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OpenAIOpenAISan Francisco, CA

Technical Program Manager, Compute Infrastructure

Leads end-to-end delivery of large-scale GPU clusters and compute infrastructure, managing hardware, networking, power, cooling across partners. Requires 5+ years program management in hyperscaler infrastructure and technical expertise partnering with engineering teams.

257k – 335k/yr
Hybrid5+ YOETechnical Program Management

About the role

In this role, you will:

  • Lead end-to-end delivery of both New Compute SKUs and large-scale GPU clusters across an external partner ecosystem while supporting capacity planning for training and inference.
  • Ability to contextually drive multi-threaded bring-up programs spanning hardware, networking, power, and cooling—owning plans, dependencies, and critical paths.
  • Interface with chip providers to derisk long-term onboarding to new hardware platforms by working across kernels, comms, hardware, and scheduling engineering teams.
  • Build and operationalize program mechanisms (roadmaps, milestones, risk registers, runbooks) that make delivery predictable at massive scale.
  • Partner with engineering to improve cluster turn-up reliability, repeatability, and automation, reducing time-to-serve for new capacity.
  • Coordinate cross-functional readiness (security, finance, operations, product/research stakeholders) to ship production-ready compute.
  • Manage integration and handoffs across teams and partners—ensuring consistent execution, clear communication, and fast issue resolution.
  • Identify bottlenecks and systemic gaps, then drive durable fixes across tooling, process, and partner interfaces.
  • Provide crisp executive visibility on progress, tradeoffs, and risks across a large portfolio of concurrent programs.

You might thrive in this role if you:

  • Possess a degree in a hard science, or have a demonstrated track record of engineering expertise.
  • Have 5+ years of experience in program management for major projects including capital projects or hyperscaler infrastructure deployment.
  • Demonstrate the ability to serve as the go-to person solely responsible for driving and delivering complex projects.
  • Are comfortable managing cross-functional and cross-company teams; experience driving information and decision hygiene.
  • Have an extensive track record of successfully delivering high-profile, technical projects against tight deadlines.
  • Are technically adept and have effectively partnered with engineering or fundamental research teams of the highest caliber.
  • Have experience interfacing with and leading external vendors including engineering firms, equipment suppliers, and/or construction firms.
  • Have expertise in designing and implementing simple, scalable processes that solve complex problems.
  • Have experience managing complicated dependencies such as logistics and/or supply chains.
  • Are relentlessly resourceful and thrive in ambiguous, fast-paced environments.
  • Are interested in and thoughtful about the impacts of AGI.

Skills

Gpu ClustersHardwareNetworkingCapacity PlanningRoadmapsRisk ManagementAutomationKernelsSchedulingSupply Chain
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