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Senior Machine Learning and Simulation Engineer - Autonomous Vehicles

NVIDIA· Engineer, Sys SW
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Santa Clara, CA$224k - $356.5kFull-timePosted 6mo ago

About the role

Senior ML and Simulation Engineer for NVIDIA's Autonomous Vehicles (AV) Simulation team. Lead design of large-scale reinforcement learning training frameworks, develop simulation and data pipelines, and integrate state-of-the-art models for end-to-end autonomous driving within closed-loop RL and simulation environments.

Responsibilities

  • Lead the design and development of large-scale RL training frameworks to accelerate the development of multi-modal AV foundation models.
  • Design, build, and optimize simulation and data processing pipelines to enable scalable training of driving policies.
  • Focus on measuring and enhancing simulation quality and refining the reward function for RL training.
  • Ensure the reliability and performance of training workflows on large GPU clusters through robust monitoring and debugging tools.
  • Partner with researchers to integrate state-of-the-art model architectures into efficient and scalable training pipelines.

Qualifications

  • Bachelor's degree in Computer Science, Robotics, Engineering, or a related field (or equivalent experience).
  • 12+ years of relevant professional experience encompassing large-scale ML training, AV systems, simulation, and AI infrastructure development.
  • Deep proficiency in RL algorithms, such as PPO and GRPO, including practical experience with hyperparameter tuning and reward function design.
  • Exceptional programming skills in C++ and Python.
  • Extensive experience with large-scale GPU clusters, HPC environments, and job scheduling/orchestration tools (e.g., Kubernetes, SLURM).

Skills

Required:Reinforcement LearningC++PythonLarge-scale ML trainingSimulation pipelinesGPU clusters / HPC

Benefits

  • equity
  • benefits (see NVIDIA benefits page)
Last updated Sep 4, 2026. Interested? Apply on the company site.

About NVIDIA

World Leader in AI Computing

NVIDIA invents the GPU and drives advances in AI, HPC, gaming, creative design, autonomous vehicles, and robotics.

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