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Data Center Infrastructure Architect

OpenAI · San Francisco

CHECKED 1H AGO

Frontier labonsitesenior$360k–$530k
Apply on the lab’s site ↗

At a glance

Highlights

  • Define system-level architectures for high-density AI data centers at scale.
  • Build digital twins to model power, cooling and facility behavior.
  • Turn evolving AI hardware needs into practical, repeatable infrastructure.

What they offer

  • Offers Equity

Ideal candidate

Hands-on systems thinker who thrives across electrical, mechanical and software boundaries and loves turning first-principles analysis into real-world, efficient AI infrastructure.

Requirements

  • Significant experience designing or optimizing hyperscale data centers or mission-critical facilities
  • Broad knowledge of data center electrical and mechanical systems including power and cooling
  • Experience with simulation, optimization, digital-twin or physics-based modeling
  • Strong understanding of efficiency metrics including PUE, WUE, reliability and TCO
  • Experience translating operational telemetry into design improvements
  • Bachelor's in mechanical, electrical, systems engineering, applied physics or related field

Lab profile

About OpenAI

Builds safe frontier AI models and products like ChatGPT for broad benefit.

What they build

  • ChatGPT
  • OpenAI API
  • Frontier AI models

Known for

  • Frontier-scale distributed ML training
  • Massive GPU fleet and data center operations
  • Exabyte-scale data lakes and streaming
  • AI alignment and safety research

Key facts

  • Operates one of the world's largest GPU fleets
More about OpenAI →
Apply on the lab’s site ↗