# Robotics Data Engineer (m/f/d) Data Generation & Curation at Agile Robots SE

- Company: Agile Robots SE
- Status: Open
- Workplace: On-site
- Location: Munich, Bavaria, Germany
- Level: Mid-level
- Discipline: Data
- Employment: Full-time
- Posted: 2026-10-15
- Skills: ROS 2
- Apply: https://job-boards.eu.greenhouse.io/agilerobotsse/jobs/5006103101

## Description

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.
•

More Agile Robots SE roles: https://deviantjobs.com/companies/agile-robots-se