Senior Product Manager - Autonomous Vehicles

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Santa Clara, CA, USA
In-Office
Artificial Intelligence • Computer Vision • Hardware • Robotics • Metaverse
The Role

NVIDIA is seeking a Senior Technical Product Manager to lead the end-to-end delivery of new autonomous vehicle features, from definition to launch. This role will be a part of our L3/L4 product team. NVIDIA prides ourselves on our forward-thinking teams and technology. Today, we are developing groundbreaking products in robotics and intelligent autonomous machines. There has never been a more exciting time to join us!

What you will be doing:

  • Define a cohesive user-centric product vision and experience, along with product goals & metrics

  • Outline the strategy/roadmap to achieve these goals, and lead its execution to completion by driving alignment across teams

  • Identify & prioritize the most critical activities required for the product's success, and ensure that they are completed

  • Maintain a pulse on the overall health of the workstream, representing its progress to the broader team and proactively mitigating/communicating risks as early as possible

  • Develop a strong technical understanding of the stack, to proactively identify new opportunities for product application and creative ways to solve/mitigate technical challenges

What we need to see:

  • Bachelor of Science in Electrical Engineering or Computer Science (or equivalent experience)

  • 12+ years of experience in a similar or related role

  • Experience working in a software development environment

  • Track record of leading the launch of new products or features to users

  • Strong leadership and communication skills, with the ability to drive alignment across large organizations

Ways to stand out from the crowd:

  • Background with autonomous vehicles and/or machine learning

  • Experience with data analysis tools/languages such as SQL

  • Experience with start-ups and/or early-stage products

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 208,000 USD - 327,750 USD.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until April 11, 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.

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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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