Humanoid Locomotion Reinforcement Learning Engineer
Pubblicato il 23-08-2026 - Generative Bionics in Genova
Humanoid Locomotion Reinforcement Learning EngineerAbout UsGenerative Bionics is a deep-tech company building humanoid robot platforms to deploy human-centered Physical AI. We design intelligent, capable machines that work alongside people in real-world environments — developed in Genova, Italy.RoleWe are looking for a talented and driven Humanoid Locomotion & Reinforcement Learning Engineer to develop advanced locomotion and whole-body motion capabilities for our humanoid robot platform.In this role, you will work at the intersection of robotics, machine learning, and control systems, designing and deploying reinforcement learning-based solutions that enable robust, dynamic, and adaptive robot behavior. You will contribute to the full development pipeline, from simulation and policy training to sim-to-real transfer and deployment on physical robots.ResponsibilitiesDevelop and train reinforcement learning policies for humanoid locomotion, balance control, and whole-body motion;Design motion generation, imitation learning, and motion retargeting pipelines using demonstrations,
motion capture data, and reference trajectories;Build and maintain accurate robot, actuator, and contact models using simulation environments such as Isaac Lab, Isaac Sim, MuJoCo, or equivalent platforms;Develop domain randomization, system identification, and adaptation techniques to improve sim-to-real transfer performance;Deploy, validate, and optimize learned control policies on physical robots using Python and C++;Implement monitoring, fall detection, recovery strategies, and policy validation mechanisms to ensure safe robot operation;Analyze performance through simulation results, telemetry, robot logs, and experimental testing;Collaborate closely with Mechanical, Electronics, Perception, Controls, and AI teams to integrate locomotion capabilities into the humanoid platform;RequirementsMaster's degree or PhD in Robotics, Control Engineering, Machine Learning, Computer Science, or a relate