Description

You will own the testing automation and analytics strategy for embedded automotive systems, integrating AI-driven insights into the CI/CD pipeline.

This role is on-site.

Responsibilities

• Perform comprehensive AUTOSAR BSW testing across MCAL, ECU Abstraction, OS, and Services layers.
• Design and implement scalable automation frameworks integrated with CI/CD pipelines using Jenkins and Git.
• Conduct hands-on testing of communication protocols including CAN, LIN, Ethernet, FlexRay, and diagnostics.
• Analyze testing data to identify defect trends, coverage gaps, and generate predictive insights for quality improvement.
• Apply AI/GenAI/LLM applications in testing processes, specifically for test case generation, log analysis, and defect prediction.

Required Skills

• 7+ years of experience in embedded software testing and automation.
• Proficiency in AUTOSAR BSW, Python, CAPL, CANoe, and CANalyzer.
• Strong knowledge of CAN, LIN, Ethernet, and FlexRay protocols.
• Experience with Jenkins for CI/CD pipeline integration and Git for version control.
• Hands-on experience with AI/GenAI/LLM tools for test automation accelerators and prompt engineering.

Preferred Skills

• Experience with data analysis tools such as Pandas, NumPy, and Power BI.
• Knowledge of UDS/DoIP diagnostics and sensors (camera, video, radar, ultrasonic).
• Understanding of ASPICE and ISO 26262 processes.

Key Skills

Education

Any Graduate