Internship: AI Infrastructure Development for Automotive Sensor IC Design Verification

MASTER’S THESIS/INTERNSHIP IN ELECTRICAL ENGINEERING – 2027 Bevaix (NE) – 6 months Subject: AI Infrastructure Development for Automotive Sensor IC Design Verification Project Description As an intern at Melexis, you will evaluate and build AI infrastructure utilizing Claude to streamline and enhance the mixed-signal design verification and system integration flow for automotive sensor IC product development.

More specifically, you will: Design, configure, and optimize Claude Code workflows and custom markdown files to automate and adapt AI agents to engineering tasks. Exploit Claude for comprehensive test case development, task scheduling, sophisticated analysis, debugging, and automated reporting. Implement and assess Claude's capability to automatically triage, classify, and root-cause simulation and verification failures to reduce manual debugging.

Integrate AI-driven tools directly into the development flow to accelerate verification. Optionally, conduct a benchmark analysis comparing other tool platforms, such as Chipstack, against Claude to determine the most effective AI-driven methodologies.