Humanoid Robotic Engineer

Hyphen Connect Limited; San Francisco (CA); On-site; USD 100,000 - 130,000; Full time

Job summary

Hyphen Connect Limited is seeking a Humanoid Robotic Engineer specialized in bipedal locomotion and manipulation in San Francisco, California. The successful candidate will design and implement advanced control algorithms focusing on Reinforcement Learning to enhance robotic systems both in simulation and real-world applications.

Key responsibilities include developing control algorithms, training RL policies, and analyzing telemetry data. Relevant experience with MPC, Whole-Body Control, and robotic simulation environments is essential.

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) frameworks

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.