Humanoid Locomotion Reinforcement Learning Engineer (Robotics)

Location: Via Melen 83, 16152 Genoa, Italy; onsite role

Company

hirify.global develops humanoid robot platforms for human-centered Physical AI and real-world collaboration between people and intelligent machines.

What you will do

• Develop 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 robot, actuator, and contact models in Isaac Lab, Isaac Sim, MuJoCo, or equivalent simulation environments.
• Develop domain randomization, system identification, and adaptation methods for sim-to-real transfer.
• Deploy, validate, monitor, and optimize learned control policies on physical robots using Python and C++.
• Implement fall detection, recovery strategies, policy validation, and performance analysis using telemetry, logs, and experimental testing.

Requirements

• Master’s degree or PhD in Robotics, Control Engineering, Machine Learning, Computer Science, or a related field.
• Experience applying reinforcement learning to humanoid, legged, or whole-body robotic systems.
• Strong knowledge of robot kinematics, dynamics, contact modeling, state estimation, and feedback control.
• Experience with robotics simulation platforms such as Isaac Lab, Isaac Sim, MuJoCo, or equivalent environments.
• Strong Python skills, practical C++ experience for real-time robotics, and experience with PyTorch or equivalent frameworks.
• Experience testing and debugging software on physical robots, with familiarity with Linux, Git, and software development best practices.

Nice to have

• Experience with motion priors, motion capture datasets, demonstrations, animation assets, or learned motion datasets.
• Knowledge of whole-body control, model predictive control, trajectory optimization, inverse dynamics, or hierarchical control.
• Experience with sim-to-real methods, loco-manipulation, contact-rich behaviors, fall prevention, disturbance rejection, or recovery strategies.
• Research publications or open-source and personal robotics projects.

Culture & Benefits

• Work on humanoid robotics and Physical AI problems with real-world impact.
• Collaborate with mechanical, electronics, perception, controls, and AI specialists.
• Stimulating and informal environment alongside technical and research teams.
• Employment contract under the Italian Metalworking Collective Labor Agreement, commensurate with experience.
• Concrete opportunities for professional growth.