Humanoid Robotic Engineer

Hyphen Partners

San Francisco Bay Area, United States
On-site
Model predictive control mpc
Whole-body control expertise
Reinforcement learning policies
Hyphen Partners is seeking a Humanoid Robotic Engineer with expertise in bipedal locomotion and manipulation, focusing on control algorithms and Reinforcement Learning. The role involves developing advanced control systems to enhance robotic performance in simulations and real-world applications

Job Summary

  • The role involves designing and implementing sophisticated control algorithms focused on Reinforcement Learning for robotic systems.
  • Candidates will train RL policies in simulation environments like NVIDIA Isaac Sim and deploy them on physical hardware.
  • The position requires conducting sim-to-real transfer and analyzing gait and kinematics telemetry data.

Matching Summary

Match Score: 85

Hyphen Partners is seeking a Humanoid Robotic Engineer with expertise in bipedal locomotion and manipulation, focusing on control algorithms and Reinforcement Learning. The role involves developing advanced control systems to enhance robotic performance in simulations and real-world applications.

Skills & Requirements

Must-have

  • Model Predictive Control MPC
  • Whole-Body Control expertise
  • Reinforcement Learning policies
  • NVIDIA Isaac Sim simulation
  • MuJoCo simulation environment

Nice-to-have

  • Sim-to-real transfer experience
  • Gait kinematics telemetry analysis
  • Physical hardware deployment skills

Key Requirements

  • Strong background in Model Predictive Control
  • Extensive experience with robotic simulation environments
  • Familiarity with modern RL frameworks

Work Rights

Not specified

Tailored Resume

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