=57018692298241&k=5MqR40fZd7jlxVUh5J-UeA). No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this [link](https://form.asana.com/?k=bQ7w9h3iexRlicUdWRiwvg&d=57018692298241). [OpenAI Global Applicant Privacy Policy](https://cdn.openai.com/policies/global-employee-and-contractor-privacy-policy.pdf) At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology. 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