GPT Infrastructure Lead
OpenAI is hiring a GPT Infrastructure Lead for a remote role open to applicants in United States. It pays $293k-$385k a year and Level rates it ; you can apply on OpenAI.
Level's read on this job
- On Level's scale, this role is Builds AI ●●●●: the job is building AI systems.
- This is listed as a remote role.
- The posting mentions AI research, infrastructure management and program management among its tools and skills.
- Level classes it as a lead role.
- OpenAI has 793 other open roles on Level.
AI in this role
GPT Infrastructure Lead responsible for converting industrial-scale infrastructure and hardware into operational GPU throughput for OpenAI workloads.
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
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.
About OpenAI
OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity.
We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic.
For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement.
Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations.
To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form. No response will be provided to inquiries unrelated to job posting compliance.
We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link.
OpenAI Global Applicant Privacy Policy
At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.
How we rate this
GPT Infrastructure Lead at OpenAI rates 85 out of 100 for how much of the daily work is AI. That makes it Builds AI (AI Level 4 of 4). The level is about AI in the job, not seniority.
Builds AI. The job is building AI systems.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.
Prepare for this job
Built from this posting and from similar jobs on Level.
Skills and AI tools this role asks for
Questions you could be asked
- Tell me about a research question you investigated. What did you find?
- Tell me about a project where infrastructure management was part of your work. What did you do?
- Tell me about a project where program management was part of your work. What did you do?
- Tell me about a project where data center operations was part of your work. What did you do?
- Tell me about a project where supply chain was part of your work. What did you do?
Adapt your resume
- List these exact terms on your resume: AI Research, Infrastructure Management, Program Management, Data Center Operations, and Supply Chain. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
- Lead with what you built, trained or shipped. This role is judged on the AI system itself, not the tools around it.
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