NVIDIA is looking for exceptional Senior Machine Learning and Simulation Engineers to join its Autonomous Vehicles Simulation team. This role emphasizes strong technical leadership and software engineering skills, focusing on developing a Closed-Loop Simulation-based Reinforcement Learning framework for training advanced autonomous vehicle models. The successful candidate will collaborate closely with various teams to enhance simulation quality and performance. The position requires deep expertise in simulation and artificial intelligence, particularly in reinforcement learning and deep learning.

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

• Lead the design and development of large-scale RL training frameworks for multi-modal AV foundation models.
• Design, build, and optimize simulation and data processing pipelines for scalable training of driving policies.
• Measure and enhance simulation quality while refining the reward function for RL training.
• Ensure 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 training pipelines.

• Employees at NVIDIA are often offered comprehensive, day-one benefits—including medical, dental, and vision coverage with HSA support, life and disability insurance, an Employee Assistance Program, and a 401(k) with auto-enrollment. Many roles also have generous time off and holidays, donation matching (up to $10,000), and a wide menu of extras like FSAs, commuter benefits, legal and identity-theft protection, pet insurance, and wellness discounts. Optional programs can include student-loan and home-purchase support, plus family care resources and expert medical services.