Tuyển dụng

Key Responsibilities:

• Design, implement, and optimize algorithms for robots using ROS.

• Develop state estimation algorithms to improve the accuracy and stability of robotic systems.

• Build and optimize motion planning algorithms for humanoid robots.

• Research and apply SLAM methods for localization and mapping in unknown environments.

• Develop inverse kinematics, trajectory planning, and force control.

• Work with simulation environments such as Gazebo, Mujoco, and IsaacGym to test and evaluate algorithms.

• Collaborate with software and hardware teams to deploy algorithms on real-world robotic systems.

Requirements:

• Bachelor's, Master's, or Ph.D. in Robotics, Control Engineering – Automation, Mechatronics, Computer Science, or related fields.

• Proficient in C++ and Python programming, with experience working with ROS/ROS2.

• Strong understanding of SLAM, State Estimation, and Motion Planning.

• Solid knowledge of optimization algorithms and robotic system modeling.

• Preference for candidates with hands-on experience in real robotic systems or deploying algorithms on physical robots.

Preferred Qualifications:

• Experience with simulation platforms such as Gazebo, Mujoco, and IsaacGym.

• Knowledge of control and motion planning libraries like MoveIt and OMPL.