Teams at UMA

This open candidate position invites individuals passionate about Robotics and AI to propose innovative ideas and solutions in a fast-paced startup environment.

Own the whole-body controller and state estimation for a humanoid robot on real hardware. Responsibilities include designing locomotion and loco-manipulation controllers, floating-base estimation, contact detection, sensor fusion, real-time optimal control, actuator characterization, simulation-to-hardware deployment, model-based and learned policy integration, and diagnostic tooling.

Develop and implement learning-based control systems for humanoid robots, using reinforcement learning and other techniques, while optimizing performance and conducting experiments.