Senior Machine Learning And Simulation Engineer - Autonomous Vehicles

Details

We are seeking exceptional Senior Machine Learning and Simulation Engineers to join NVIDIA's Autonomous Vehicles (AV) Simulation team. This role requires strong technical leadership and outstanding software engineering skills, coupled with deep expertise in both simulation and artificial intelligence, including deep learning, reinforcement learning, end-to-end driving and Physics AI models. The successful candidate will have a solid track record of productizing ML solutions for autonomous driving and simulation at scale.

This position centers on developing a Closed-Loop Simulation-based Reinforcement Learning (RL) framework in order to train advanced end-to-end AV models (for example, Alpamayo R1). This position will design and improve the accuracy and performance of the RL framework and simulation, leveraging state-of-the-art technologies including NuRec, Traffic Models, and Cosmos World Model. Success in this role requires close collaboration with the AV Platform, AV Product, and Research teams.

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.
• Measure and enhance simulation quality and refine reward functions for RL training.
• Ensure the reliability and performance of training workflows on large GPU clusters through development of robust monitoring and debugging tools.
• Partner with researchers to integrate state-of-the-art model architectures into efficient and scalable training pipelines.

Requirements

• 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 reinforcement learning algorithms (examples listed: PPO, GRPO), including practical experience with hyperparameter tuning and reward function design.
• Exceptional programming skills in C++ and Python for developing efficient systems and data pipelines.
• Extensive experience with large-scale GPU clusters, High-Performance Computing (HPC) environments, and job scheduling/orchestration tools (for example, Kubernetes, SLURM).

Ways to stand out

• Experience in RL infrastructure or industry experience with LLM training/fine-tuning infrastructure.
• Experience in simulation and closed-loop evaluation of autonomous driving end-to-end models.
• Proven record on large-scale data pipeline development and algorithm optimization.

Compensation and Benefits

• Base salary ranges by level:
  • Level 5: 224,000 USD - 356,500 USD
  • Level 6: 272,000 USD - 425,500 USD
• You will also be eligible for equity and benefits. (Links to NVIDIA benefits available in original posting.)

Other details

• Applications for this job will be accepted at least until January 11, 2026.
• NVIDIA is an equal opportunity employer and is committed to fostering a diverse work environment.