About the role
Responsibilities:
- 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-orientated) 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.
Requirements:
- Strong experience in CAPL scripting and Vector CANoe.
- Proficiency in CAPL (procedural and object-orientated).
- Good knowledge of communication protocols: Ethernet is a must, and CAN, CAN FD, and 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.