Technical Program Manager, AI Factory Infrastructure
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Job Description
Technical Program Manager leading NVIDIA’s 100MW+ AI factory data center deployments. Coordinating infrastructure, hardware, software, contractors, utilities, and OEMs through commissioning and operational handoff.
Responsibilities:
- Collaborate with product owners and technical leads to identify and collect requirements for next-generation AI Factories
- Build, supervise, and complete long-term programs, including schedules, resourcing, and checkpoints
- Work with data center and hardware teams to develop solutions and mitigation strategies
- Lead planning with internal partners on capacity demands, engineering roadmaps, and data center expansions
- Own end-to-end delivery of 100MW+ AI factory data center deployments from construction readiness through commissioning, turn-up, and operational handoff
- Coordinate general contractors, colocation providers, utilities, and OEMs on electrical/mechanical scope, long-lead equipment, and site logistics
- Drive integrated readiness reviews and acceptance criteria across power, liquid cooling, networking, and platform/hardware teams
- Develop program plans for government grants and initiatives
- Translate program requirements into Basis Of Design documents
- Foster collaboration and hold team members accountable for action items and timelines
Requirements:
- Outstanding long-term planning and execution skills for data center lifecycle planning, large-scale AI factory buildouts, and expansions
- Experience managing end-to-end data center deployments for high-density AI infrastructure, including commissioning, readiness reviews, turn-up, and operational handoff
- Experience coordinating colocation providers, general contractors, utilities, and OEMs for complex electrical and mechanical scope at 100MW+ campus scale
- Strong technical and program leadership across power delivery, liquid cooling, networking, and compute/platform teams
- 12+ years of program and project management leadership for data center projects covering mechanical, electrical, and plumbing construction with large-scale server, storage, and network deployments
- BS or MS degree in Engineering (or equivalent experience)
- In-depth knowledge of infrastructure and data center facilities infrastructure technologies
- Familiarity with NVIDIA’s AI compute technology stack and translating platform requirements into data center infrastructure designs
- Experience with colocation data center environments
Benefits:
- Equity
- Benefits
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