Hyphen Connect is searching for a Humanoid Robotic Engineer specialized in bipedal locomotion and manipulation. This role involves designing and implementing sophisticated control algorithms, focusing on Reinforcement Learning to enhance robotic systems' performance in both 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
Requirements:
- 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