Senior Technical Product Manager – In-Vehicle Generative AI 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.