Robotics Data Engineer, Human Motion Data (m/f/d)

<h2>About EASE</h2><p>EASE builds active, AI-powered exoskeletons for logistics and manufacturing. As a TUM spin-off, we have just started series production, and paid pilots with well-known logistics companies have led to first purchase orders. Our goal: move every parcel better, manually with an exoskeleton or autonomously with a robot.</p><h2>The role</h2><p>Our exoskeletons are deployed in real warehouses and production plants and capture what video-only datasets miss: body pose, joint kinematics, interaction torques, vision, and hand forces from real human work. Your job is to build pipelines that turn raw exoskeleton recordings into clean, robot-ready training data, including retargeting human motion to the humanoid’s body. So in the future human workers and robots can work side by side on the same tasks.</p><h2>What you'll do</h2><ul><li><p>Define signals, formats and metadata for our next exoskeleton generation</p></li><li><p>Build pipelines from devices in the field to storage, incl. sync, calibration and versioning</p></li><li><p>Build tooling for quality checks, segmentation, annotation and dataset export</p></li><li><p>Implement anonymization, consent handling and GDPR-compliant data flows</p></li><li><p>Set up storage and compute together with our robot learning team</p></li></ul><h2>What you bring</h2><ul><li><p>Degree in CS, data engineering, robotics or similar, with hands-on pipeline experience</p></li><li><p>Strong Python and SQL; pipeline tools (e.g. Airflow, Ray or Spark)</p></li><li><p>Time-series or multimodal sensor data, incl. synchronization and calibration</p></li><li><p>Cloud (AWS, GCP or Azure), Docker and Linux</p></li><li><p>Solid understanding of GDPR and personal data</p></li></ul><p>Nice to have</p><ul><li><p>ROS 2, MCAP or LeRobot; annotation or dataset management tools</p></li><li><p>Kubernetes or SLURM; basic ML training workflows in PyTorch</p></li></ul><p>Don't tick every box? Apply anyway. What you have built matters more than a perfect match.</p><h2>What we offer</h2><ul><li><p>Data almost nobody else has, from a product in series deployment</p></li><li><p>The chance to build our data platform from the ground up</p></li><li><p>Competitive salary plus virtual stock options (VSOP)</p></li><li><p>Flexible hours, hybrid in Munich, mobility benefit</p></li><li><p>Budget for conferences and further training</p></li></ul><h2>How to apply</h2><p>Send your CV with links to GitHub or projects you are proud of.</p><p>Martin Fleischer, CEO & Co-Founder</p><p>EASE is an equal opportunity employer. Applicants need a valid work permit for the EU.</p><p>Find more <a href="https://www.arbeitnow.com/english-speaking-jobs">English Speaking Jobs in Germany</a> on Arbeitnow</a>