As a Validation Engineer, you will be responsible for the system-level validation of automotive EE subsystems using static bench test environments.  
Working across powertrain, HV, thermal, body and chassis systems, you will design, configure, and execute test cases on the benches, ensuring ECUs and vehicle systems are validated against requirements before vehicle integration.  

You will love this role if you enjoy working hands-on with complex automotive systems, both on the bench and in the vehicle, and take ownership of test quality from setup through to results analysis. 

Where you’ll make an impact  

• Configure and execute test cases for system-level validation of all the vehicle domains 

• Set up, integrate, and commission ECUs, sensors, and actuators within the static bench environment 

• Develop, modify, and validate dynamic system models to support bench simulation activities 

• Collect and analyze test data, identify anomalies, and produce clear engineering reports with actionable findings 

• Troubleshoot hardware, software, and system configuration issues during test execution, with documented root cause analysis 

• Collaborate with cross-functional engineering teams and suppliers to define test strategies, align on system requirements, and drive corrective actions 

• Contribute to continuous improvement of the test process, proposing new tools or techniques to increase efficiency and coverage 

• Occasionally support XIL/HIL activities when project scope requires 

What are your core components  

• Hands-on experience with static EE bench testing (LabCar or equivalent environment) 

• Solid knowledge of Vector and ETAS toolchains (CANoe, CANalyzer, INCA or equivalent) for ECU testing and diagnostics 

• Understanding of automotive EE architectures and subsystems, including powertrain, HV battery systems, and charging 

• Experience with automotive test methodologies and V-cycle development processes 

• Familiarity with Agile/Scrum workflows and working in iterative, cross-functional delivery environments 

• Strong data analysis skills with the ability to communicate findings clearly to engineering stakeholders 

• Proactive mindset with ownership over test quality and drive for continuous improvement