Sr. Test Automation Engineer (SIL/HIL Infrastructure)

Responsibilities

• Automation Framework Development: Design, build, and maintain scalable automated test frameworks and scripts for embedded automotive systems using Python and C/C++.
• HIL Bench Generation: Configure and build custom physical HIL test benches from the ground up, integrating real vehicle ECUs with simulated real-time environment models.
• Requirements Investigation: Analyze and interpret technical specifications to author comprehensive automated test suites, actively tracking down gaps in system requirements.
• Multi-Environment Execution: Execute automated test suites across SIL, MIL, and HIL setups.
• Analyze test captures, isolate low-level system failures, and generate detailed engineering reports.
• Protocol Verification: Validate automotive communication networks, network topologies, and diagnostic routing (e.g., CAN-FD, LIN, Automotive Ethernet, UDS, DoIP).
• CI/CD Integration: Integrate automated test loops directly into Git-driven CI/CD pipelines (such as GitLab CI or Jenkins) to support high-frequency regression farm execution.
• Cross-Functional Collaboration: Partner with Firmware, Systems Architecture, Quality, and TPM teams to define test specifications and maintain complete ASPICE-compliant requirement traceability.

Qualifications

• Education: Bachelor’s or Master’s degree in Electrical Engineering, Computer Engineering, Computer Science, or a related field.
• Experience: 5+ years (Senior) or 8+ years (Staff) of hands-on experience in test automation for high-integrity embedded systems.
• Programming Mastery: Expert-level proficiency in Python and Bash scripting, alongside a practical reading knowledge of C for code-level debugging.
• Automation Toolchains: Direct experience architecting or heavily extending modern pythonic test frameworks (such as Pytest or OpenHTF).
• Containers: Experience with Docker

Preferred Qualifications

• Linux Expertise: Advanced user-level comfort navigating, configuring, and scripting within GNU/Linux environments.
• Version Control: Advance user-level with Git and modern branch management strategies.
• Network & Diagnostic Diagnostics: Deep technical understanding of automotive network protocols (CAN, LIN, Ethernet