Automation & Analytics | AI/GenAI/LLM

• Strong experience in AUTOSAR BSW testing (with sensors camera, video, radar, ultrasonic), including MCAL, ECU Abstraction, OS, and Services layers.
• Hands-on testing of communication protocols – CAN, LIN, Ethernet, FlexRay, and diagnostics (UDS/DoIP).
• Expertise in test automation using Python, CAPL, and tools like CANoe/CANalyzer.
• Ability to design and implement scalable automation frameworks integrated with CI/CD (Jenkins, Git).
• Experience in data analytics for testing – defect trends, coverage analysis, and predictive insights.
• Proficiency in data tools such as Python (Pandas, NumPy), Power BI, or similar dashboards.
• Working knowledge of AI/GenAI/LLM applications in testing (test case generation, log analysis, defect prediction).
• Experience with prompt engineering / LLM-based automation accelerators is a strong advantage.
• Good understanding of ASPICE and ISO 26262 processes.
• Strong collaboration and leadership skills with ability to mentor teams technically & drive automation & AI adoption in Test.

B.E / B.Tech / ECE / EEE / CS

07 - 10 years