Humanoid Robotic Engineer

Hyphen Connect

San Francisco Bay Area, United States
On-site
Model predictive control (mpc)
Whole-body control expertise
Reinforcement learning policy training
Hyphen Connect is seeking a Humanoid Robotic Engineer specializing in bipedal locomotion and manipulation. The role focuses on developing advanced control algorithms, particularly using Reinforcement Learning, for enhancing robotic system performance in both simulations and real-world applications

Job Summary

  • The role involves designing sophisticated 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.
  • Success requires conducting sim-to-real transfers 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 focuses on developing advanced control algorithms, particularly using Reinforcement Learning, for enhancing robotic system performance in both simulations and real-world applications.

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

  • Kinematics telemetry analysis skills
  • Real-world hardware deployment experience
  • Modern RL framework familiarity

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

Cover Letter