Senior Machine Learning And Simulation Engineer - Autonomous Vehicles

Nvidia Corporation

Base: $224,000 - $356,500 (level 5) or $272,000 - ...
Deep proficiency in rl algorithms like ppo and grpo
12+ years of professional experience in ml and av systems
Exceptional c++ and python programming skills
This role centers on developing a Closed-Loop Simulation-based Reinforcement Learning framework to train advanced end-to-end autonomous vehicle models

Job Summary

  • This role centers on developing a Closed-Loop Simulation-based Reinforcement Learning framework to train advanced end-to-end autonomous vehicle models.
  • The successful candidate will lead the design of large-scale RL training frameworks to accelerate multi-modal AV foundation model development.
  • Candidates are eligible for equity, benefits, and a base salary ranging from $224,000 to $431,250 USD depending on the level.

Matching Summary

This role centers on developing a Closed-Loop Simulation-based Reinforcement Learning framework to train advanced end-to-end autonomous vehicle models.

Salary

Base: $224,000 - $356,500 (Level 5) or $272,000 - $431,250 (Level 6); Bonus/Equity: Eligible for equity; Benefits: Comprehensive benefits package included

Skills & Requirements

Must-have

  • Deep proficiency in RL algorithms like PPO and GRPO
  • 12+ years of professional experience in ML and AV systems
  • Exceptional C++ and Python programming skills
  • Experience with large-scale GPU clusters and HPC environments

Nice-to-have

  • Experience in RL infrastructure or LLM training pipelines
  • Background in closed-loop evaluation of end-to-end models
  • Proven record on large-scale data pipeline optimization

Key Requirements

  • Bachelor's degree in Computer Science, Robotics, Engineering, or equivalent
  • 12+ years of relevant professional experience
  • Deep expertise in deep learning and physics AI models

Work Rights

Not specified

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