NVIDIA

Director of Engineering, End to End Autonomous Driving

Job Description

Posted on: 
2026-04-29

Responsibilities

  • Define the technical roadmap for generative, imitation, and reinforcement learning models in vehicle planning.
  • Recruit, mentor, and lead a team of ML engineers focused on LLM/VLM/VLA systems.
  • Oversee execution of data generation strategies for high-quality training datasets.
  • Collaborate with hardware, firmware, and safety teams for AI model deployment.
  • Provide technical mentorship on integrating ML models into the autonomous driving stack.
  • Ensure production-grade ML models are delivered for safety-critical applications.
  • Translate complex research into engineering plans and long-term product roadmaps.

Job Requirements

  • 5+ years of experience managing ML teams in autonomous systems or robotics.
  • Hands-on experience with ML planning models in real-world environments.
  • Deep understanding of modern deep learning architectures (LLMs, VLMs, VLAs).
  • Track record of delivering production-grade ML models at scale.
  • Master’s degree or PhD in CS, EE, or related field (or equivalent experience).
  • 12+ years of professional experience in the AV or AI industry.
  • Experience with scaling LLM/VLM/VLA systems for real-time robotics preferred.
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