Software Test Engineer

Key Responsibilities

• Derive and document functional and non-functional test specifications.
• Automate test scenarios using Python, Robot Framework, and AI-assisted coding tools.
• Perform End-to-End system validation across multiple ECUs and software subsystems.
• Analyze system traces, logs, and communication traffic to detect and diagnose issues.
• Incorporate AI-driven testing methodologies to optimize test generation, trace analysis, and anomaly detection.
• Ability to craft effective AI prompts for generating test scripts, documentation, and analysis reports.
• Use prompt-engineering techniques to interact with AI models for generating test artifacts, summaries, and reports.

Required Skills

Automotive & Platform-Testing

• Experience in the Automotive domain, especially in SDV / SW ECU Platforms
• Good understanding of automotive ECUs and features (Communication protocols, BSW, MCAL, Diag stack etc.)
• Strong expertise in Test Automation with Python and Robot Framework.
• Experience with Linux/Android/QNX systems, including file systems and network configuration.
• Knowledge of automotive communication protocols: CAN, FlexRay, Ethernet, SOME-IP and DOIP
• Able to generate Rest Bus Simulations from Network data / ARXML .
• Understanding of End-to-End Protection (E2E) profiles
• Experience with trace/log analysis (DLT, CAN, Ethernet) and tools like Vector CANoe, VehicleSpy, Wireshark.
• Experience in automotive diagnostics: OBD, UDS, DoIP; familiarity with tools such as CANoe.DiVa and CANape.
• Experience in network node simulation using CAPL (CANoe) or function blocks (VehicleSpy).
• Knowledge of automotive test processes and tools for Requirements Management (DOORS, CodeBeamer), Planning (ALM/Jira), and Version Control (Git/SVN).
• Experience in AI-driven testing methodologies to optimize test generation, trace analysis, and anomaly detection.

Good to Have (Optional)

• ISTQB Certification.
• Adaptive AUTOSAR experience.
• Experience in containerized environments (Docker, Conan).
• Workflow/CI creation in GitHub for continuous test automation.