Hyphen Connect is seeking a Humanoid Robotic Engineer with expertise in bipedal locomotion and manipulation. The ideal candidate will design and implement advanced control algorithms, particularly using Reinforcement Learning, for robotic systems in both simulation and real-world settings
Job Summary
This role involves designing and implementing sophisticated control algorithms with a focus on Reinforcement Learning to enhance robotic performance.
Candidates will train RL policies in simulation environments like NVIDIA Isaac Sim or MuJoCo and deploy them on physical hardware.
The position requires conducting sim-to-real transfer and analyzing gait and kinematics telemetry for bipedal systems.
Matching Summary
Match Score: 85
Hyphen Connect is seeking a Humanoid Robotic Engineer with expertise in bipedal locomotion and manipulation. The ideal candidate will design and implement advanced control algorithms, particularly using Reinforcement Learning, for robotic systems in both simulation and real-world settings.
Skills & Requirements
Must-have
Bipedal locomotion and manipulation expertise
Reinforcement Learning policy training
Model Predictive Control and Whole-Body Control
NVIDIA Isaac Sim or MuJoCo simulation experience
Sim-to-real transfer implementation
Nice-to-have
Kinematics telemetry analysis skills
Modern RL framework familiarity
Real-world hardware deployment experience
Key Requirements
Strong background in MPC and Whole-Body Control
Extensive experience with robotic simulation environments