# System Integration and Validation Engineer

**Company:** [Applied Intuition](https://hotfix.jobs/companies/applied-intuition)
**Location:** Stuttgart, Germany
**Role:** Hardware Engineering
**Salary:** €70k – €115k/yr
**Experience:** 2+ years
**Skills:** Dspace, Vector, Hardware-In-The-Loop, MATLAB, Simulink, Python, Controldesk, Configurationdesk, Canoe, Canape, Can, Automotive Ethernet, Flexray, Lin, Arxml
**Posted:** 2026-07-31

> Builds and validates automotive Hardware-in-the-Loop environments, integrating vehicle simulation models, test automation, and communication networks. The role requires hands-on dSPACE or Vector experience, Python and MATLAB/Simulink proficiency, and broad automotive systems validation experience.

## Job Description

## Responsibilities
- Assemble, configure, and initialize dSPACE and Vector Hardware-in-the-Loop (HiL) test benches, lab cars, and test environments for new projects.
- Build and integrate vehicle simulation models in MATLAB/Simulink and connect them with HiL hardware systems.
- Analyze high-level system requirements, bridge functional gaps, and design validation strategies despite incomplete documentation.
- Develop Python automation scripts to execute tests across simulated, bench, and prototype vehicle environments.
- Configure vehicle communication networks and assets, including ARXML and K-Matrix files, across CAN, Automotive Ethernet, FlexRay, and LIN protocols.
- Perform failure analysis, collaborating with engineering teams and OEM partners to troubleshoot and resolve system-level bugs.

## Requirements
- 2+ years of experience in automotive systems validation, embedded systems, or hardware integration.
- Broad exposure across multiple vehicle domains, such as ADAS, powertrain, body, or infotainment.
- Self-starter with ownership, energy, and independence in ambiguous environments.
- Hands-on experience building or configuring dSPACE hardware and software, including ControlDesk or ConfigurationDesk, or Vector hardware and software, including CANoe or CANape.
- Proficiency in Python for test automation and MATLAB/Simulink for vehicle model development.
- Practical knowledge of automotive network protocols including CAN, Automotive Ethernet, LIN, and FlexRay, as well as ARXML and K-Matrix network files.

## Nice to Have
- Familiarity with AI or LLM-assisted coding workflows for test generation and scripting.
- Prototype vehicle bring-up and debugging experience in laboratory or track environments.

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