Drimva

NVIDIA

Senior Technical Program Manager, NVIDIA Metropolis

$168K–$322K

US, CA, Santa Clara · Manager · Full-time · Posted Jul 24, 2026

Experience
8+ years of end-to-end Program Management experience in a similar or related role.
Education
Bachelor’s in Electrical Engineering or Computer Science, or equivalent experience.

About the job

Leads NVIDIA Metropolis Vision AI programs through the development lifecycle, coordinating engineering and product teams to execute roadmaps and deliver AI applications.

What you'll do

  • Drive strategic roadmap execution with engineering and product management, coordinating development from concept through training, inference optimization, and deployment.
  • Support Agile delivery activities, including sprint planning, stand-ups, reviews, and retrospectives; use Jira and Confluence for reporting and program updates.
  • Work with engineering on KPIs and improve execution processes and deliverables as part of the Vision AI development and productization workflow.

What they ask for

  • Bachelor’s in Electrical Engineering or Computer Science, or equivalent experience.
  • 8+ years of end-to-end Program Management experience in a similar or related role.
  • Proficiency in Agile project management methodologies and experience guiding engineering teams in Jira and Agile/Scrum practices.
  • Strong communication, organization, prioritization, and consensus-building skills in changing environments.

Nice to have

  • Program Management experience in Vision AI or AI application development, including data acquisition and labeling, model training, optimization, and edge deployment.
  • Strong understanding of Embedded Systems; familiarity with Nvidia GPUs, software product lifecycle, AI adoption in program management, or AI program challenges is also noted.

Pay

168,000 USD - 258,750 USD (base salary, Level 4); 200,000 USD - 322,000 USD (base salary, Level 5)

Tools

Jira, Confluence, Nvidia GPUs

AI focus

Leads Vision AI development and productization, spanning model training, optimized inference, deployment, and AI application development; preferred experience includes AI workflow adoption and model accuracy KPIs.

Model-written summary · the original posting is authoritative

First seen Oct 16, 2026 · Last verified Nov 4, 2026 (UTC)