Senior Deep Reinforcement Learning Engineer - Autonomous Driving
NVIDIA· Engineer, Sys SW
Santa Clara, CA$224k - $356.5kfull-timePosted 1mo ago
About the role
NVIDIA seeks a Senior Reinforcement Learning Engineer to advance self-driving vehicle technology using deep reinforcement learning. Responsibilities include building new RL algorithms for autonomous decision-making, developing scalable training pipelines and simulators, integrating RL models into the autonomous driving stack, benchmarking against imitation learning baselines, and deploying models to production automotive hardware.
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.
Qualifications
- BS or higher in Computer Science, Robotics, Electrical Engineering, or a related field (or equivalent experience).
- 12+ years of experience in the related field.
- Solid 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 algorithm
- 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.
Skills
Required:Reinforcement LearningPyTorchC++PythonSystem IntegrationDebugging / Troubleshooting
Nice to have:TensorFlow
Benefits
- equity
- benefits (website link provided)
Last updated Aug 28, 2026. Interested? Apply on the company site.
About NVIDIA
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NVIDIA invents the GPU and drives advances in AI, HPC, gaming, creative design, autonomous vehicles, and robotics.
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