Director Of Engineering, End To End Autonomous Driving

Nvidia Corporation

CA, United States
Base: 320,000 usd - 488,750 usd; bonus/equity: equ...
On-site
Generative, imitation, and reinforcement learning models
Llm/vlm/vla systems for robotics
Data generation and collection strategies
NVIDIA is seeking a Director of Engineering for its End to End Autonomous Driving team, responsible for leading the design and deployment of state-of-the-art autonomous systems utilizing NVIDIA chips. The ideal candidate will have extensive experience in machine learning, team management, and a strong track record in delivering production-grade models for safety-critical applications

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.
  • Partner with hardware, firmware, and safety teams to deploy AI models in production environments, ensuring they meet rigorous performance and safety standards.

Matching Summary

Match Score: 85

NVIDIA is seeking a Director of Engineering for its End to End Autonomous Driving team, responsible for leading the design and deployment of state-of-the-art autonomous systems utilizing NVIDIA chips. The ideal candidate will have extensive experience in machine learning, team management, and a strong track record in delivering production-grade models for safety-critical applications.

Salary

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

Skills & Requirements

Must-have

  • Generative, imitation, and reinforcement learning models
  • LLM/VLM/VLA systems for robotics
  • Data generation and collection strategies
  • Deploy AI models in production
  • Integrate ML models into autonomous stack

Nice-to-have

  • Scaling LLM/VLM/VLA for embodied AI
  • Publications or open-source contributions
  • Managing multi-site teams
  • Behavior and motion planning expertise
  • Building large-scale data flywheels

Key Requirements

  • 12+ years of professional experience in AV or AI industry
  • 5+ years of experience managing ML teams
  • Master’s degree or PhD in CS, EE, or related field
  • Production ML planning models at scale
  • Shipping production-grade ML models at scale

Work Rights

Not specified

Tailored Resume

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