Develop and maintain the core agentic robotics OS, integrate and validate manipulation and learning components on humanoid platforms, collect data and teleoperate, and turn research into robust deployable software tested on physical robots.

Conduct a Master’s thesis building a teleoperation pipeline for a humanoid robot: implement teleoperation, design high-frequency data storage, process and augment recorded demonstrations, and integrate with physical hardware alongside senior engineers.

Deploy and adapt an agentic OS on humanoid and mobile-manipulation robots at customer sites across Europe. Configure skills, tune perception and manipulation pipelines, commission hardware, run teleoperation and data-collection campaigns, and contribute production ROS 2/Python code back to the core platform while acting as the primary on-site technical contact.