Director, Engineering - Autonomous Vehicles

Responsibilities

• Set the technical vision and architecture for NVIDIA’s next-generation autonomous driving stack, spanning both classical and learning-based approaches.
• Build and lead a high-performing organization of engineers and technical leaders working across Prediction, Decision Making, Planning, Control, and Safety.
• Define how classical safety-critical autonomy and learned driving systems work together within a unified production architecture.
• Drive the architecture for robust system-level safety, redundancy, fallback, and degraded-mode strategies.
• Lead the development and productionization of end-to-end, data-driven autonomous driving pipelines, from perception and reasoning through trajectory building and vehicle operation.
• Advance large-scale vision-language-action (VLA) / driving foundation models and their integration into production autonomous vehicles.
• Partner closely with research teams to translate breakthroughs in robotics, embodied AI, foundation models, and generative AI into production self-driving technology.
• What We Need To See
• We’re looking for a technical and leader who has built systems, teams, and architectures—not just individual components.
• PhD with 12+ years, MS with 10+ years, or BS (or equivalent experience) with 15+ overall years of relevant industry experience in Computer Science, Computer Engineering, Robotics, Machine Learning, or a related technical field. 8+ years of experience leading a team.

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