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OpenAI

Technical Program Manager, Compute Infrastructure

Lead end-to-end GPU cluster delivery across partners, managing hardware, networking, and capacity at scale.

OpenAIText summary from the June 2026 archive. original source →

The role

This Technical Program Manager role oversees large-scale GPU cluster deployment and compute infrastructure that powers ChatGPT and training workloads. Reporting into an engineer-first TPM team, the role bridges hardware providers, engineering teams, and leadership to bring production-ready capacity online reliably and at massive scale.

What you'd do

  • Own end-to-end delivery of new compute SKUs and GPU clusters across external partner networks
  • Drive multi-threaded bring-up programs spanning hardware, networking, power, and cooling infrastructure
  • Interface with chip vendors to derisk onboarding of new hardware platforms
  • Build and operationalize program mechanisms including roadmaps, milestones, and risk registers
  • Partner with engineers to improve cluster reliability, repeatability, and automation
  • Support physical and logical bring-up of network Points-of-Presence including rack deployment
  • Coordinate cross-functional readiness across security, finance, operations, and research teams
  • Manage handoffs and integration across teams and external partners
  • Identify bottlenecks and drive systemic process improvements
  • Provide executive visibility on portfolio progress, tradeoffs, and risks

What they're looking for

  • Degree in hard science or demonstrated engineering expertise
  • 5+ years program management experience on major capital or hyperscaler infrastructure projects
  • Proven ability to own and deliver complex projects independently
  • Experience managing cross-functional and cross-company teams with strong communication discipline
  • Track record delivering high-profile technical projects under tight deadlines
  • Technical aptitude and history partnering with top-tier engineering or research teams
  • Experience leading external vendors including engineering firms and equipment suppliers
  • Expertise designing and implementing scalable processes for complex problems
  • Experience managing complicated dependencies in logistics and supply chains
  • Resourcefulness and comfort thriving in ambiguous, fast-paced environments

Nice to have

  • Thoughtful perspective on impacts of artificial general intelligence

Summary written by RoleDeck from the original posting. This is an extracted, own-words summary and may contain errors. The original source may have changed or expired.