Senior Technical Program Manager - Autonomous Vehicles

Reposted 18 Days Ago
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Santa Clara, CA, USA
In-Office
168K-322K Annually
Senior level
Artificial Intelligence • Computer Vision • Hardware • Robotics • Metaverse
The Role
This role involves managing software engineering projects for NVIDIA's autonomous vehicle solutions, coordinating teams, and ensuring quality metrics while improving processes.
Summary Generated by Built In

The Automotive Vehicles team is searching for a creative and expert Senior Technical Program Manager to help us bring NVIDIA's autonomous vehicle solution out to the world! We will participate in a focused effort to develop and productize ground-breaking product solutions that will redefine the world of transportation and the growing field of self-driving cars! You will work with hardworking and dedicated multi-functional engineering development teams across various vehicle subsystems to integrate their work into our AV SW platform, while achieving or exceeding all important NVIDIA and automotive standards & guidelines. You'll find the work is exciting, fun, and relevant. We have deadlines, partners, and competition.

What you will be doing:

  • Work with the engineering team to come up with and handle project roadmaps, schedules, achievements and work you're doing as part of the development team.

  • Coordinate release content and efforts with multiple program/engineering managers who own individual components.

  • Balance risks and address problem that affects release scope, schedule and quality

  • Work closely with the leadership team to help define measures of release quality using industry standards

  • Establish metrics to assist with assessing the health of the release

  • Guide the team on driving in accurate agile/scrum manner

  • Assist in improving processes and procedures within the team.

  • Help streamline day-to-day operations.

  • Generate KPIs and metrics to measure progress and track trends. Be able to analyze the trends and drive improvements through them.

  • Regularly communicate the program status and key issues to management and across teams within the organization

What we need to see:

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

  • 8+ years recent Program/Project Management experience driving the planning and execution of software engineering projects, and releasing commercial products

  • Experience handling at least few successful releases with the short release cadence in a multifaceted environment

  • A consistent track record of leading and optimally delivering medium to large programs and projects, process improvements

  • Shown ability to evaluate and drive adoption of new and improved process workflows in medium to large organizations

  • Experience with new product introduction and program managing research teams is a plus

  • Previous experience & lived a life as a software developer or software QA engineer. Understand the pressures they are under, allowing you to more successfully lead them in projects as well as process.

  • Experience with Jira and/or JAMA, to the point that you can comfortable guide an engineering team how to use these tools and execute in an Agile/scrum manner

  • PMP, Scrum Master certification is a plus

Ways to stand out from the crowd:

  • Experience with autonomous vehicles, autonomy software integration and machine learning

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

  • Background with automotive SW development and QNX

  • Experience working with operations and fleet management

  • Background with Issue triaging and diagnosis.

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 168,000 USD - 258,750 USD for Level 4, and 200,000 USD - 322,000 USD for Level 5.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until May 2, 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.

Skills Required

  • BS/MS in Computer Science or related field
  • 8+ years of Program/Project Management experience
  • Experience in managing software engineering project releases
  • Experience with Jira and/or JAMA
  • PMP, Scrum Master certification

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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