Senior Technical Program Manager, NVIDIA Metropolis

Details

NVIDIA has been redefining computer graphics, PC gaming, and accelerated computing for 30 years. Today, NVIDIA is using AI to define the next era of computing, with GPUs powering computers, robots, and self-driving cars that can understand the world.

NVIDIA Metropolis offers GPU-accelerated libraries and SDKs, microservices, tools, and blueprints that help developers build, deploy, and scale AI-enabled applications from the edge to the cloud. This role will lead all steps of the development lifecycle, from concept and model training through optimized inference engineering and deployment.

Responsibilities

• Work closely with engineering and product management to deliver and drive strategic roadmap execution.
• Collaborate with engineering on sprint planning, stand-ups, sprint reviews, and retrospectives.
• Use Jira dashboards and bug database queries for reporting.
• Use Confluence to provide comprehensive program updates to core and leadership teams.
• Work with engineering on key performance indicators to improve overall execution processes and deliverables.
• Serve as an integral member of the Vision AI development and productization workflow.

Requirements

• Bachelor's degree in Electrical Engineering, 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.
• Proficiency in Agile project management methodologies.
• Experience with Jira sufficient to guide an engineering team in using the tools and implementing Agile/Scrum practices.
• Proven ability to remain organized and detail-oriented in an environment with shifting priorities and changing requirements.
• Ability to think long term and build consensus to make programs successful.
• Outstanding prioritization and alignment-building skills.

Preferred Qualifications

• Program management experience with 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 is a plus.
• Deep understanding of the software product life cycle for developing production-grade AI applications.
• Experience using AI in program management to optimize workflows and increase team velocity.
• Experience managing challenges unique to AI programs, including model accuracy KPIs and human-in-the-loop validation processes.

Compensation And Benefits

The base salary is determined by location, experience, and the pay of employees in similar positions. The base salary range is USD 168,000–258,750 for Level 4 and USD 200,000–322,000 for Level 5. The role is also eligible for equity and benefits.

Applications will be accepted at least until July 28, 2026. This posting is for an existing vacancy. NVIDIA uses AI tools in its recruiting processes and is committed to fostering an inclusive work environment and providing equal employment opportunities.