Bipedal Robotics Engineer: RL, MPC & Sim-to-Real

Leadingnation
Hong Kong, HK

Why this role

Pace
Fast Paced
Collaboration
High
Autonomy
Medium
Decision Impact
Team
Role Level
Individual Contributor

Derived from job-description analysis by Serendipath's career intelligence engine.

What success looks like

  • advanced control algorithm development
  • sim-to-real transfers
Typical background
mechanical or electrical engineering degree

Transferable backgrounds

  • Coming from robotics engineer
  • Coming from controls engineer

Skills & requirements

Required

Bipedal RoboticsReinforcement LearningModel Predictive ControlRobotic Simulation

Preferred

Humanoid Robotics Experience

Stack & domain

Reinforcement LearningModel Predictive ControlRobotic Simulation EnvironmentsRoboticsControl AlgorithmsSimulation

About the role

Original posting from Leadingnation

Leadingnation in Hong Kong is seeking a Humanoid Robotic Engineer specialized in bipedal locomotion and manipulation. The successful candidate will design and implement advanced control algorithms, focusing on Reinforcement Learning to enhance robotic systems' performance in both simulation and real-world applications. Responsibilities include developing control algorithms, training RL policies, and conducting sim-to-real transfers. Ideal candidates should have a strong background in Model Predictive Control and robotic simulation environments.

#J-18808-Ljbffr

Source: Leadingnation careers

Similar roles