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Data Engineer
Successfully
Req. VR-119409
The aim of this project is to support the Tier-1 in development and maintenance of XIL User Suite and Hil sensor injection.
Injection engineering should be supported for:
• Radar
• Global navigation & satellite system
• Ultrasonic
• Driver Monitoring System
• Camera
The XIL framework is to support the testing of System Under Test (SUT). It integrates a range of components and tools to establish and operate a comprehensive simulation and testing environment.
Perform environment simulations to generate synthetic sensor data (e.g., Radar, GNSS, Camera)
Model sensor-specific signal characteristics (e.g., range, angle, Doppler for Radar, Camera intrinsics)
Validate generated datasets against OEM specifications (e.g., Bosch, Hella)
Integrate simulation outputs with ground-truth tools (e.g., VTD, AURELION)
Maintain and configure simulation pipelines for reproducibility and scalability
Support debugging and data validation during testbench execution
Document simulation setups, data formats, limitations, and known issues
Collaborate with System Engineers and Software Developers to align data generation with system architecture and toolchain requirements
Provide validated datasets for use in automated testing and analysis
Must have
Strong proficiency in simulation tools and environments (e.g., VTD, AURELION, ASM)
Deep understanding of sensor physics and signal modeling (Radar, GNSS, Camera, etc.)
Experience with data processing and validation workflows
Familiarity with ADAS systems and XiL/SIL/HIL test environments
Knowledge of ground-truth modeling and scenario generation standards (e.g., OpenScenario, ASAM OSI)
Proficiency in Python and data engineering libraries (e.g., NumPy, Pandas)
Fluent in English
Nice to have
Ability to work across multiple work packages with tailored responsibilities
German proficiency
ISTQB® (tester), IREB® (requirements), IPMA® (project management) certifications beneficial
Languages
English: C1 Advanced,German: B1 Intermediate
Seniority
Regular
Ingolstadt, Germany
Req. VR-119409
Data Science
Automotive Industry
11/12/2025
Req. VR-119409
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