OpenAI
GPT Infrastructure Lead
$293K–$385K
San Francisco +1 · Hybrid · Full-time · Posted Apr 27, 2026
- Location
- San Francisco
Seattle
About the job
Leads industrial-scale compute programs, turning infrastructure investments into production-ready GPU capacity and token throughput for OpenAI workloads.
What you'll do
- Coordinate end-to-end delivery across construction, power, hardware, networking, cluster readiness, and workload onboarding.
- Drive internal teams, external providers, and strategic partners to resolve bottlenecks and meet deployment timelines.
- Establish operating cadences, dashboards, forecasts, executive reporting, and repeatable deployment models.
What they ask for
- Experience leading hyperscale infrastructure, data center, manufacturing, or industrial deployment programs.
- Understanding of how power, hardware, networking, and software combine into usable compute.
- Ability to coordinate effectively with engineers, operators, executives, and external partners.
- Ability to structure ambiguous work, maintain momentum, and translate technical execution into business outcomes.
Nice to have
- Experience with GPU clusters, AI infrastructure, hyperscale data centers, or industrial technology programs.
- Experience managing multi-billion-dollar infrastructure or capacity programs.
Pay
$293K – $385K (base salary)
Tools
GPU
AI focus
Enables infrastructure capacity for frontier AI training and inference workloads by converting it into usable compute and token throughput.
Model-written summary · the original posting is authoritative