Senior Deep Reinforcement Learning Engineer - Autonomous Driving

at Nvidia

📍 Santa Clara, United States

USD 224,000-356,500 per year

SENIOR

✅ On-site

Tech Stack
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AI @ 4 Algorithms @ 6 Debugging @ 7 HPC PyTorch @ 6 Python @ 4 Reinforcement Learning @ 6 Robotics @ 4 TensorFlow @ 6

Details

NVIDIA is pushing the boundaries of self-driving vehicle technology by applying Deep Reinforcement Learning (RL). The team combines AI and high-performance computing to build intelligent, safe, and efficient autonomous driving technology.

Responsibilities

Build and implement new Reinforcement Learning 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

Bachelor's degree or higher in Computer Science, Robotics, Electrical Engineering, or a related field, or equivalent experience.
12 or more years of experience in the related field.
Solid background in Reinforcement Learning, including policy gradient methods such as PPO and GRPO, actor-critic architectures, and on-policy and off-policy RL.
Proficiency in PyTorch or TensorFlow and practical experience with RL-related algorithms.
Experience with 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.

Preferred Qualifications

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

Compensation and Benefits

Base salary range: USD 224,000–356,500 per year, determined by location, experience, and compensation of employees in similar positions.
Eligible for equity and benefits.

Applications will be accepted at least until August 31, 2026. NVIDIA is an equal opportunity employer and uses AI tools in its recruiting processes.