Motion Control and Planning Intern

Tech Stack

Responsibilities

• Partner with a mentor to define and execute a scoped Reinforcement Learning project from initial simulation to deploying a functional demo on humanoid hardware.
• Iterate on learning algorithms in high-fidelity simulators and assist in the "sim-to-real" transfer process to ensure robust performance on physical robots.
• Work alongside robotics and hardware teams to troubleshoot system-level challenges and understand the interplay between code and motors.
• Help refine training pipelines or data processing tools (such as motion retargeting from human demonstrations) to improve how robots learn.
• Present project findings and hardware results to the broader engineering team, gaining experience in how to translate data into technical milestones.

Soft Skills

Benefits

• Gym Membership
• Health Insurance
• Learning Budget

Culture

Requirements