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Robotics Data Engineer (m/f/d) Data Generation & Curation

Agilerobotsse Sourced

Munich, Bavaria, Germany Full-time Not specified

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About the role

<p><strong>The AI Teams at Agile Robots</strong> are looking for a <strong>Robotics Data Engineer (m/f/d) Data Generation &amp; Curation</strong>, who will build the pipeline that records, curates, and prepares multimodal robot datasets for foundation-model training. The pipeline has to run across different robot setups and combine real recordings with synthetic data from simulation.</p> <h3><strong>Responsibilities</strong></h3> <ul> <li><strong>Multimodal Capture:</strong> Build ROS 2 based capture for RGB and RGB-D cameras, wrist cameras, joint encoders, force-torque sensors, and teleoperation signals.</li> <li><strong>Synchronization:</strong> Keep multimodal streams time-aligned through sensor synchronization, calibration, and timestamp integrity checks.</li> <li><strong>Dataset Health:</strong> Define and run health checks that detect dropped frames, sync drift, corrupt frames, and missing modalities.</li> <li><strong>Dataset Curation:</strong> Filter and deduplicate recorded data, maintain dataset metadata, and define train and evaluation splits.</li> <li><strong>Synthetic Data Integration:</strong> Integrate synthetic data generated in simulation into the same datasets and formats as real recordings.</li> <li><strong>Preprocessing:</strong> Build preprocessing that aligns, slices, and inspects recorded episodes into a form that foundation-model training can use directly.</li> <li><strong>Formats &amp; Release:</strong> Design dataset schemas and storage formats, version datasets so experiments can be reproduced, and package them for external release where approved.</li> </ul> <h3><strong>Essential Skills</strong></h3> <ul> <li><strong>Engineering Background:</strong> Degree in Computer Science, Robotics, Electrical Engineering, or a related field, or equivalent qualification plus professional experience building comparable data or robotics software systems.</li> <li><strong>ROS 2 Pipelines:</strong> Hands-on experience building sensor recording or data pipelines in ROS 2 with Python.</li> <li><strong>Sensor Synchronization:</strong> Experience synchronizing multiple cameras and sensors, including calibration and handling timestamp drift.</li> <li><strong>Dataset Schemas:</strong> Experience designing schemas and storage layouts for multimodal time-series data, in formats such as Parquet, Zarr, or HDF5.</li> <li><strong>Camera Pipelines:</strong> Working knowledge of camera pipelines and video encoding, and how they affect data size and frame integrity.</li> </ul> <h3><strong>Beneficial Skills</strong></h3> <ul> <li><strong>Dataset Curation:</strong> Experience building curation steps for machine learning datasets, such as filtering, deduplication, and split design.</li> <li><strong>Synthetic Data:</strong> Familiarity with combining simulated and real data in one training dataset.</li> <li><strong>C++ Development:</strong> Experience writing C++ for performance-critical capture or driver code.</li> <li><strong>Robot Learning Datasets:</strong> Familiarity with dataset conventions used in robot learning, such as LeRobot.</li> <li><strong>Teleoperation Data:</strong> Experience recording teleoperation data for imitation learning.</li> </ul><div class="content-conclusion"><h3 class="TranslationField-module__fieldItemName___Q0F_7 TranslationField-module__aboutUsWrapper___WXJpq"><strong>What we offer</strong></h3> <ul> <li> <div>A dynamic high-tech company, combined with financial soundness and world-class investors.</div> </li> <li> <div>Join an interdisciplinary, international team with 60+ different nationalities in a collaborative work environment.</div> </li> <li> <div>Lots of development opportunities as we continue to grow.</div> </li> <li> <div>Challenging tasks and impactful projects alongside experts that enable professional and personal growth.</div> </li> <li> <div>Corporate Benefits Program covering health, mobility, and learning for 100€ net per month.</div> </li> <li> <div>Modern office facilities with a roof

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