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 manufacturing / 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, statistical analysis, knowledge of semiconductor devices, data visualization, silicon characterisation
Technologies
Python, machine learning frameworks, data visualization tools
Responsibilities
Analyse semiconductor test results and engineering datasets, 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, Document the approach, results and recommendations
Seniority
Intern, final-year engineering student
