Live opening · Posted 11 days ago
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About the role
Description supplied by the original job listing.
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.
Experience
3-7 yrs
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