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GPT Infrastructure Lead

OpenAI

GPT Infrastructure Lead is a still-open role at OpenAI on Jobrow. Location: Hybrid · San Francisco · California · United States. Listed pay: $293k–$385k. Sourced from the company's public Ashby board. First seen 2 months ago; last confirmed 9 days ago. Apply on the employer ATS — Jobrow is not the employer.

Pay
$293k–$385k
Workplace
Hybrid
Location
San Francisco · California · United States
First seen
2 months ago
Last seen
9 days ago
Board
Ashby
Apply

About this role

About the Team OpenAI’s Industrial Compute team is responsible for building and scaling large-scale compute capacity across first-party data centers, strategic partners, and industrial infrastructure environments.

  • Function: Infrastructure
  • Seniority: mid

Location & pay

Hybrid · San Francisco · California · United States Listed pay on Jobrow: $293k–$385k.

Source

Jobrow reads the public Ashby board for OpenAI. First seen 2 months ago; last seen 9 days ago. We are not the employer — apply only on the company ATS.

Posting

About the Team OpenAI’s Industrial Compute team is responsible for building and scaling large-scale compute capacity across first-party data centers, strategic partners, and industrial infrastructure environments. We focus on converting power, land, hardware, and operational execution into reliable compute capacity that can support frontier AI training and inference workloads. This team operates at the intersection of infrastructure delivery, hardware systems, utilities, supply chain, and capacity strategy—ensuring OpenAI can scale compute faster than traditional models allow. About the Role We are seeking a GPT Infrastructure Lead to drive the end-to-end conversion of industrial-scale infrastructure investments into usable token capacity for OpenAI workloads. In this role, you will own execution across complex compute programs where raw infrastructure capacity must be transformed into operational GPU throughput. You will 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. This role is ideal for someone who can bridge physical infrastructure delivery with compute utilization outcomes. Success requires strong systems thinking, elite program leadership, and the ability to drive accountability across internal teams and strategic partners. In this role, you will - 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 aggressive timelines. - Identify bottlenecks between physical delivery and usable compute output, then lead resolution. - Build operating cadences, dashboards, forecasts, and executive reporting for TaaS programs. - Develop repeatable deployment models for future industrial compute expansion. You might thrive in this role if you - Have led hyperscale infrastructure, data center, manufacturing, or industrial deployment programs. - Understand how power + hardware

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