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# Senior Technical Program Manager, NVIDIA Metropolis

- **Company:** NVIDIA Ltd.
- **Location:** Santa Clara, CA, United States
- **Experience:** Expert
- **Salary:** $168,000 - $258,750
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Confluence, JIRA, Cloud Computing, Computer Graphics, Database Queries, Scrum Methodology, Software Engineering, Graphics Processing Unit (GPU), Model Validation, Information Technology, Microservices
- **Published:** November 6, 2026
- **Apply:** https://www.careerbuilder.com/job-details/senior-technical-program-manager-nvidia-metropolis-santa-clara-ca--2a23c32a-8ad2-469b-8d72-160d659a80d9

## About the Role

Project/Program Management, Technical Leadership, Autonomous Driving Systems, GPU (Graphics Processing Unit), Artificial Intelligence (AI), Project/Program Management, Product Lifecycle, Microservices, Software Development, Cloud Computing, * Bachelors in Electrical Engineering or Computer Science or equivalent experience

 * 8+ years of end-to-end Program Management experience in a similar or related role
 * Excellent verbal, written, interpersonal and presentation skills
 * Proficient in Agile project management methodologies
 * Experience with Jira to the point that you can comfortably guide an engineering team on how to use these tools and implement in an agile/scrum manner
 * Proven track record of being well organized, detail oriented, have excellent listening skills, in an environment with shifting priorities and changing requirements
 * Ability to think long-term and build consensus to make programs successful
 * Outstanding skills in prioritizing and building alignment

Ways to stand out from the crowd:

 * Prior Program Management experience with Vision AI or AI application development including Data Acquisition and Labeling to Model Training, Optimization, and Edge Deployment
 * Strong understanding of Embedded Systems (familiarity with Nvidia GPUs is a plus)
 * Deep understanding of Software Product Life Cycle to develop production grade AI applications
 * AI adoption in Program Management to optimize workflows and increase team velocity
 * Experience managing the unique challenges of AI programs, such as, Model accuracy KPIs, and "human-in-the-loop" validation processes

## Description

NVIDIA has been redefining computer graphics, PC gaming, and accelerated computing for 30 years. It's an outstanding legacy of innovation that's motivated by phenomenal technology-and amazing people. Today, we're tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what's never been done before takes vision, innovation, and the world's best talent. As an NVIDIAN, you'll be immersed in a diverse, encouraging environment where everyone is inspired to do their best work. Come join our team and see how you can make a lasting impact on the world!

NVIDIA Metropolis offers GPU-accelerated libs/SDKs, Microservices, Tools and Blueprints that help developers build, deploy and scale AI-enabled applications - from the edge to the cloud. This suite of software offerings provides a variety of starting points to accelerate and optimize any aspect of AI application development and deployment. We are looking for a passionate Technical Program Manager to be part of this journey. This role will be leading all steps of the development lifecycle: from concept to model training, engineering for optimized inference and deployment.

What you will be doing:

 * Closely work with engineering and product management to deliver and drive strategic roadmap execution
 * Collaborate with engineering on sprint planning, stand ups, sprint review and retrospective
 * Use Jira dashboard and bug database queries to help with various reporting, and Confluence to provide comprehensive program updates to the core and leadership teams
 * Work closely with the engineering on various KPIs to improve overall execution process and deliverable
 * Integral member of Vision AI development and productization workflow