Intern: AI for Silicon Test Data Analytics & Failure Analysis
Core
Apply AI, machine learning, and data analytics to semiconductor test data to identify failure patterns, anomalies, and root causes for engineers.
Role type
Intern, AI/ML data analyst for semiconductor testing
Builds
Automated data-analysis workflows, visualizations, and engineering summaries for silicon test results
Domain
Semiconductor testing / Electronic design automation
Deliverable
production ML models
Required skills
Python programming, data analysis, machine learning, clustering, classification, data visualization
Preferred skills
Python data-analysis libraries, machine learning, statistical analysis, semiconductor device knowledge, data visualization
Technologies
Python, AI, machine learning
Responsibilities
Analyse semiconductor test results and engineering datasets; Explore AI/ML techniques for pattern identification; Develop Python tools to automate test data processing; Investigate clustering and classification approaches for silicon failures; Develop visualisations and summaries of complex engineering results; Collaborate with test engineers to evaluate solutions on real use cases
Seniority
Intern, final-year engineering student
