Senior Deep Reinforcement Learning Engineer - Autonomous Driving
Core
Build and implement Reinforcement Learning (RL) algorithms for autonomous vehicle decision-making, planning, and optimization of 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
Deliverable
production ML models
Required skills
Reinforcement Learning (policy gradient, actor-critic, on-policy/off-policy), PyTorch or TensorFlow, C++ for real-time systems, Python, scalable training pipeline development, simulation environment design, model benchmarking, hardware optimization.
Preferred skills
Embodied AI, generative models (Flow Matching, Diffusion), large-scale data flywheels, fleet telemetry mining, auto-labeling pipelines.
Responsibilities
Build new RL algorithms for AV decision-making; develop and maintain scalable training pipelines and simulation environments; integrate RL models into the autonomous driving stack; benchmark RL models against imitation learning baselines; optimize and deploy RL models to production automotive hardware.
Seniority
Senior, hands-on IC