NVIDIA Logo

NVIDIA

Senior Manager, Technical Product and Program Management, Core Software - Autonomous Vehicles

Reposted Yesterday
Be an Early Applicant
In-Office or Remote
3 Locations
240K-380K
Senior level
In-Office or Remote
3 Locations
240K-380K
Senior level
Lead a team in defining and building NVIDIA's self-driving software. Manage technical product and program execution for autonomous vehicle projects.
The summary above was generated by AI

The Autonomous Vehicles (AV) team is searching for a highly motivated, highly technical Product and Program Management manager to lead and grow a rockstar team defining and building NVIDIA's self-driving software, enabling features ranging from driver assistance all the way to true hands-off, mind-off autonomous driving.

This role is responsible for core components of Nvidia's autonomous vehicle software (e.g., a portfolio of perception technology, planning technology, fusion, or mapping). This is a mixed role covering management of both technical product and program management : it requires deep understanding of the technical aspects of the components and how they relate to overall driving experience and identify the "right problems" for teams to work on. You will work with leading experts to design, prioritize and deliver solutions for these problems.

From there you will build the right processes and drive execution, supporting teams to deliver against our goals. You will be the representative for the progress of these workstreams with senior executives. Ultimately you will need to develop a high performing team which can define and deliver against the highly ambitious technology product roadmaps we are delivering on to make the future of self driving vehicles a reality.

What you'll be doing:

  • Hands on leadership of a team coordinating projects, partnering with tech leads to understand and solve complex self-driving challenges.

  • Drive and be responsible for delivery of your technology portfolios, in partnership with your engineering leader counterparts.

  • Coordinate and collaborate with teams and internal customers to deliver those roadmaps against extremely ambitious timelines and goals: build processes and frameworks to amplify team performance, 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 across teams

  • Clearly communicate and represent technical product status and program execution to senior executives and OEM partners.

What we need to see:

  • Driven, hands on, leader and people manager with strong skills in communication, influencing, and multi-functional team building across time zones

  • Experience managing and growing technical product or program management teams across autonomous vehicle or robotics domains.

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

  • 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+ overall years of recent Product or Program Management experience and 5+ years of people management experience

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

Ways to stand out from the crowd:

  • Proven track record of growing both technical product AND technical program management teams in the autonomous vehicles or robotics space.

  • 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 240,000 USD - 379,500 USD.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until October 27, 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.

Top Skills

Artificial Intelligence
Autonomous Vehicles
Computer Science
Engineering
Machine Learning
Robotics

Similar Jobs

27 Minutes Ago
Remote
United States
175K-220K Annually
Senior level
175K-220K Annually
Senior level
Cloud • Fintech • Food • Information Technology • Software • Hospitality
The Counsel will provide legal advice to various teams, focusing on payroll and team management solutions, ensuring compliance with laws and regulations.
Top Skills: Aba-Accredited U.S. Law SchoolAdvertising And Marketing LawIntellectual PropertyMarketingPrivacyRegulatory Compliance
27 Minutes Ago
Remote or Hybrid
United States
Senior level
Senior level
Automotive • Big Data • Information Technology • Robotics • Software • Transportation • Manufacturing
Develop and prototype strategies for testing autonomous vehicle performance. Convert validation strategies into code and facilitate cross-team collaboration on coding best practices.
Top Skills: C++PythonSQL
27 Minutes Ago
Remote or Hybrid
4 Locations
109K-160K Annually
Senior level
109K-160K Annually
Senior level
Automotive • Big Data • Information Technology • Robotics • Software • Transportation • Manufacturing
The Senior Talent Acquisition Partner will lead full-cycle recruitment for non-tech roles, collaborate with HR and business leaders, and enhance hiring strategies based on market insights.
Top Skills: EnteloLinkedin RecruiterSeekoutWorkday

What you need to know about the Los Angeles Tech Scene

Los Angeles is a global leader in entertainment, so it’s no surprise that many of the biggest players in streaming, digital media and game development call the city home. But the city boasts plenty of non-entertainment innovation as well, with tech companies spanning verticals like AI, fintech, e-commerce and biotech. With major universities like Caltech, UCLA, USC and the nearby UC Irvine, the city has a steady supply of top-flight tech and engineering talent — not counting the graduates flocking to Los Angeles from across the world to enjoy its beaches, culture and year-round temperate climate.

Key Facts About Los Angeles Tech

  • Number of Tech Workers: 375,800; 5.5% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Snap, Netflix, SpaceX, Disney, Google
  • Key Industries: Artificial intelligence, adtech, media, software, game development
  • Funding Landscape: $11.6 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Strong Ventures, Fifth Wall, Upfront Ventures, Mucker Capital, Kittyhawk Ventures
  • Research Centers and Universities: California Institute of Technology, UCLA, University of Southern California, UC Irvine, Pepperdine, California Institute for Immunology and Immunotherapy, Center for Quantum Science and Engineering

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account