GPT Infrastructure & Capacity Lead

OpenAI

United States

Remote

USD 180,000 - 280,000

Full time

14 days+
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Job summary

OpenAI’s Industrial Compute team is seeking a GPT Infrastructure Lead to drive end-to-end programs converting industrial-scale infrastructure into usable token capacity for OpenAI workloads. You will coordinate across data center delivery, power, networking, hardware deployment, workload onboarding, finance, and external partners to ensure capacity becomes productive tokens quickly and efficiently.

The role requires strong systems thinking and elite program leadership to bridge physical

Responsibilities

  • Drive end-to-end conversion of industrial-scale infrastructure investments into usable token capacity for OpenAI workloads.
  • Own execution across complex compute programs where raw infrastructure capacity must be transformed into operational GPU throughput.
  • Coordinate across data center delivery, power, networking, hardware deployment, workload enablement, finance, and external partners to ensure capacity becomes productive tokens as quickly and efficiently as possible.
  • Bridge physical infrastructure delivery with compute utilization outcomes.
  • Lead GPT Infrastructure programs across industrial compute environments, including first-party and partner-owned capacity.
  • Convert delivered power, space, and hardware capacity into production-ready token throughput.
  • Build integrated execution plans spanning construction, power energization, rack deployment, networking, cluster readiness, and workload onboarding.
  • Partner with infrastructure engineering, hardware, networking, finance, supply chain, and operations teams.
  • Drive external providers, EPCs, OEMs, utilities, and strategic partners toward agg

Job description

OpenAI’s Industrial Compute team is seeking a GPT Infrastructure Lead to drive end-to-end programs converting industrial-scale infrastructure into usable token capacity for OpenAI workloads. You will coordinate across data center delivery, power, networking, hardware deployment, workload onboarding, finance, and external partners to ensure capacity becomes productive tokens quickly and efficiently.

The role requires strong systems thinking and elite program leadership to bridge physical

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