Senior Deep Reinforcement Learning Engineer - Autonomous Driving

About the role

NVIDIA is seeking a Reinforcement Learning Engineer to contribute to the development of intelligent, safe, and efficient self-driving technology.

Responsibilities

• Build and implement brand new Reinforcement Learning (RL) algorithms for autonomous vehicle decision-making and planning.
• Develop and maintain scalable training pipelines and simulation environments for RL training.
• Collaborate with perception, and planning teams to integrate RL models into the unified autonomous driving stack.
• Benchmark RL model performance against imitation learning baselines in complex urban environments.
• Optimize and deploy RL models to production-grade automotive hardware.

Requirements

• BS or higher in Computer Science, Robotics, Electrical Engineering, or a related field (or equivalent experience).
• 12+ years of experience in the related field.
• Strong background in Reinforcement Learning, including policy gradient methods (PPO, GRPO), actor-critic architectures, on-policy and off-policy RL.
• Proficiency in PyTorch or TensorFlow and real experience with RL-related algorithms.
• Experience in C++ and Python development for real-time systems.
• Strong analytical and problem-solving skills, with a track record of implementing and debugging complex RL systems.

Qualifications

• Background in shipping autonomous driving features or embodied AI.
• Experience with generative models (Flow Matching, Diffusion, or AR-based decoders) in the context of policy representation or trajectory modeling.
• Experience with training policies on their own rollout distributions and handling the compounding error problems inherent in autonomous driving.
• Experience working with large-scale data flywheels, including mining scenarios from fleet telemetry logs, auto-labeling pipelines, and automated performance tracking.

Skills

• Reinforcement Learning
• Policy Gradient Methods
• Actor-Critic Architectures
• On-Policy and Off-Policy RL
• PyTorch or TensorFlow
• C++ and Python Development
• Real-Time Systems
• Generative Models
• Training Policies
• Data Flywheels

Benefits

• Base Salary Range: $224,000 - $356,500
• Equity
• Benefits

Pay

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions.

Schedule

This posting is for an existing vacancy. Applications will be accepted until August 31, 2026.