# Technical Program Manager (TPM) - AI Factory Infrastructure

**Company**: NVIDIA
**Experience**: senior
**Job type**: full-time
**Salary**: $200,000 - $322,000 for Level 5, and $240,000 - $379,500 for Level 6
**Category**: Engineering
**Industry**: Technology

**Apply**: https://nvidia.wd5.myworkdayjobs.com/en-US/NVIDIAExternalCareerSite/job/US-CA-Santa-Clara/Technical-Program-Manager--AI-Factory-Infrastructure_JR2024574?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_217dcfb7-b3c

## 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.

As a Technical Program Manager (TPM) on the team, you will lead multi-functional teams, including hardware, software, and facility infrastructure teams, to deliver solutions and infrastructure.

**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 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.

**Requirements:**

- Outstanding long-term planning and execution skills to carry out 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.

- 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).

**Nice to Have:**

- 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.

- Experience with colocation data center environments.

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is $200,000 - $322,000 for Level 5, and $240,000 - $379,500 for Level 6. You will also be eligible for equity and benefits.

## Skills

### Required
- data center infrastructure
- AI factory deployments
- program management
- technical leadership
- collaboration

### Nice to have
- infrastructure technologies
- NVIDIA AI compute technology stack
- colocation data center environments

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Source: [Apply at nvidia.wd5.myworkdayjobs.com](https://nvidia.wd5.myworkdayjobs.com/en-US/NVIDIAExternalCareerSite/job/US-CA-Santa-Clara/Technical-Program-Manager--AI-Factory-Infrastructure_JR2024574?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)