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Deep Learning Engineer, End-To-End Autonomous Driving

NVIDIA is the world leader in accelerated computing, pioneering AI and digital twins to transform industries.
$184,000 - $356,500
Machine Learning
Staff Software Engineer
Hybrid
5,000+ Employees
8+ years of experience
AI · Automotive

Job Description

NVIDIA is seeking exceptional engineers for their autonomous driving team to revolutionize end-to-end autonomous driving systems. The role focuses on developing cutting-edge AI solutions using LLMs, VLMs, and VLAs for autonomous vehicles and robotics. As a Deep Learning Engineer, you'll be at the forefront of AI 2.0, teaching intelligent agents to drive through advanced reasoning and planning capabilities. The position offers competitive compensation ranging from $184,000 to $356,500 depending on level and experience, plus equity benefits. The ideal candidate will have extensive experience in deep learning, autonomous systems, and production deployment of ML models. This is an opportunity to shape the future of autonomy at a world-leading company in accelerated computing, working on projects that directly impact the automotive industry and broader robotics applications. The role combines theoretical expertise in AI with practical implementation in safety-critical systems, requiring both technical depth and cross-functional collaboration skills.

Last updated 15 hours ago

Responsibilities For Deep Learning Engineer, End-To-End Autonomous Driving

  • Design and train innovative large-scale models including generative, imitation, and reinforcement learning
  • Build, pre-train, and fine-tune LLM/VLM/VLA systems for autonomous driving
  • Explore novel data generation and collection strategies
  • Collaborate with cross-functional teams to deploy AI models
  • Integrate machine learning models with vehicle firmware

Requirements For Deep Learning Engineer, End-To-End Autonomous Driving

Python
  • Hands-on experience building LLMs, VLMs, or VLAs from scratch or top-tier coding skills
  • Deep understanding of modern deep learning architectures
  • Experience deploying production-grade ML models for self-driving
  • Strong programming skills in Python and deep learning frameworks
  • Familiarity with C++ for safety-critical systems
  • Master's degree or PhD (or equivalent experience)
  • 8+ years of work experience in AV or related field

Benefits For Deep Learning Engineer, End-To-End Autonomous Driving

Equity
  • Equity

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