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.
