Senior Technical Program Manager, AV System Integration

Posted 2 Days Ago
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Santa Clara, CA, USA
In-Office
168K-259K Annually
Senior level
Artificial Intelligence • Computer Vision • Hardware • Robotics • Metaverse
The Role
Lead cross-functional teams to integrate new platform technologies into NVIDIA's autonomous vehicle DRIVE software, onboard customer vehicles, manage risks, define project roadmaps, improve processes, and deliver scalable production-ready programs and fleets.
Summary Generated by Built In

We are looking for a creative and experienced Technical Program Manager to help us bring NVIDIA's autonomous vehicle platform out to the world. As a key member, you will be an authority responsible for the managing and delivering new platforms and technologies into the fleet. You will work with hardworking and dedicated multi-functional engineering development teams across various vehicle subsystems to integrate their work into our autonomous DRIVE SW platform, while achieving or exceeding all relevant NVIDIA and automotive standards & guidelines. You'll find the work is exciting, fun, and meaningful. We have customers, and competition. 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.

What you'll be doing:

  • Incorporate new platform technologies: Drive technologies from bringup to production working cross-functionally across teams.

  • Onboard new customer vehicles: Coordinate onboarding of new vehicles from conception, to bringup, to fleet adoption.

  • Handle risks and resolve issues that affect fleet technologies scope, schedule, and quality.

  • Assist in improving process and procedures within the team. Help streamline day-to-day operations.

  • Define scope and work independently with cross-functional engineering teams to come up with and handle project roadmaps, schedules, milestones and work you're doing as part of the development team.

What we need to see:

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

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

  • Experienced in projects usually involve new product areas.

  • You have a proven record of leading and successfully delivering scalable programs and projects, process improvements.

  • Shown ability to evaluate and drive adoption of new and improved process workflows in scalable organizations.

Ways to stand out from the crowd:

  • Familiarity with embedded systems.

  • Experience in Automotive system integration.

  • Experience in effectively leading global projects across time zones.

  • Background with Jira and/or JAMA, to the point that you can comfortable mentoring an engineering team how to use these tools and complete with agility

  • Expertise in Agile and Scrum methodology.

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.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until August 11, 2026.

This posting is for an existing vacancy. 

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering an inclusive 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 (or equivalent experience)
  • 8+ years industry and Program/Project Management experience driving software engineering projects and releasing commercial products
  • Experience managing projects involving new product areas
  • Proven record of leading and successfully delivering scalable programs, projects, and process improvements
  • Ability to evaluate and drive adoption of new and improved process workflows in scalable organizations
  • Familiarity with embedded systems
  • Experience in Automotive system integration
  • Experience leading global projects across time zones
  • Background with Jira and/or JAMA and ability to mentor teams on these tools
  • Expertise in Agile and Scrum methodology

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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