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.
Skills Required
- Strong background in Model Predictive Control (MPC)
- Experience with Whole-Body Control
- Extensive experience with robotic simulation environments (e.g., NVIDIA Isaac Sim, MuJoCo)
- Familiarity with modern Reinforcement Learning frameworks
- Experience training RL policies in simulation and deploying on physical hardware (sim-to-real)
- Ability to analyze gait and kinematics telemetry
What We Do
Hyphen Connect is a Web3 and AI talent agency and crypto-integrated software solutions provider that connects blockchain, DeFi, NFT, and AI companies with specialized technical and go-to-market talent globally and remotely. They deliver headhunting, data-driven research, and recruitment services across infrastructure, exchanges, gaming, and DeFi projects, plus industry analysis and hiring insights to help clients build engineering and product teams.
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