NVIDIA
Senior Machine Learning and Simulation Engineer - Autonomous Vehicles
$224K–$431K
US, CA, Santa Clara · Senior · Full-time · Posted Aug 29, 2026
- Experience
- 12+ years of relevant professional experience encompassing large-scale ML training, AV systems, simulation, and AI infrastructure development.
- Education
- Bachelor's degree in Computer Science, Robotics, Engineering, or a related field (or equivalent experience).
About the job
Leads development of closed-loop simulation and reinforcement-learning frameworks to train and evaluate scalable end-to-end autonomous-driving models.
What you'll do
- Design large-scale RL training frameworks and scalable simulation and data-processing pipelines.
- Measure and improve simulation quality and refine RL reward functions.
- Build reliable, performant workflows on large GPU clusters, including monitoring and debugging tools.
What they ask for
- Bachelor's degree in Computer Science, Robotics, Engineering, or a related field (or equivalent experience).
- Deep proficiency in RL algorithms, such as PPO and GRPO, including 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 such as Kubernetes or SLURM.
Nice to have
- Industry experience in RL infrastructure or general LLM training/fine-tuning infrastructure.
- Experience in autonomous-driving simulation and closed-loop evaluation of end-to-end models.
Pay
224,000 USD - 356,500 USD (base salary, Level 5); 272,000 USD - 431,250 USD (base salary, Level 6)
Tools
PPO, GRPO, C++, Python, Kubernetes, SLURM, NuRec, Cosmos World Model
AI focus
Develops closed-loop simulation-based reinforcement learning to train advanced end-to-end autonomous-driving models, including multi-modal AV foundation models; work includes RL algorithms, reward design, and integrating state-of-the-art model architectures.
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