> Markdown version of [/jobs/ext/3386918-technical-program-manager-ai-factory-infrastructure](https://www.wearedevelopers.com/jobs/ext/3386918-technical-program-manager-ai-factory-infrastructure). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Technical Program Manager, AI Factory Infrastructure - **Company:** NVIDIA Corporation - **Location:** Santa Clara, CA, United States - **Salary:** $200,000.0 - $322,000.0 - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Data Centers, Software Design Documents, Network Topologies, Network Installation Services, AI Infrastructure, Service Stack - **Published:** September 19, 2026 - **Apply:** https://nvidia.wd5.myworkdayjobs.com/NVIDIAExternalCareerSite/job/US-CA-Santa-Clara/Technical-Program-Manager--AI-Factory-Infrastructure_JR2024574 ## About the Role * Outstanding long-term planning and execution skills to carry our data center lifecycle planning, including 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. * Demonstrated ability to coordinate across colocation providers, general contractors, utilities, and OEMs to deliver complex electrical and mechanical scope (e.g., at 100MW+ campus scale). * Strong technical and program leadership across power delivery, liquid cooling, networking, and compute/platform teams to define acceptance criteria and ensure performance and reliability targets are met. * 12+ years of experience providing program and project management leadership for data center projects covering construction of mechanical, electrical, and plumbing with large-scale server, storage, and network deployments. * BS or MS degree in Engineering (or equivalent experience)., * In-depth knowledge of infrastructure (hardware and software) data center facilities infrastructure (electrical and mechanical) technologies. * Familiarity with NVIDIA's AI compute technology stack and ability to translate platform requirements into data center infrastructure designs (power delivery, liquid cooling, space, and network topology) at scale. * Experience with colocation data center environments ## Description NVIDIA's AI Factory Infrastructure team develops global reference designs, de-risks technologies needed for the next generation of compute and network products and builds AI infrastructure at scale to validate solutions at scale. As a TPM on the team, you'll be responsible for leading teams that are highly multi-functional, including hardware, software and facility infrastructure teams, to deliver solutions and infrastructure. This role offers a truly unique blend of developing future solutions and products with building infrastructure at scale. What You Will Be Doing: * 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 find creative solutions to hard problems, and co-develop solutions and mitigation strategies. * Lead planning with key internal partners on capacity demands with 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 handoff to operations. * Coordinate general contractors, colocation providers, utilities, and OEMs to align electrical/mechanical scope, long-lead equipment, and site logistics for large-scale AI cluster deployments. * Drive integrated readiness reviews and acceptance criteria across power, liquid cooling, networking, and platform/hardware teams to ensure performance and reliability targets are met for AI factory applications. * Develop program plans for government grants and initiatives. * Translate program requirements into Basis Of Design documents * Bring together team members and foster a collaborative approach to delivery while holding team members accountable to action items and timelines. ## Related Videos - [Building the Nervous System of AI - Michael Kagan (NVIDIA)](https://www.wearedevelopers.com/videos/2133-building-the-nervous-system-of-ai-michael-kagan-nvidia) - [AI Factories at Scale](https://www.wearedevelopers.com/videos/1139-ai-factories-at-scale) - [The Sustainability Race: AI's Promises, Pitfalls and Potential](https://www.wearedevelopers.com/videos/100155-the-sustainability-race-ai-s-promises-pitfalls-and-potential) - [Introducing a Digital Service Catalog for speed and scale](https://www.wearedevelopers.com/videos/763-introducing-a-digital-service-catalog-for-speed-and-scale) - [How to build a sovereign European AI compute infrastructure](https://www.wearedevelopers.com/videos/1102-how-to-build-a-sovereign-european-ai-compute-infrastructure) - [Building, securing and governing AI infrastructure in the Era of Agentic AI](https://www.wearedevelopers.com/videos/100129-building-securing-and-governing-ai-infrastructure-in-the-era-of-agentic-ai) ## Related Articles - [Best US AI Conferences for CTOs in 2026: Build vs. Buy, Vendor Evaluation, and Peer Intelligence](https://www.wearedevelopers.com/magazine/736-best-us-ai-conferences-for-ctos-in-2026-build-vs-buy-vendor-evaluation-and-peer-intelligence) - [Stephan Gillich - Bringing AI Everywhere](https://www.wearedevelopers.com/magazine/489-stephan-gillich-bringing-ai-everywhere) - [What Industries Outside of AI Are Hiring The Most AI Experts?](https://www.wearedevelopers.com/magazine/98-what-industries-outside-of-ai-are-hiring-the-most-ai-experts) - [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development) - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [MLOps – What’s the deal behind it?](https://www.wearedevelopers.com/magazine/125-mlops-what-s-the-deal-behind-it)