OpenAI
GPT Infrastructure Lead
Part remote, part office, you need to live within commuting distance of a named location.
Hybrid · San Francisco
Employer listed it 5 months ago · Added 4 days ago
Been open since 5 months ago. Long-running listings are sometimes left up after the role is filled.
Salary
$293,000–$385,000
Location
Hybrid · San Francisco
Timezone
Not stated
Contract
Full-time
Experience
Lead
Category
Software
Published by the employer
Remote flexibility
Hybrid
This role is only partly remote, the employer expects time in the office around San Francisco, Seattle, Hybrid, so you need to live within commuting distance.
What the employer says
- Source listing states candidate location: "San Francisco, Seattle, Hybrid"
- Listing mentions "Hybrid"
What Nomaders makes of it
- Not suitable if you plan to move between countries
The quotes above are the employer's own words; the reading is ours. Always check the original listing and employment terms before working from another country.
About the 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. 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 + networking + software combine into usable compute.
Can operate equally well with engineers, operators, executives, and external partners.
Are highly structured in ambiguous, fast-moving environments.
Know how to escalate intelligently and maintain momentum under pressure.
Can translate technical execution into business outcomes.
Preferred Skills
Requirements
- ·Experience with GPU clusters, AI infrastructure, hyperscale data centers, or industrial technology programs.
- ·Background in program management, operations leadership, capacity delivery, or strategic infrastructure execution.
- ·Familiarity with utilities, construction, commissioning, networking, hardware deployment, or cluster bring-up.
- ·Experience managing multi-billion-dollar infrastructure or capacity programs.
- ·Strong executive communication and stakeholder management skills.
Benefits
No benefits package published with this listing. Ask about it at first interview.
How to apply
- 1Check the flexibility label above, hybrid, matches where you plan to live and work.
- 2Tailor your CV to the role at OpenAI, mentioning your remote working experience.
- 3Apply directly on the employer's careers page using the button below. Nomaders never handles your application.
Found 5d ago. Last checked today. Always confirm the details on the original posting, salary and location can change after publication.
Listing sourced from Company boards.
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$293,000–$385,000 · You'll be taken to the employer's careers page.