Data Center Compute Infrastructure

Compensation

The base pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. The salary range for this position is $230K - $490K, with generous equity, performance-related bonuses, and the following benefits:

• Medical, dental, and vision insurance for you and your family, with employer contributions to Health Savings Accounts
• Pre-tax accounts for Health FSA, Dependent Care FSA, and commuter expenses (parking and transit)
• 401(k) retirement plan with employer match
• Paid parental leave (up to 24 weeks for birth parents and 20 weeks for non-birthing parents), plus paid medical and caregiver leave (up to 8 weeks)
• Paid time off: flexible PTO for exempt employees and up to 15 days annually for non-exempt employees
• 13+ paid company holidays, and multiple paid coordinated company office closures throughout the year for focus and recharge, plus paid sick or safe time (1 hour per 30 hours worked, or more, as required by applicable state or local law)
• Mental health and wellness support
• Employer-paid basic life and disability coverage
• Annual learning and development stipend to fuel your professional growth
• Daily meals in our offices, and meal delivery credits as eligible
• Relocation support for eligible employees
• Additional taxable fringe benefits, such as charitable donation matching and wellness stipends, may also be provided.

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.

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.

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.