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Hyphen Partners is seeking a Humanoid Robotic Engineer with a focus on bipedal locomotion and manipulation. The ideal candidate will be responsible for developing advanced control algorithms and applying Reinforcement Learning techniques for robotic systems.
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Job Summary
The role focuses on designing sophisticated control algorithms to enhance humanoid robotic systems in both simulation and real-world environments.
Candidates will be responsible for training Reinforcement Learning policies and successfully deploying them onto physical hardware.
The position requires conducting sim-to-real transfers and analyzing detailed gait and kinematics telemetry data.
Matching Summary
Match Score: 75
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Hyphen Partners is seeking a Humanoid Robotic Engineer with a focus on bipedal locomotion and manipulation. The ideal candidate will be responsible for developing advanced control algorithms and applying Reinforcement Learning techniques for robotic systems.
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Skills & Requirements
Must-have
Model Predictive Control (MPC)
Whole-Body Control expertise
Reinforcement Learning policy training
NVIDIA Isaac Sim or MuJoCo simulation
Sim-to-real transfer implementation
Nice-to-have
Gait and kinematics telemetry analysis
Real-world hardware deployment experience
Advanced robotic system performance optimization
Key Requirements
Strong background in Model Predictive Control
Extensive experience with robotic simulation environments