MOIA
Data Engineer (Robotics) - Verification & Validation(m/w/x)
Vollzeit
mit Homeoffice
Berufserfahren
Keine Angabe
Berlin, Hamburg
MO
MOIA7 Tage
Data Engineer - Robotics(m/w/x)
Vollzeit
mit Homeoffice
Berufserfahren
AI/ML Job
Keine Angabe
Hamburg
Nejo KI-Zusammenfassung
As a Data Engineer in Robotics, you will design and maintain data pipelines, ensuring the quality and reliability of sensor data. This role involves collaborating with various teams to optimize test strategies and enhance data processes for autonomous mobility.
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Anforderungen
- •Background in data engineering, robotics, scientific computing, simulation, or related technical field
- •Strong programming skills in Python and/or C++, plus proficiency with Bash and Linux environments
- •Experience with timeseries logging formats used in robotics or simulation (e.g., MCAP, ROSbags, HDF5)
- •Experience with multi-modal sensor data or high-dimensional timeseries data
- •Familiarity with cloud platforms (AWS, GCP, or Azure) and scalable data architectures
- •Strong debugging skills and enjoyment of investigating complex data issues
- •Curiosity and analytical skills with persistence in untangling intricate datasets
- •Experience with ROS / ROS2 or other robotics middleware
- •Background in simulation platforms (Unity, Unreal, CARLA, Gazebo, or similar)
- •Contributions to open-source robotics or data tooling
- •Experience with SLAM, mapping, localization, or perception systems
- •Familiarity with visualization tools such as Foxglove, RViz, or custom interfaces
- •Experience with workflow orchestration (Airflow, Kubeflow, Prefect)
- •Experience with containerized environments (Docker, Kubernetes)
- •Understanding of safety standards (ISO 26262, SOTIF) or automotive regulations
- •Knowledge of sensor fusion, calibration, or coordinate systems
- •Comfortable working in a multi-national team with occasional travel for meetings
- •Excitement about shaping the AI backbone of autonomous vehicle validation
Keine Angabe
Berufserfahrung
ca. 1 – 4 Jahre
Deine Aufgaben
- •Build robust data pipelines
- •Design and maintain high-performance data pipelines for sensor data
- •Work with robotics logging formats like MCAP and ROSbags
- •Process multi-modal sensor data including camera, LiDAR, and radar
- •Handle timestamp synchronization and sensor alignment
- •Build cloud-scale storage solutions for large datasets
- •Compare simulation data with real-world logs for consistency
- •Detect anomalies and assess data robustness
- •Perform data preparation and quality assessment
- •Interpret complex sensor logs and extract actionable insights
- •Debug data issues across multiple sensors
- •Collaborate with Simulation, Perception, ML, and Systems teams
- •Support cross-functional teams with data-driven insights
- •Share knowledge through documentation and presentations
- •Contribute to the continuous improvement of data processes
Tools & Technologien
PythonC++BashLinuxAWSGCPAzureROSROS2UnityUnrealCARLAGazeboAirflowKubeflowPrefectDockerKubernetesISO 26262SOTIF
Sprachen
Englisch – verhandlungssicher
Deine Vorteile
Flexibles Arbeiten
- •Flexible working hours
- •Remote work from outside Germany
Sonstige Zulagen
- •Budget for home office setup
Öffi Tickets
- •Fully subsidized public transport ticket
Gesundheits- & Fitnessangebote
- •Subsidized fitness club membership
Weiterbildungsangebote
- •Continuous learning opportunities
Mentale Gesundheitsförderung
- •Mental health support
Mehr Urlaubstage
- •30 vacation days
Sonstige Vorteile
- •Relocation support
Lockere Unternehmenskultur
- •Dog-friendly offices
Die Originalanzeige dieses Stellenangebotes in der aktuellsten Version findest du hier. Nejo hat diesen Job automatisch von der Website des Unternehmens MOIA erfasst und die Informationen auf Nejo mit Hilfe von KI für dich aufbereitet. Trotz sorgfältiger Analyse können einzelne Informationen unvollständig oder ungenau sein. Bitte prüfe immer alle Angaben in der Originalanzeige! Inhalte und Urheberrechte der Originalanzeige liegen beim ausschreibenden Unternehmen.
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