Intern - NAND Probe Product Engineering

About the role

Micron is looking for an intern in its NAND Probe Product Engineering team in Singapore to carry out an engineering project on wafer probe testing, silicon characterization, yield analysis and test optimization. The project is supervised by experienced Product Engineers and exposes the intern to advanced NAND semiconductor technologies, wafer-level testing, statistical data analysis, yield improvement methodologies and AI-enabled engineering workflows. The intern works with cross-functional teams such as Design, Design for Test, Design Validation, Process Integration, Backend Test, Reliability and Manufacturing Engineering.

Key responsibilities

• Study wafer probe test flows, test coverage principles, screening methodologies and product performance indicators.
• Analyze probe, wafer-level and device-level datasets to find yield trends, anomalies and potential failure signatures.
• Take part in technical reviews of test structures, product observability features, electrical trims and excess schemes.
• Evaluate ways to improve test coverage, test time, data quality and test efficiency.
• Develop an AI-enabled analytical or automation solution for yield analysis, anomaly detection, data visualization or workflow improvement.
• Deliver a documented analysis of probe test data, yield trends and silicon behavior, dashboards, a prototype or methodology, technical recommendations, and a final report and presentation.

Required profile

• Pursuing a Bachelor's, Master's or PhD in Electrical Engineering, Electronics Engineering, Computer Engineering, Semiconductor Physics, Data Science or a related field.
• Coursework or projects in semiconductor devices, VLSI design, digital design, data analytics, machine learning, IC testing or hardware labs are an advantage.
• Ability to commit to a full-time 5-month internship from January to May 2027.

Required skills

• Basic knowledge of semiconductor devices, digital logic, electronics and IC testing.
• Familiarity with Python, SQL, MATLAB or similar tools, and with statistical analysis, data visualization, machine learning or AI workflows.
• Willingness to use Generative AI responsibly for data exploration, coding, documentation and automation.

Successful interns may be considered for future internship or full-time positions depending on needs, availability, academic completion and demonstrated capabilities.