We are looking for a Python and CAPL Automation Engineer –

• lignthing system
• washing system ( windshield wiper...)
• vision system (mirror...)
• access system and implement automated test solutions . The candidate will be responsible for understanding test cases and developing test scripts, and ensuring the efficiency of the system validation processes. This role involves working closely with system engineers, software developers, and validation teams to streamline testing and improve coverage.

• Develop and maintain Autoamtion testscript for Visibility system using python and CAPL.
• Automate test execution for HIL (Hardware-in-the-Loop) environments.
• Implement data-driven and keyword-driven automation techniques for scalable testing.
• Write Python scripts and CAPL script to automate test case execution.
• Work with simulation tools (CarMaker, PreScan, VTD, dSPACE) to validate  features in HIL.
• Perform real-time debugging and issue tracking for ADAS automation workflows.
• Work with CI/CD pipelines (Codebeamer,  GitLab CI) to integrate automated tests into the development cycle
• Improve test execution efficiency by optimizing Python scripts and CAPL scripts and automation workflows.
• Enhance system performance by reducing manual efforts through intelligent automation techniques.
• Contribute to test coverage expansion by automating edge-case scenarios

Bachelor's or Master's degree in Computer Science, Electrical Engineering, Automotive Engineering, or related fields

• Proficiency in GitLab, Python, and CAPL
• Experience with Codebeamer
• Knowledge of HLK and shared steps, as well as the ability to convert them into LLK

2 - 6 years of Python and CAPL based automation testing and validation in HIL