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.
If you're passionate about autonomous vehicles, we would love to hear from you! The Autonomous Vehicles Program Management team is searching for a creative and experienced manager to own the end-to-end development of new autonomous driving features for NVIDIA's autonomous vehicle platform. We are the leading artificial intelligence computing company and are paving the way with innovations in gaming, visualization, supercomputing and self-driving cars. As a key member of our Autonomy Program Team, you will be a key leader responsible for the software development execution of our autonomous driving software stack. 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:
- Own the delivery roadmap and health of all autonomy software programs, keeping execution aligned with the various vehicle programs and customer timelines.
- Lead and grow a team of experienced TPMs, hiring outstanding talent and guiding each person's professional development.
- Stay hands-on by personally leading the most critical and technically demanding programs, and by digging into design reviews, integration planning, and issue investigations to find root causes, challenge assumptions, and drive decisions.
- Partner with program, product, and engineering leaders to turn top-down strategy and ambiguous goals into executable plans with defined scope, milestones, accountable owners, and measurable outcomes.
- Establish and run program governance, including planning, execution tracking, risk management, and reporting, so teams and leadership always know where each program stands.
- Drive cross-functional delivery of software features across engineering, test and validation, regulatory, and customer teams, resolving the most complex interdependencies and systemic risks.
- Build strong partnerships with leaders across software, testing, regulatory affairs, and vehicle programs.
- Serve as the primary escalation point and senior representative in cross-functional and executive forums, giving leadership concise updates that turn complex technical and regulatory risks into clear decision points and recommendations.
What we need to see:
- BS/MS Computer Science, Electrical Engineering or related field (or equivalent experience)
- 4+ years of experience leading a team
- 8+ years of overall relevant experience
- Proven experience in Automotive, Perception, Path Planning, robotics and/or AI.
- Strong leadership and interpersonal skills. Demonstrated ability to collaborate on global projects across teams and time zones.
Ways to stand out from the crowd:
- Proven experience leading end-to-end development of ADAS or self-driving features
- Experience as software engineer, software QA or systems engineer.
- Experience in a fast-paced Automotive OEM or supplier.
You will also be eligible for equity and benefits.
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 or MS in Computer Science, Electrical Engineering, or a related field, or equivalent experience
- 4 or more years of experience leading a team
- 8 or more years of overall relevant experience
- Experience in automotive, perception, path planning, robotics, and/or artificial intelligence
- Strong leadership and interpersonal skills
- Ability to collaborate on global projects across teams and time zones
- Experience leading end-to-end development of ADAS or self-driving features
- Experience as a software engineer, software QA professional, or systems engineer
- Experience in a fast-paced automotive OEM or supplier environment
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.
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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.
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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.
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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
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.”
