Senior Technical Program Manager, Safety and Product Life Cycle - Autonomous Vehicles

Sorry, this job was removed at 10:07 p.m. (UTC) on Tuesday, Apr 28, 2026
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Hiring Remotely in Santa Clara, CA, USA
In-Office or Remote
Artificial Intelligence • Computer Vision • Hardware • Robotics • Metaverse
The Role

The Autonomous Vehicles (AV) team is searching for a highly motivated, highly technical Program Manager to define and build the future of NVIDIA's self-driving software. Our mission is to build and scale self-driving technology at light speed – from L2 driving to L4 robotaxis. We work with multiple OEM partners globally, and our software will be used by millions of customers worldwide. If this sounds like an exciting challenge, read on!

In this role, you will be responsible for the product life cycle and safety aspect of NVIDIA's stack. You will need to deeply understand how NVIDIA delivers and implements ISO 26262. Your role includes tracking the execution across the entire program to ensure delivery timelines can be met and continuously improving execution processes. You will work closely with developers and safety engineers to deliver the best technology solutions for these problems. Ultimately you will ensure our products can actually be released, making the future of self driving vehicles a reality.
 

What you'll be doing:

  • Collaborate closely with experts in safety engineering to gain a comprehensive grasp of the full set of expectations for the next release holistically and for each team.

  • Interact directly with and support engineers and engineering leads to meet the safety goals on time.

  • Coordinate and collaborate with teams and internal customers to deliver those roadmaps: communicate and resolve bottlenecks, address issues, and measure outcomes.

  • Develop a deep technical understanding of your area of ownership, and to proactively identify areas of improvement and investment, influencing technical direction.

  • Escalating technical, resource and compliance risks across the product teams with mitigation plans.

  • Engaging with internal teams to root cause workflow/tooling bottlenecks to direct problems to the appropriate engineering teams for resolution.

  • Work collaboratively with other technical product managers and technical leads to understand the sophisticated self-driving problems we are solving, and to break down these problems into a solution with prioritized technical requirements.

What we need to see:

  • Driven, hands on, leader with strong skills in communication, influencing, and multi-functional team building across time zones.

  • Creative problem solver who can handle ambiguous situations, reach consensus, and make decisions.

  • Execution focus, with experience bringing new and innovative products and technologies into reality.

  • 12+ years of recent Product or Program Management experience.

  • BS/MS Computer Science, Engineering, or related field (or equivalent experience).

Ways to stand out from the crowd:

  • Relevant domain knowledge/experience (ISO 26262, Product Life Cycle).

  • Experience in a fast-paced AI company or Autonomous Vehicle company.

  • Showing you always strive to learn new things, are motivated to tackle hard problems, and that you care about the end product.

  • Ability to support software engineers on a technical level.

NVIDIA is the leading artificial intelligence computing company, and we are paving the way with innovations in simulation, visualization, supercomputing and self-driving cars. NVIDIA gives automakers, Tier 1 suppliers, automotive research institutions, and start-ups the power and flexibility to develop and deploy breakthrough artificial intelligence systems for self-driving vehicles. Today, we are working with over 270 partners that are using our platform in the development of autonomous cars, trucks, shuttles and taxis. If you're passionate about autonomous vehicles, we want to hear from you!

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 USD - 322,000 USD.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until April 25, 2026.

This posting is for an existing vacancy. 

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

NVIDIA Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about NVIDIA and has not been reviewed or approved by NVIDIA.

  • Equity Value & Accessibility Equity awards and a discounted ESPP are highlighted as core parts of total compensation, enabling employees to share in the company’s success. Stock-based compensation and the two-year lookback ESPP are consistently described as especially valuable.
  • Healthcare Strength Health coverage is portrayed as robust, with comprehensive medical, dental, and vision options alongside mental health support and on-site care resources. Employer HSA contributions and wellness perks reinforce the depth of the offering.
  • Retirement Support Retirement programs are depicted as strong, featuring a meaningful 401(k) match with Roth options and support for Mega Backdoor Roth contributions. These elements position long-term savings as a notable advantage of the total rewards package.

NVIDIA Insights

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The Company
HQ: Santa Clara, CA
21,960 Employees
Year Founded: 1993

What We Do

NVIDIA’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing — with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. Today, NVIDIA is increasingly known as “the AI computing company.”

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