- Develop and maintain CAPL scripts for automotive AUTOSAR based ECU Ethernet testing and automation.

- Work extensively with Vector CANoe for simulation, analysis, and test execution.

- Implement Python scripts (procedural and object-oriented) for automation and tool development.

- Analyze CANoe traces, perform defect analysis, and provide quick resolutions.

- Understand and work with ECU Extract files for both Classic and Adaptive AUTOSAR ECUs.

- Interpret and manage ARXML files for configuration and integration.

- Collaborate on DevOps processes : Jira and Git (mandatory), and set up CI/CD pipelines in Jenkins and GitLab CI.

- Debug and fix development issues in CAPL scripts efficiently.

- Train team members on new technologies and propose improvements in tools and processes.

Required Skills :

- Strong experience in CAPL scripting and Vector CANoe.

- Proficiency in CAPL (procedural and object-oriented).

- Good knowledge of communication protocols : Ethernet is must and CAN, CAN FD, FlexRay, are nice to have.

- Ability to understand ECU Extract files and ARXML.

- Excellent knowledge of Data Structures and Algorithms.

- Hands-on experience with DevOps tools (Jira, Git, Jenkins, GitLab CI).

- Strong debugging, testing, and defect analysis skills.

- Ability to train and mentor team members on cutting-edge technologies.