System Integration and Validation Engineer

About This Opportunity

Our talent team is representing a confidential automotive technology client in their search for a System Integration and Validation Engineer based in Stuttgart. This is a unique opportunity to work at the intersection of hardware integration and systems validation, building test environments from the ground up rather than simply executing pre-written scripts. You'll be a systemic thinker who thrives in ambiguity, taking incomplete requirements and designing complete validation strategies while collaborating closely with OEM partners.

Responsibilities

• Assemble, configure, and initialize dSPACE and Vector Hardware-in-the-Loop (HiL) test benches, lab cars, and test environments from scratch for new projects
• Build and integrate complex vehicle simulation models in MATLAB/Simulink and link them directly with HiL hardware systems
• Analyze high-level system requirements, bridge functional gaps, and design complete validation strategies even when documentation is minimal or incomplete
• Develop robust automation scripts in Python to execute tests 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 deep-dive failure analysis when tests fail, collaborating with core engineering teams and OEM partners to troubleshoot and resolve system-level bugs

What We're Looking For

• 2+ years in automotive systems validation, embedded systems, or hardware integration with broad exposure across multiple vehicle domains (e.g., ADAS, Powertrain, Body, Infotainment) rather than a single-domain focus
• Self-starter mindset with high energy and the independence to drive projects forward without waiting for perfect requirements or step-by-step instructions
• Hands-on experience building and configuring dSPACE (ControlDesk/ConfigurationDesk) or Vector hardware and software (CANoe, CANape)
• Proficiency in Python for test automation and MATLAB/Simulink for vehicle model development
• Practical knowledge of automotive network protocols (CAN, Automotive Ethernet, LIN, FlexRay) and network files (ARXML, K-Matrix)
• Strong ability to take ownership, work independently, and thrive in ambiguous situations

Nice to have: Familiarity with AI/LLM-assisted coding workflows, prototype vehicle bring-up and debugging experience in lab or track environments.

How We Work With You

Candidates apply directly through Get A Job.ai. Our recruiting team will screen your application and conduct an initial interview to understand your background and goals. If there's a strong match, we'll submit your profile to our client for consideration. Please do not contact the client directly—all communication flows through our team to ensure a professional and organized process.

Equal Opportunity

Get A Job.ai is committed to inclusive hiring practices. We encourage applications from candidates of all backgrounds and experiences. If you're excited about this role but don't meet every qualification listed, we still encourage you to apply—you may be exactly what we're looking for.