Location: Irvines, California, United States

Key Responsibilities

AI Research & Development

• Assist in developing Reinforcement Learning (RL), Imitation Learning, and Deep Learning models for robotic motion control.
• Support the implementation of Whole-Body Control (WBC) and Model Predictive Control (MPC) for stability and balance in humanoid robots.
• Experiment with Deep Reinforcement Learning (DRL) techniques for motion planning and trajectory optimization.
• Explore Sim2Real techniques to enhance real-world deployment of AI models.

System Integration & Testing

• Work alongside AI engineers to integrate learning-based models into robotic systems.
• Assist in optimizing AI algorithms for real-time execution and Edge Computing.
• Help test robotic controllers in simulation environments such as ROS, Mujoco, Gazebo, and Isaac Gym.
• Contribute to prototype development and real-world testing of AI-driven robotic motion.

Research & Collaboration

• Stay up-to-date with the latest research in robot learning, reinforcement learning, and AI motion control.
• Participate in brainstorming sessions, technical discussions, and team collaborations.
• Document findings and contribute to internal research reports and presentations.

Qualifications & Experience

Education

• Pursuing a Bachelor‘s, Master’s in AI, Robotics, Computer Science, Mechatronics, or a related field.

Preferred Experience

• Some experience with robot motion control, reinforcement learning, and AI-driven robotics is a plus.
• Familiarity with robot kinematics, sensor fusion, and trajectory optimization.

Technical Skills

• Proficiency in Python and/or C++.
• Experience with TensorFlow, PyTorch, and deep learning frameworks.
• Exposure to robotic simulation tools such as ROS, Mujoco, Gazebo, Isaac Gym is a plus.
• Understanding of Reinforcement Learning (RL), Imitation Learning, or Model Predictive Control (MPC) is preferred.

Additional Skills

• Passion for AI-driven robotics and innovation.
• Strong problem-solving and analytical thinking abilities.
• Ability to work collaboratively in a research-focused environment.

Internship Benefits

• Hands-on experience in AI-powered humanoid robotics.
• Mentorship from leading AI and robotics experts.
• Opportunity to contribute to real-world robotic projects.
• Potential for full-time employment based on performance.