Humanoid Robotic Engineer

4 мес. назад

USA

model predictive controlwhole-body controlreinforcement learningnvidia isaac simmujoco

Engineer specialized in humanoid robotics focusing on bipedal locomotion and reinforcement learning control algorithms for robotic systems.

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.

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.
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.