Robotics Trainer( Humanoid

2 days ago

Shah Alam, Selangor, Malaysia MIT Academy Full time 120,000 - 180,000 per year

Job Title: Robotics Trainer (Humanoid & Unitree Robotics)

Location: Shah Alam, Selangor, Malaysia

Institution: MIT Academy SDN BHD

Employment Type: Full-Time

About Us

MIT Academy is a leading technical training institution dedicated to equipping learners with hands-on experience in robotics, automation, and AI. We work closely with industry leaders to bridge the gap between education and real-world applications through our "Train & Place" and "Place & Train" programs.

Role Overview

We are seeking an enthusiastic and skilled Robotics Trainer specializing in Humanoid and Unitree Robotics. The ideal candidate will train students and professionals in robotic control, programming, and real-world applications using cutting-edge humanoid and quadruped robots.

Key Responsibilities

  • Conduct hands-on training sessions on Humanoid and Unitree robots (e.g., H1, Go1, B2).
  • Teach fundamentals of robot kinematics, motion control, balance, and perception.
  • Guide learners in using ROS/ROS2, Python, and C++ for robot programming.
  • Develop and deliver training modules, workshops, and practical lab exercises.
  • Maintain and troubleshoot robotic systems and ensure safe operation.
  • Collaborate with academic and industry partners for project-based learning.
  • Stay updated with the latest robotics trends and integrate them into the curriculum.

Requirements

  • Bachelor's or Master's degree in Robotics, Mechatronics, Mechanical, or Computer Engineering.
  • Minimum 2 years of experience in robotics training or development.
  • Proficiency in ROS/ROS2, Python, and C++.
  • Familiarity with Unitree platforms, Humanoid robot control, or quadruped locomotion.
  • Knowledge of AI, Computer Vision, or Control Systems is an added advantage.
  • Strong communication and mentoring skills.

Preferred Skills

  • Experience with simulators such as Gazebo, Isaac Sim, or MuJoCo.
  • Understanding of machine learning for robotics (RL, imitation learning).
  • Ability to manage lab equipment and support student projects.

How to Apply

Send your CV to /

Contact us at

Job Types: Full-time, Permanent

Benefits:

  • Opportunities for promotion
  • Professional development

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