Back
Mid-level metro role with strong brand but niche automotive specialization reduces applicant density.
Specialized automotive ECU, CAN/SOME-IP, AUTOSAR and Vector tool expertise limits cross-industry transferability.
Multiple mandatory automotive protocols, Vector tools, and explicit experience make filters highly stringent.
Login to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Own derivation and documentation of functional and non-functional test specifications for automotive ECU platforms.
Develop and automate end-to-end test suites using Python, Robot Framework, and AI-assisted tools for system validation across multiple ECUs and software subsystems.
Analyze system traces, logs, and communication data to detect and diagnose issues using AI-driven testing methodologies and prompt-engineering techniques.
3 to 7 years of experience in automotive domain, specifically with Software Defined Vehicles (SDV) or software ECU platforms.
Strong expertise in test automation using Python and Robot Framework.
Experience with automotive communication protocols (CAN, FlexRay, Ethernet, SOME-IP, DOIP) and tools such as Vector CANoe, VehicleSpy, Wireshark.
Knowledge of Linux/Android/QNX systems, end-to-end system validation, automotive diagnostics (OBD, UDS, DoIP), and use of AI-driven testing methodologies.
Experienced in multi-cultural engineering environments collaborating across distributed teams.
Technically proficient in automotive embedded systems testing with a focus on AI-powered automation and analysis workflows.
Familiar with automotive domain standards, testing tools, and able to innovate test automation using AI prompt engineering.