Humanoid Robotic Engineer

We are searching for a Humanoid Robotic Engineer specialized in bipedal locomotion and manipulation. This role involves designing and implementing sophisticated control algorithms, with a focus on Reinforcement Learning, to enhance the performance of robotic systems both in simulation and real-world applications.

Responsibilities:

Develop and implement advanced control algorithms for bipedal locomotion and manipulation.

Train Reinforcement Learning (RL) policies in simulation and deploy them on physical hardware.

Conduct sim-to-real transfer and analyze gait/kinematics telemetry.

Required Skills:

Strong background in Model Predictive Control (MPC) and Whole-Body Control.

Extensive experience with robotic simulation environments (e.g., NVIDIA Isaac Sim, MuJoCo).

Familiarity with modern RL frameworks.