Robotics Intern (Part Time)

About the role#

Faraday Future is seeking a part-time Robotics Intern to support robotics control and learning initiatives. This role is designed for graduate students to gain hands-on experience in robot locomotion, reinforcement learning, simulation, and experimental validation while collaborating with a motion control team.

What you'll do#

• Support locomotion, motion control, and learning-based robotics projects in both simulation and hardware environments.
• Implement and execute reinforcement learning, imitation learning, and control experiments under team guidance.
• Develop tools for logging, visualization, replay, benchmarking, and experiment analysis.
• Assist with simulator setup, training pipelines, evaluation scripts, and reporting results.
• Collect, organize, and analyze robot experiment data to support controller tuning and performance debugging.
• Contribute to prototype features, research explorations, and internal demos related to motion control and robotics learning.

What you'll need#

• Currently pursuing a Master’s or PhD in Robotics, Computer Science, Electrical Engineering, Mechanical Engineering, Artificial Intelligence, or a related field.
• Strong Python programming skills, including experience developing and debugging technical or research-oriented code.
• A solid foundation in applied mathematics, specifically linear algebra, calculus, probability, optimization, or control theory.
• Hands-on experience or academic research in robotics, reinforcement learning, motion planning, control, optimization, or physics-based simulation.
• Familiarity with robotics development workflows, including iterative testing, evaluation, and debugging.
• Ability to independently troubleshoot technical challenges and document experiments clearly.
• Preferred experience includes PyTorch, reinforcement learning libraries, robotics simulation environments (such as MuJoCo, Isaac Gym, or Gazebo), and work with legged robots.

Location & details#

• Location: El Segundo, California.
• Modality: On-site.
• Employment Type: Part-time, rolling internship.