System Engineer

Overview

Role Overview. System engineering the infotainment system. Develop reliable software scripts in Python. Responsible for end-to-end verification and validation of diagnostic systems, service tool workflows, and post-production vehicle functionalities. Ensure the quality, robustness, and accuracy of service-related software, diagnostic routines, and repair procedures used across dealer networks. Collaborate with engineering, service operations, and diagnostic tool teams to ensure readiness of aftersales systems for market deployment.

Responsibilities

• Develop comprehensive V&V plans for aftersales diagnostics, service tool applications, dealer workflows, and guided repair procedures.




• Execute manual and automated test cases on bench, HIL, and vehicle environments for aftersales-related features.




• Validate ECU flashing workflows, DTC generation, service mode behaviors, fault trees, and guided troubleshooting flows.




• Perform diagnostics validation including UDS services, communication integrity (CAN/LIN/Ethernet), and error handling.




• Reproduce field issues reported by dealers; capture logs, analyze root causes, and validate fixes.




• Work closely with service engineering to validate repair instructions, service bulletins, and technical documentation.




• Generate detailed test reports, evidence packs, traceability matrices, and contribute to readiness assessments.




• Support market readiness reviews, dealer pilot programs, and software release sign-off processes.

Required Skills & Qualifications

• 5+ years of V&V experience in automotive diagnostics, aftersales systems, or ECU testing.




• Hands-on experience with diagnostic protocols (UDS, OBD-II), DTC validation, flashing tools, and service workflows.




• Experience using CAN tools (CANoe, CANalyzer), log analysis, and ECU communication debugging.




• Strong understanding of vehicle electrical architecture and aftersales service processes.




• Bachelor’s degree in Electrical Engineering, Electronics, Computer Science, or related field.

Preferred Skills

• Experience with OEM diagnostic platforms (e.g., ODIS, Techline, GDS, Pathfinder, ISTA).




• Knowledge of aftersales data systems, repair manuals, and technical publication workflows.




• Exposure to scripting (Python, CAPL) for automation of diagnostic test flows.




• Familiarity with ISO 14229, ISO 15765, and service documentation standards.

Tools Required

• Vector CANoe/CANalyzer, DTC/UDS test tools, Wireshark.




• OEM diagnostic tools, flashing/configuration tools.




• JIRA/ADO for defect management, Confluence/SharePoint for documentation.




• MS Excel, PowerPoint for reporting and evidence packaging.

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