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.
NVIDIA is redefining the evolution of intelligent vehicles by bringing groundbreaking AI directly into the cockpit. We are looking for a highly technical Product Manager to own the strategy, roadmap, and execution of next-generation in-vehicle Generative AI applications that transform the driver and occupant experience. In this role, you will work where AI, automotive systems, and user experience meet. You will own products using NVIDIA’s full-stack capabilities across accelerated computing, edge AI, and software platforms. You will build on existing in-vehicle sensing technologies such as driver monitoring systems (DMS) and occupant monitoring systems (OMS), extending them into intelligent, conversational, and context-aware AI experiences. If you're passionate about crafting human engagement with AI in real-world environments and want to build systems like or beyond Tesla’s Grok, this is your chance. You’ll be joining a team that is crafting the future of AI-defined vehicles, where software and intelligence are as critical as hardware. At NVIDIA, we are pushing the boundaries of what’s possible—from autonomous driving to fully intelligent, personalized in-cabin experiences.
What You’ll Be Doing:
Define and drive the product vision, strategy, and roadmap for AI-powered generative experiences within vehicles.
Lead end-to-end product execution, coordinating every stage from initial idea through deployment, for AI-powered features that improve driver and passenger interaction.
Find opportunities to integrate LLMs, multimodal AI, and edge inference into the vehicle cabin experience.
Build products that leverage signals from DMS/OMS, voice, vision, and contextual vehicle data to create intelligent, proactive user interactions.
Partner closely with engineering, research, design, and automotive OEM customers to deliver scalable, production-ready solutions.
Translate sophisticated AI capabilities into clear product requirements and user value propositions.
Drive ecosystem alignment across internal NVIDIA platforms (e.g., DRIVE, Omniverse, AI Enterprise) and external partners.
Analyze market trends, competitive landscape, and emerging technologies to advise product direction.
Define success metrics and continuously optimize product performance based on real-world usage.
What We Need to See:
Bachelor’s or Master’s degree in Computer Science, Electrical Engineering, or related technical field (or equivalent experience).
8+ years of product management experience with a strong focus on AI/ML, software platforms, or automotive systems.
Deep understanding of Generative AI technologies, including LLMs, multimodal models, and real-time inference constraints.
Experience working with embedded systems, edge computing, or automotive platforms.
Proven track record to lead highly technical products from concept to production.
Strong systems thinking—ability to connect sensing, AI models, and human interaction into cohesive products.
Excellent communication skills, with the ability to work across technical and non-technical stakeholders.
Ways to Stand Out from the Crowd:
Experience building AI-driven user experiences in constrained or real-time environments.
Familiarity with driver monitoring, computer vision, or sensor fusion systems. Hands-on experience engaging with LLMs, conversational AI, or agent-based systems.
Background in automotive OEM partnerships or Tier 1 ecosystems.
Understanding of privacy, safety, and regulatory considerations in automotive AI.
Passion for redefining how humans interact with intelligent systems in everyday environments.
At NVIDIA, we’re dedicated to making self-driving vehicles a reality and believe this technology can save millions of lives. Join a team of innovative thinkers at one of the world’s most respected technology companies. If you’re motivated, curious, and ready to make a difference, we’d love to meet you! We believe that building self-driving vehicles will be a defining contribution of our generation (e.g. traffic accidents are responsible for ~1.25 million deaths per year world-wide). We have the funding and scale, but we need your help on our team. NVIDIA is widely considered to be one of the technology world’s most desirable employers with some of the most forward-thinking people in the world working here. If you're entrepreneurial and autonomous, 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 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.
This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.
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.Skills Required
- Bachelor's or Master's degree in Computer Science, Electrical Engineering, or related technical field
- 8+ years of product management experience with a strong focus on AI/ML, software platforms, or automotive systems
- Deep understanding of Generative AI technologies, including LLMs and real-time inference constraints
- Experience working with embedded systems, edge computing, or automotive platforms
- Proven track record to lead highly technical products from concept to production
- Strong systems thinking ability connecting sensing, AI models, and human interaction into products
- Excellent communication skills to work across technical and non-technical stakeholders
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.”







