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OpenAI

Data Center Compute Infrastructure

San Francisco$230k–$490kfulltimemidAdded today

About this role

OpenAI's Compute organization seeks infrastructure engineers to design, build, and operate the massive distributed systems powering frontier AI models. You'll solve complex problems spanning distributed systems, hardware, manufacturing, supply chain, and data center operations at unprecedented scale.

What you'll do

  • Build, scale, and operate OpenAI's global compute infrastructure supporting AI model training and deployment
  • Solve complex technical problems across software, hardware, manufacturing, supply chain, and data center systems
  • Improve reliability, performance, efficiency, and scalability of critical infrastructure
  • Partner with cross-functional teams to bring new compute capacity online quickly and reliably
  • Identify bottlenecks in technical, operational, and physical systems and develop solutions
  • Build tools, processes, and systems that improve execution at massive scale

What they're looking for

  • Complex systems design and scaling
  • Distributed systems architecture
  • GPU cluster or high-performance computing experience
  • Hardware systems and manufacturing knowledge
  • Data center operations and infrastructure
  • Supply chain and capital project management
  • Cross-disciplinary collaboration (software, hardware, operations, facilities)
  • Technical judgment and execution bias
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OpenAI

OpenAI builds AI infrastructure and products, including large-scale data center campuses for AI computing and generative AI applications for enterprise customers. The company is hiring civil engineers, project engineers, electrical design engineers, data center R&D engineers, and AI deployment engineers to expand its infrastructure capabilities and help customers deploy AI solutions.

View all jobs at OpenAI

Likely interview questions

  • Describe a complex technical system you've built or scaled—what were the biggest bottlenecks and how did you solve them?
  • How have you approached working across disciplines like hardware, software, and operations when they have conflicting priorities?
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