Tech Stack
Tag name is followed by "@" symbol and proficiency level value.
About proficiency levels:
- 1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;
- 3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;
- 7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;
- 10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.
AI @ 4
Communication @ 7
GPU @ 4
Leadership @ 7
Networking @ 4
- 1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;
- 3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;
- 7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;
- 10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.
Details
About the Team
OpenAI’s Industrial Compute team builds and scales large-scale compute capacity across first-party data centers, strategic partners, and industrial infrastructure environments. The team converts power, land, hardware, and operational execution into reliable compute capacity for frontier AI training and inference workloads. Its work spans infrastructure delivery, hardware systems, utilities, supply chain, and capacity strategy.
Responsibilities
- Lead Tokens-as-a-Service 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.
Requirements
- 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 work with engineers, operators, executives, and external partners.
- Strong systems thinking, program leadership, structure, escalation, and stakeholder management skills.
- Ability to translate technical execution into business outcomes.
- Experience with GPU clusters, AI infrastructure, hyperscale data centers, or industrial technology programs is preferred.
- Background in program management, operations leadership, capacity delivery, or strategic infrastructure execution is preferred.
- Familiarity with utilities, construction, commissioning, networking, hardware deployment, or cluster bring-up is preferred.
- Experience managing multi-billion-dollar infrastructure or capacity programs is preferred.
- Strong executive communication skills are preferred.
Benefits
- Salary range of $293,000–$385,000 per year, plus equity.
- Medical, dental, and vision insurance, with employer contributions to Health Savings Accounts.
- Pre-tax Flexible Spending Accounts and commuter benefits.
- 401(k) retirement plan with employer match.
- Paid parental, medical, and caregiver leave.
- Paid time off, paid holidays, office closures, and paid sick or safe time as required by law.
- Mental health and wellness support.
- Employer-paid basic life and disability coverage.
- Annual learning and development stipend.
- Daily office meals and eligible meal delivery credits.
- Relocation support for eligible employees.
- Additional benefits may include charitable donation matching and wellness stipends.
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