Deep Learning Senior Engineer, End-to-end Autonomous Driving

Invidia

Multiple Locations
Base: 184,000 usd - 287,500 usd for level 4, 224,0...
Building llm/vlm/vla systems
Deep learning architectures and optimization
Production-grade ml model deployment
At NVIDIA, we are seeking exceptional engineers to join our autonomous driving team to design, implement, and deploy cutting-edge end-to-end autonomous driving systems, running on NVIDIA chips in mass-production vehicles

Job Summary

  • At NVIDIA, we are seeking exceptional engineers to join our autonomous driving team to design, implement, and deploy cutting-edge end-to-end autonomous driving systems, running on NVIDIA chips in mass-production vehicles.
  • You will build, pre-train, and fine-tune LLM/VLM/VLA systems for deployment in real-world autonomous driving and robotics applications while ensuring performance, safety, and reliability standards are met.
  • Your base salary will be determined based on your location, experience, and the pay of employees in similar positions, with eligibility for equity and benefits.

Matching Summary

At NVIDIA, we are seeking exceptional engineers to join our autonomous driving team to design, implement, and deploy cutting-edge end-to-end autonomous driving systems, running on NVIDIA chips in mass-production vehicles.

Salary

Base: 184,000 USD - 287,500 USD for Level 4, 224,000 USD - 356,500 USD for Level 5; Bonus/Equity: Eligible for equity; Benefits: Eligible for benefits

Skills & Requirements

Must-have

  • Building LLM/VLM/VLA systems
  • Deep learning architectures and optimization
  • Production-grade ML model deployment
  • Python programming skills
  • C++ for safety-critical integration

Nice-to-have

  • Experience with behavior and motion planning
  • Open-source contributions or publications
  • Optimizing algorithms for real-time performance
  • Large-scale dataset and model training
  • Cross-functional team collaboration

Key Requirements

  • PhD with 4+ years or MS with 6+ years relevant experience
  • Proven track record in autonomous systems
  • Strong programming proficiency in Python and C++
  • Experience deploying ML models at scale

Work Rights

Not specified

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