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Tier-1 brand, metro Bengaluru, popular test-automation title, and mid-level experience band raise competition.
Deep automotive ECU, CAN/FlexRay, AUTOSAR and diagnostics expertise required, limiting cross-industry transferability.
Numerous mandatory automotive protocols, tools, AI-testing skills and explicit years make shortlisting highly strict.
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Derive and document functional and non-functional test specifications for automotive software platforms.
Develop and automate test scenarios using Python, Robot Framework, and AI-assisted tools for End-to-End validation across multiple ECUs and subsystems.
Analyze system traces, logs, and network communication to detect and diagnose issues using automotive tools and AI-driven methodologies.
3 to 9 years of experience in Automotive domain platform testing, especially Software Defined Vehicles and ECU platforms.
Proficiency in test automation using Python and Robot Framework.
Knowledge of automotive communication protocols: CAN, FlexRay, Ethernet, SOME-IP, DOIP; and diagnostic protocols: OBD, UDS, DoIP.
Experience with automotive tools (Vector CANoe, VehicleSpy, Wireshark, CANoe.DiVa, CANape), Linux/Android/QNX systems, and AI-driven testing approaches.
Experienced in cross-cultural and distributed team environments involving India and Europe.
Familiar with automotive network simulation and trace analysis, using tools like CAPL and Vector CANoe.
Capable of leveraging AI techniques including prompt engineering to enhance test script generation and test efficiency.