Intern: AI for Silicon Test Data Analytics & Failure Analysis

Nice to Have

• Engineering or scientific background in electronics, microelectronics, computer science, data science or a related field.
• Basic Python programming skills.
• Interest in Artificial Intelligence, machine learning and data analytics.
• Comfortable working with numerical data.
• Analytical mindset and strong problem-solving skills.
• Curiosity and willingness to learn about semiconductor testing.
• Nice to Have Experience with Python data-analysis libraries.
• Exposure to machine learning or statistical analysis.
• Knowledge of semiconductor devices, digital electronics or memories.
• Experience with data visualisation.
• Interest in silicon characterisation, validation or production testing.
• What Matters Most We are looking for curiosity and the ability to connect data with engineering problems.
• You do not need to arrive with deep knowledge of semiconductor testing.
• You will learn the test context while applying your software, data-analysis and AI skills to real engineering challenges.
• This internship provides an opportunity to work at the intersection of semiconductor testing, data analytics and Artificial Intelligence, helping explore new ways of turning large volumes of silicon test data into useful engineering insights.
• We’re doing work that matters.
• Help us solve what others can’t.