Senior Deep Reinforcement Learning Engineer - Autonomous Driving
Core
Build and implement new Reinforcement Learning (RL) algorithms for autonomous vehicle decision-making and planning, optimizing and deploying models to production-grade automotive hardware.
Role type
Senior Deep Reinforcement Learning Engineer (Autonomous Driving)
Builds
Scalable training pipelines, simulation environments, and RL models integrated into the unified autonomous driving stack.
Domain
Autonomous driving, Deep Reinforcement Learning, High-performance computing
Deliverable
production ML models
Required skills
Reinforcement Learning (policy gradient methods, actor-critic architectures), PyTorch or TensorFlow, C++ for real-time systems, Python, algorithm debugging
Preferred skills
Embodied AI, generative models (Flow Matching, Diffusion), large-scale data flywheels, fleet telemetry mining
Technologies
PyTorch, TensorFlow, C++, Python
Responsibilities
Develop RL algorithms for decision-making, maintain training pipelines and simulation environments, integrate RL models with perception and planning teams, benchmark model performance, optimize and deploy to automotive hardware
Seniority
Senior, hands-on IC
