Robotics Intern; Part Time

Robotics Intern (Part Time)

Faraday Future (FF) is a California-based embodied artificial intelligence ecosystem company, leveraging the latest technologies and world’s best talent to realize exciting new possibilities in mobility and robotics. We’re producing user‑centric, technology‑first vehicles and robots to establish new paradigms in human‑AI interaction. At FF, we’re creating something new, something connected, and something with a true global impact.

• Support locomotion, motion control, or learning‑based robotics projects in simulation and on hardware when appropriate.
• Implement and run reinforcement learning, imitation learning, or control experiments under guidance from the team.
• Build tools for logging, visualization, replay, benchmarking, and experiment analysis.
• Assist with simulator setup, training pipelines, evaluation scripts, and result reporting.
• Help collect, organize, and analyze robot experiment data for controller tuning and performance debugging.
• Contribute to prototype features, research explorations, and internal demos related to motion control and robotics learning.

• Currently pursuing a Master’s or PhD degree 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.
• Strong foundation in applied mathematics, including linear algebra, calculus, probability, optimization, or control theory.
• Hands‑on experience or academic research in robotics, reinforcement learning, motion planning and control, optimization, or physics‑based simulation.
• Familiarity with robotics development and experimentation workflows, including iterative testing, evaluation, and debugging.
• Strong problem‑solving ability and willingness to debug experiments independently.
• Demonstrated analytical and problem‑solving skills, with the ability to independently troubleshoot technical challenges and debug experimental results.

• Hands‑on experience with PyTorch, reinforcement learning libraries, or imitation learning workflows.
• Familiarity with Mu Jo Co , Isaac Gym, Isaac Lab, Gazebo, or other robotics simulation environments.
• Hands‑on experience with quadruped robots, humanoids, or legged robot simulation/training environments is highly preferred.
• Experience with reinforcement learning training pipelines, policy optimization, or sim‑to‑real workflows.
• Prior robotics project, lab, or competition experience is strongly preferred.
• Basic C++ knowledge is a plus.
• Ability to document experiments clearly and communicate insights effectively.

( $32/hr - $41/hr DOE ), plus benefits and incentive plans

• Healthcare, dental, and vision benefits (Free for you/discounted for family)
• 401(k) options
• Casual dress code and relaxed work environment
• Culturally diverse, progressive atmosphere

Faraday Future is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.