Humanoid Robotic Engineer

Hyphen Connect; Oregon (WI); On-site; USD 90,000 - 130,000; Full time

Job summary

Hyphen Connect is seeking a Humanoid Robotic Engineer in the United States. This role focuses on developing sophisticated control algorithms for bipedal locomotion and manipulation using Reinforcement Learning. The ideal candidate will have a strong background in Model Predictive Control and experience with robotic simulation environments. Responsibilities include training RL policies in simulation, deploying them on hardware, and analyzing gait telemetry. Candidates excited about advancing robotics in real-world applications are encouraged to apply.

Qualifications

• Strong background in Model Predictive Control (MPC) and Whole-Body Control.
• Extensive experience with robotic simulation environments (e.g., NVIDIA Isaac Sim, MuJoCo).
• Familiarity with modern RL frameworks.

Responsibilities

• Develop and implement advanced control algorithms for bipedal locomotion and manipulation.
• Train Reinforcement Learning (RL) policies in simulation and deploy them on physical hardware.
• Conduct sim-to-real transfer and analyze gait/kinematics telemetry.

Skills

Model Predictive Control (MPC)

Whole-Body Control

Robotic simulation environments

Reinforcement Learning (RL)

Job description

We are searching for a Humanoid Robotic Engineer specialized in bipedal locomotion and manipulation. This role involves designing and implementing sophisticated control algorithms, with a focus on Reinforcement Learning, to enhance the performance of robotic systems both in simulation and real-world applications.

Responsibilities

• Develop and implement advanced control algorithms for bipedal locomotion and manipulation.
• Train Reinforcement Learning (RL) policies in simulation and deploy them on physical hardware.
• Conduct sim-to-real transfer and analyze gait/kinematics telemetry.

Required Skills

• Strong background in Model Predictive Control (MPC) and Whole-Body Control.
• Extensive experience with robotic simulation environments (e.g., NVIDIA Isaac Sim, MuJoCo).
• Familiarity with modern RL frameworks.