Hyphen Connect is seeking a Humanoid Robotic Engineer specialized in bipedal locomotion and manipulation. The role involves designing and implementing sophisticated control algorithms with a focus 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