The AI Teams at Agile Robots are looking for a Robotics Data Engineer (m/f/d) Data Generation & Curation, 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.
Responsibilities
- Multimodal Capture: Build ROS 2 based capture for RGB and RGB-D cameras, wrist cameras, joint encoders, force-torque sensors, and teleoperation signals.
- Synchronization: Keep multimodal streams time-aligned through sensor synchronization, calibration, and timestamp integrity checks.
- Dataset Health: Define and run health checks that detect dropped frames, sync drift, corrupt frames, and missing modalities.
- Dataset Curation: Filter and deduplicate recorded data, maintain dataset metadata, and define train and evaluation splits.
- Synthetic Data Integration: Integrate synthetic data generated in simulation into the same datasets and formats as real recordings.
- Preprocessing: Build preprocessing that aligns, slices, and inspects recorded episodes into a form that foundation-model training can use directly.
- Formats & Release: Design dataset schemas and storage formats, version datasets so experiments can be reproduced, and package them for external release where approved.
Essential Skills
- Engineering Background: Degree in Computer Science, Robotics, Electrical Engineering, or a related field, or equivalent qualification plus professional experience building comparable data or robotics software systems.
- ROS 2 Pipelines: Hands-on experience building sensor recording or data pipelines in ROS 2 with Python.
- Sensor Synchronization: Experience synchronizing multiple cameras and sensors, including calibration and handling timestamp drift.
- Dataset Schemas: Experience designing schemas and storage layouts for multimodal time-series data, in formats such as Parquet, Zarr, or HDF5.
- Camera Pipelines: Working knowledge of camera pipelines and video encoding, and how they affect data size and frame integrity.
Beneficial Skills
- Dataset Curation: Experience building curation steps for machine learning datasets, such as filtering, deduplication, and split design.
- Synthetic Data: Familiarity with combining simulated and real data in one training dataset.
- C++ Development: Experience writing C++ for performance-critical capture or driver code.
- Robot Learning Datasets: Familiarity with dataset conventions used in robot learning, such as LeRobot.
- Teleoperation Data: Experience recording teleoperation data for imitation learning.
What we offer
- A dynamic high-tech company, combined with financial soundness and world-class investors.
- Join an interdisciplinary, international team with 60+ different nationalities in a collaborative work environment.
- Lots of development opportunities as we continue to grow.
- Challenging tasks and impactful projects alongside experts that enable professional and personal growth.
- Corporate Benefits Program covering health, mobility, and learning for 100€ net per month.
- Modern office facilities with a rooftop terrace overlooking Munich, free drinks & fruits, and regular company events contribute to a good working environment
About us
Agile Robots SE is an international high-tech company based in Munich, Germany with a production site in Kaufbeuren and more than 3500 employees worldwide. Our mission is to bridge the gap between artificial intelligence and robotics by developing systems that combine state-of-the-art force-moment-sensing and world-leading image-processing technology. This unique combination of technologies allows us to provide user-friendly and affordable robotic solutions that enable intelligent precision assembly.
This is made possible by our employees, who bring out the best in each and every day with creativity and enthusiasm. Become part of this team and shape the future of robotics with us!
We are proud of our diversity and welcome your application regardless of gender and sexual identity, nationality, ethnicity, religion, age, or disability.