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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, enabling features ranging from driver assistance all the way to true hands-off, mind-off autonomous driving. In this role, you will be responsible for core components of Nvidia's autonomous vehicle software (e.g., AI based planners, perception networks, fusion, and more). You will need to deeply understand the technical aspects of the component and how they relate to overall driving experience, identifying the "right problems" for teams to work on. From there, you will work with leading experts to design, prioritize and deliver solutions for these problems. Ultimately you will lead teams in defining and delivering against technology product roadmaps and making the future of self driving vehicles a reality.

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 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 to proactively identify areas of improvement and investment, influencing technical direction

What we need to see:

+ Strong technical skills, including experience in autonomous vehicles, robotics, or related projects which involve heavily matrixed sophisticated 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

+ Ability to think creatively, propose solutions, and resolve development issues and constraints

+ Execution focus, with experience bringing new and innovative products and technologies into reality

+ 12+ 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 (Autonomous Driving, Robotics, ML based planning stacks, perception models, fusion or mapping technology)

+ 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!

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 (https://www.nvidia.com/en-us/benefits/) .

Applications for this job will be accepted at least until August 26, 2025.

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.