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Hyphen Partners is seeking a Humanoid Robotic Engineer with expertise in bipedal locomotion and manipulation to design and implement control algorithms, specifically using Reinforcement Learning. The position requires strong experience in Model Predictive Control and robotic simulation environments.
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Job Summary
The role focuses on developing advanced control algorithms specifically for bipedal locomotion and manipulation tasks.
Candidates will train Reinforcement Learning policies in simulation environments and deploy them onto physical robotic hardware.
The position requires conducting sim-to-real transfer processes to analyze gait and kinematics telemetry data.
Matching Summary
Match Score: 75
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Hyphen Partners is seeking a Humanoid Robotic Engineer with expertise in bipedal locomotion and manipulation to design and implement control algorithms, specifically using Reinforcement Learning. The position requires strong experience in Model Predictive Control and robotic simulation environments.
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Skills & Requirements
Must-have
bipedal locomotion and manipulation
Reinforcement Learning policy training
Model Predictive Control expertise
Whole-Body Control implementation
NVIDIA Isaac Sim or MuJoCo simulation
Nice-to-have
real-world hardware deployment experience
gait and kinematics telemetry analysis
modern RL framework familiarity
Key Requirements
Strong background in Model Predictive Control
Extensive experience with robotic simulation environments