Hyphen Connect is seeking a Humanoid Robotic Engineer specializing in bipedal locomotion and manipulation. The role involves developing advanced control algorithms, particularly using Reinforcement Learning, for robotic systems in both simulation and real-world environments
Job Summary
The role focuses on designing sophisticated control algorithms to enhance robotic performance in simulation and real-world applications.
Candidates will train Reinforcement Learning policies and deploy them on physical hardware for bipedal locomotion tasks.
The position requires conducting sim-to-real transfer studies and analyzing gait and kinematics telemetry data.
Matching Summary
Match Score: 85
Hyphen Connect is seeking a Humanoid Robotic Engineer specializing in bipedal locomotion and manipulation. The role involves developing advanced control algorithms, particularly using Reinforcement Learning, for robotic systems in both simulation and real-world environments.
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
Sim-to-real transfer analysis skills
Gait and kinematics telemetry analysis
Modern RL framework familiarity
Key Requirements
Strong background in Model Predictive Control
Extensive experience with robotic simulation environments