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 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 machine learning solutions for autonomous driving and simulation at scale.

This position centers on developing a closed-loop simulation-based reinforcement learning framework to train advanced end-to-end autonomous vehicle models, such as Alpamayo R1. The position will focus on designing and improving the accuracy and performance of the reinforcement learning framework and simulation, leveraging technologies including NuRec, Traffic Models, and the 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 reinforcement learning training frameworks to accelerate the development of multimodal autonomous vehicle 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 reinforcement learning 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.

Requirements

• Bachelor's degree in Computer Science, Robotics, Engineering, or a related field, or equivalent experience.
• 12 or more years of relevant professional experience encompassing large-scale machine learning training, autonomous vehicle systems, simulation, and AI infrastructure development.
• Deep proficiency in reinforcement learning algorithms such as PPO and 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 environments, and job scheduling or orchestration tools such as Kubernetes and SLURM.

Preferred Qualifications

• Experience in reinforcement learning infrastructure or general LLM training and fine-tuning infrastructure in industry.
• Experience in simulation and closed-loop evaluation of autonomous driving end-to-end models.
• A proven record of large-scale data pipeline development and algorithm optimization.

Compensation and Benefits

The base salary range is USD 224,000–356,500 for Level 5 and USD 272,000–431,250 for Level 6. Base salary will be determined based on location, experience, and the pay of employees in similar positions. The role also includes eligibility for equity and benefits.

Applications will be accepted at least until April 19, 2026. NVIDIA is an equal opportunity employer committed to fostering a diverse work environment.