Intern - F10 Quality – Cell Wafer Level Reliability, Singapore

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Location: 1 N Coast Dr, Fab10N, Singapore Department: Quality Engineering Management (QEM) Project Title: AIEnabled System Intrinsic Reliability Prediction at Front-end Project Description: This project will focus on Cell Wafer Level Reliability (cWLR) in a semiconductor wafer fabrication environment, with an emphasis on fastturn intrinsic cell reliability evaluation for process conversion, device trim assessment, and Outgoing Quality Reliability Monitoring (OQRM). The project will involve translating systemlevel intrinsic reliability metrics into meaningful waferlevel proxy metrics, such as trigger rate and raw bit error rate (RBER), through test optimization. In addition, Machine Learning (ML) models will be applied to predict RBER across full baselines, enabling smart sampling, earlier visibility of intrinsic reliability performance at the High Volume Manufacturing (HVM) stage, and the development of a faster, scalable, and more effective intrinsic issue detection approach to safeguard production quality. Scope: In this project, the intern will Learn advanced NAND cell waferlevel reliability testing flows and methodologies Understand semiconductor reliability failure mechanisms and device physics Partner with crosssite and crossfunctional teams to develop and implement cWLR test programs aligned with shiftleft initiatives Support NAND product characterization, experimentation, and data analysis to develop cWLR solutions for product issues Apply Machine Learning techniques to model and predict NAND cell intrinsic reliability performance Analyze large datasets to enable smart sampling strategies and early intrinsic risk detection Deliverables: The intern will be able to: Understand NAND memory functions and operations Gain handson experience in probe testing and cWLR testing Develop a systemlevel intrinsic reliability RBER predictor using waferlevel data Contribute to datadriven reliability assessment methodologies used in HVM Impact of Project: Improved product quality control Skillsets Required: Problem solving, data analytics, Python Course of interests: Bachelor's/Master's Degree in Electrical/Electronic Engineering, Microelectronic would be preferred Duration Period: Minimum 5 months, creditbearing fulltime internship from July to November 2026.
About Micron Technology, Inc.
We are an industry leader in innovative memory and storage solutions transforming how the world uses information to enrich life
for all . With a relentless focus on our customers, technology leadership, and manufacturing and operational excellence, Micron delivers a rich portfolio of high-performance DRAM, NAND, and NOR memory and storage products through our Micron® and Crucial® brands. Every day, the innovations that our people create fuel the data economy, enabling advances in artificial intelligence and 5G applications that unleash opportunities — from the data center to the intelligent edge and across the client and mobile user experience.
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