Humanoid Robotic Engineer

Hyphen Partners

Seattle, United States
On-site
Bipedal locomotion and manipulation expertise
Reinforcement learning policy training
Model predictive control and whole-body control
The role focuses on designing advanced control algorithms specifically for bipedal locomotion and manipulation tasks

Job Summary

  • The role focuses on designing advanced control algorithms specifically for bipedal locomotion and manipulation tasks.
  • Candidates will train Reinforcement Learning policies in simulation environments and successfully deploy them on physical hardware.
  • The position requires conducting sim-to-real transfers and analyzing gait and kinematics telemetry data.

Matching Summary

The role focuses on designing advanced control algorithms specifically for bipedal locomotion and manipulation tasks.

Skills & Requirements

Must-have

  • Bipedal locomotion and manipulation expertise
  • Reinforcement Learning policy training
  • Model Predictive Control and Whole-Body Control
  • NVIDIA Isaac Sim or MuJoCo simulation
  • Sim-to-real transfer deployment

Nice-to-have

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

Key Requirements

  • Strong background in MPC and Whole-Body Control
  • Extensive experience with robotic simulation environments
  • Familiarity with modern RL frameworks

Work Rights

Not specified

Tailored Resume

Cover Letter