Humanoid Robotic Engineer
Hong Kongonsitemid
via Greenhouse
About this role
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).…
What we'd score you on
reqspace match rubricFive dimensions, recruiter-grade. Upload your resume and we'll generate a written explanation of where you fit and where the gaps are.
1
Skills match
We compare your skills against the role requirements.
2
Level fit
This role is mid-level. We check your trajectory against it.
3
Domain experience
Your work in the role's domain matters more than your years total. We weight recent and direct experience.
4
Recency
A skill you used last quarter weighs more than one from five years ago. We grade on recency, not lifetime.
5
Location fit
This role is based in Hong Kong. We weight your proximity and willingness to relocate.
Score yourself on this role.
Free · no card · written explanation included