Director Of Engineering, End To End Autonomous Driving

NVIDIA

Base: 320,000 usd - 488,750 usd; equity: eligible;...
Generative, imitation, and reinforcement learning models
Llm/vlm/vla systems for robotics
Data generation and collection strategies
Lead the design and deployment of cutting-edge end-to-end autonomous systems running on NVIDIA chips in mass-production vehicles

Job Summary

  • Lead the design and deployment of cutting-edge end-to-end autonomous systems running on NVIDIA chips in mass-production vehicles.
  • Recruit, mentor, and lead an extraordinary team of ML engineers passionate about building and fine-tuning LLM/VLM/VLA systems for real-world robotics.
  • Provide deep technical mentorship on integrating ML models into the rest of the autonomous driving stack to build production-quality, safety-critical software.

Matching Summary

Lead the design and deployment of cutting-edge end-to-end autonomous systems running on NVIDIA chips in mass-production vehicles.

Salary

Base: 320,000 USD - 488,750 USD; Equity: eligible; Benefits: eligible

Skills & Requirements

Must-have

  • Generative, imitation, and reinforcement learning models
  • LLM/VLM/VLA systems for robotics
  • Data generation and collection strategies
  • Integrating ML models into autonomous driving stack
  • Production-grade ML models at scale
  • Deep learning architectures and optimization

Nice-to-have

  • Scaling LLM/VLM/VLA for embodied AI
  • Managing multi-site teams
  • Behavior and motion planning expertise
  • Building large-scale data flywheels
  • Optimizing algorithms for NVIDIA hardware

Key Requirements

  • 5+ years managing ML teams
  • 12+ years industry experience
  • Master’s degree or PhD in CS, EE, or related field
  • Hands-on experience delivering ML planning models at scale
  • Track record of shipping production-grade ML models

Work Rights

Not specified

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