Hyphen Connect is seeking a Humanoid Robotic Engineer specializing in bipedal locomotion and manipulation, focusing on the development of advanced control algorithms using Reinforcement Learning. This on-site role requires experience in robotic simulations and an understanding of Model Predictive Control
Job Summary
The role focuses on designing sophisticated control algorithms to enhance humanoid robotic performance in both simulation and real-world settings.
Candidates will be responsible for training Reinforcement Learning policies and executing sim-to-real transfers on physical hardware.
Success requires a strong foundation in Model Predictive Control and Whole-Body Control methodologies.
Matching Summary
Match Score: 85
Hyphen Connect is seeking a Humanoid Robotic Engineer specializing in bipedal locomotion and manipulation, focusing on the development of advanced control algorithms using Reinforcement Learning. This on-site role requires experience in robotic simulations and an understanding of Model Predictive Control.
Skills & Requirements
Must-have
Bipedal locomotion and manipulation expertise
Reinforcement Learning policy training
Model Predictive Control (MPC) background
Whole-Body Control experience
NVIDIA Isaac Sim or MuJoCo simulation
Nice-to-have
Real-world hardware deployment skills
Gait and kinematics telemetry analysis
Modern RL framework familiarity
Key Requirements
Extensive experience with robotic simulation environments