System Integration and Validation Engineer
$60k - $300k • Stuttgart • FullTime
Posted 1mo ago
Remote Work Policy
On-site
Employment Type
FullTime
Categories
Applied AI Engineer
About the job
Applied Intuition is seeking a System Integration and Validation Engineer to join their team at the intersection of System Integration and Validation. In this role, you will be responsible for building and configuring Hardware-in-the-Loop (HiL) environments from scratch, rather than simply running pre-written scripts. The ideal candidate is a systemic thinker who thrives in ambiguity, can independently bridge functional gaps with incomplete requirements, and connect dots across the entire vehicle architecture while collaborating closely with OEM partners.
Responsibilities
- Assemble, configure, and initialize dSPACE and Vector HiL test benches, lab cars, and test environments for new projects.
- Build and integrate complex vehicle simulation models in MATLAB/Simulink and link them with HiL hardware systems.
- Analyze system requirements, bridge functional gaps, and design validation strategies with minimal documentation.
- Develop automation scripts in Python for testing across simulated, bench, and prototype vehicle environments.
- Configure vehicle communication networks and assets (ARXML, K-Matrix) across CAN, Automotive Ethernet, FlexRay, and LIN protocols.
- Perform failure analysis, troubleshoot, and resolve system-level bugs in collaboration with engineering teams and OEM partners.
Requirements
- 2+ years in automotive systems validation, embedded systems, or hardware integration with broad exposure across multiple vehicle domains.
- Self-starter with a proactive attitude and the independence to drive projects forward.
- Hands-on experience building/configuring dSPACE (ControlDesk/ConfigurationDesk) or Vector hardware and software (CANoe, CANape).
- Proficiency in Python for test automation.
- Proficiency in MATLAB/Simulink for vehicle model development.
- Practical knowledge of automotive network protocols (CAN, Automotive Ethernet, LIN, FlexRay).
- Practical knowledge of automotive network files (ARXML, K-Matrix).