Robotics Software Engineer - Locomotion

Job Description

Develop and implement reinforcement learning algorithms for locomotion tasks and design high-fidelity simulation environments for policy training. Evaluate locomotion policies under various real-world conditions and ensure code quality and reproducibility.

Requirements: Candidates should have a solid background in reinforcement learning and hands-on experience with simulation platforms. Proficiency in Python or C++, along with strong analytical skills, is also required.

Key Skills: Reinforcement Learning, Deep RL, Policy Gradient, Model-based RL, Imitation Learning, Simulation Platforms, Python, C++, ML Frameworks, Analytical Skills, Debugging Skills, Sensor Fusion, Feedback Control, Proprioceptive Sensing