NVIDIA

Director of Engineering, End to End Autonomous Driving

Job Description

Posted on: 
2026-03-19

Responsibilities

  • Define the technical roadmap for generative, imitation, and reinforcement learning models for vehicle planning.
  • Recruit, mentor, and manage a team of ML engineers focused on LLM/VLM/VLA systems.
  • Oversee data generation and collection 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 meet performance and safety standards.
  • Translate complex research into tactical engineering plans and product roadmaps.

Job Requirements

  • Hands-on experience in delivering ML planning models in real-world environments.
  • 5+ years of experience managing ML teams in autonomous systems or robotics.
  • Deep understanding of modern deep learning architectures and optimization techniques.
  • Proven track record of shipping production-grade ML models for safety-critical applications.
  • Master’s degree or PhD in CS, EE, or a related field (or equivalent experience).
  • 12+ years of professional experience in the AV or AI industry.
  • Experience with LLM/VLM/VLA systems for embodied AI or real-time robotics.
Apply now

More job openings