Production Manager, Maps – Autonomous Vehicles

Posted Yesterday
Be an Early Applicant
Santa Clara, CA, USA
In-Office
168K-328K Annually
Senior level
Artificial Intelligence • Computer Vision • Hardware • Robotics • Metaverse
The Role
Own core NVMap components for L3/L4 autonomous driving. Define and align map requirements with partners, produce long-term product specifications, coordinate cross-functional roadmaps, track delivery risks, and ensure on-time business delivery while working closely with engineering and stakeholders.
Summary Generated by Built In

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s a unique legacy of innovation that’s fueled by great technology—and amazing people.

Today, we’re tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what’s never been done before takes vision, innovation, and the world’s best talent. As an NVIDIAN, you’ll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world.

The Autonomous Vehicles (AV) team is searching for a highly motivated, highly technical Product 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 take ownership of the core NVMap components for NVIDIA’s L3/L4 autonomous driving solutions. You are required to gain in-depth understanding of all map-related requirements for L3 and L4 systems.
Externally, you will conduct requirement alignment on L3/L4 maps with upstream and downstream partners, and provide clear, long-term product input specifications.
Internally, you will align delivery targets with internal teams, track delivery risks proactively, and guarantee on-time business delivery.
 

What you'll be doing:
  • 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.

  • Interact directly with engineering leaders to convert those requirements into industry-competitive roadmaps enabling our entire system to achieve end to end goals.

  • 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 the entire stack, but especially in your area of ownership, to proactively identify areas of improvement and investment, influencing technical direction

What we need to see:
  • Strong technical skills, including experience in L3/L4 Map in autonomous vehicles for driving, or ADAS systems.

  • 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

  • 8+ years of recent Product or Program Management experience

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

Ways to stand out from the crowd:
  • Relevant domain knowledge/experience (L3/L4 Map, Map fusion, RoboTaxi)

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

  • Proven technical background in a related field, such as experience as a software engineer, systems engineer, ML engineer, or similar

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

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!

Widely considered to be one of the technology world’s most desirable employers, NVIDIA offers highly competitive salaries and a comprehensive benefits package. As you plan your future, see what we can offer to you and your family www.nvidiabenefits.com/

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 208,000 USD - 327,750 USD for Level 5.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until July 12, 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

  • Experience in L3/L4 Map for autonomous vehicles or ADAS systems
  • 8+ years of recent Product or Program Management experience
  • BS/MS in Computer Science, Engineering, or related field (or equivalent experience)
  • Strong technical skills and deep understanding of map-related requirements for L3/L4 systems
  • Proven communication, influencing, and cross-functional leadership skills across time zones
  • Experience executing and bringing new products/technologies to production
  • Creative problem solving and ability to make decisions in ambiguous situations
  • Relevant domain knowledge (Map fusion, RoboTaxi)
  • Experience at an AI or Autonomous Vehicle company
  • Technical background as software, systems, or ML engineer
  • Demonstrated continuous learning and motivation to solve hard problems

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

Am I A Good Fit?
beta
Get Personalized Job Insights.
Our AI-powered fit analysis compares your resume with a job listing so you know if your skills & experience align.

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.”

Similar Jobs

Wipfli Logo Wipfli

Tax Manager

Cloud • Fintech • Software • Business Intelligence • Consulting • Financial Services
Remote or Hybrid
United States
3000 Employees
106K-160K Annually

Wipfli Logo Wipfli

Tax Senior Manager - Real Estate

Cloud • Fintech • Software • Business Intelligence • Consulting • Financial Services
Remote or Hybrid
United States
3000 Employees
142K-192K Annually

Wipfli Logo Wipfli

Director - Transaction Advisory Services

Cloud • Fintech • Software • Business Intelligence • Consulting • Financial Services
Remote or Hybrid
United States
3000 Employees
142K-191K Annually

Wipfli Logo Wipfli

Product Owner

Cloud • Fintech • Software • Business Intelligence • Consulting • Financial Services
Remote or Hybrid
United States
3000 Employees
107K-144K Annually

Similar Companies Hiring

Legora Thumbnail
Artificial Intelligence • Legal Tech • Software
Chicago, Illinois
700 Employees
Hanover Park Thumbnail
Artificial Intelligence • Fintech • Software • Financial Services
New York, New York
42 Employees
Onshore Thumbnail
Artificial Intelligence • Fintech • Software • Financial Services
New York, New York
60 Employees

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account