MO
MOIA8 Stunden
Data Engineer (Robotics) - Verification & Validation(m/w/x)
Vollzeit
mit Homeoffice
Berufserfahren
AI/ML Job
Data Science
Keine Angabe
Berlin, Hamburg
Nejo KI-Zusammenfassung
As a Data Engineer in the Verification & Validation team, you will design and maintain data pipelines, ensuring the quality and reliability of sensor data for autonomous driving systems. This role involves collaboration across teams to optimize test strategies and enhance data processes.
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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++, proficiency with Bash and Linux
- •Experience with timeseries logging formats used in robotics or simulation (MCAP, ROSbags, HDF5, or similar)
- •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, 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 (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
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 and LiDAR
- •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 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 continuous improvement of data processes
Tools & Technologien
PythonC++BashLinuxMCAPROSBagsHDF5AWSGCPAzureROSROS2UnityUnrealCARLAGazeboAirflowKubeflowPrefectDockerKubernetesISO 26262SOTIF
Sprachen
Englisch – verhandlungssicher
Deine Vorteile
Flexibles Arbeiten
- •Flexible working hours
Sonstige Zulagen
- •Budget for home office setup
Öffi Tickets
- •Fully subsidized public transport ticket
Gesundheits- & Fitnessangebote
- •Subsidized fitness club membership
Weiterbildungsangebote
- •Learning environment with continuous learning
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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