Intern - HIG HBM Product Engineering (Advance Data Analytics)

Location: Fab 10A, Singapore

Our vision is to transform how the world uses information to enrich life for all.

Join an inclusive team passionate about one thing: using their expertise in the relentless pursuit of innovation for customers and partners. The solutions we build help make everything from virtual reality experiences to breakthroughs in neural networks possible. We do it all while committing to integrity, sustainability, and giving back to our communities. Because doing so can fuel the very innovation we are pursuing.

Location

Singapore, F10A

Department

Heterogeneous Integration Group (HIG) – High Bandwidth Memory (HBM) Product Engineering

Project Title

Advanced Manufacturing Analytics for Early Deviation Detection

Project Description

This internship project provides an opportunity to develop advanced analytics solutions that improve visibility into manufacturing performance and process health for High Bandwidth Memory (HBM) products. The intern will work with large-scale engineering datasets to uncover patterns, identify emerging process deviations, and generate actionable insights that enhance product quality, reliability, and manufacturing outcomes.

The project combines data analytics, statistical modeling, machine learning, and AI-Enabled methodologies to detect abnormal trends at an earlier stage of the manufacturing lifecycle. Through this experience, the intern will gain exposure to semiconductor product engineering while applying modern data science and Agentic AI techniques to solve complex engineering challenges.

Objective of the Project

Develop analytical frameworks to identify abnormal manufacturing trends and process deviations in HBM products.

Enable earlier detection of yield, quality, reliability, and performance excursions through data-driven methodologies.

Apply statistical analysis, machine learning, and AI-Enabled workflows to improve manufacturing insight generation.

Enhance engineering decision-making by transforming complex manufacturing data into meaningful and actionable information.

Opportunities for Full Time Employment

This internship offers exposure to semiconductor product engineering, manufacturing analytics, and Artificial Intelligence-driven engineering solutions. High-performing interns may be considered for future full-time employment opportunities, subject to business needs and hiring requirements.

Project Scope

Analyze manufacturing, assembly, test, and characterization datasets to identify patterns and emerging process deviations.

Develop automated data pipelines and monitoring solutions for key manufacturing and product health indicators.

Apply statistical methods, machine learning models, and AI-Enabled analytics to detect anomalies and potential manufacturing risks.

Investigate relationships between process parameters and critical product metrics, including yield, quality, reliability, and performance.

Design interactive dashboards and visualization tools that provide engineering teams with actionable insights.

Learning Opportunities

Gain hands-on experience with large-scale semiconductor manufacturing and product engineering datasets.

Learn advanced data analytics, statistical modeling, and machine learning techniques in an engineering environment.

Explore Generative AI, AI Assistants, Agentic AI, and other AI-Enabled approaches for anomaly detection and root-cause investigation.

Develop skills in data visualization, dashboard development, and engineering communication.

Present technical findings and recommendations to engineering stakeholders while building industry-relevant analytical expertise.

Deliverables

A robust analytical solution that enables early identification of manufacturing deviations and emerging product risks.

Automated monitoring workflows and dashboards that improve visibility into manufacturing performance indicators.

Analytical models or methodologies that provide meaningful insight into yield, quality, reliability, or performance trends.

A final technical presentation summarizing findings, recommendations, and measurable project outcomes.

Impact of the Project

Improve the speed and effectiveness of deviation detection across HBM manufacturing processes.

Increase visibility into key drivers affecting product yield, quality, reliability, and performance.

Enable data-driven engineering decisions through advanced analytics and AI-Generated insights.

Contribute to improved manufacturing efficiency and product understanding through scalable analytical solutions.

Skillsets Required

Strong analytical thinking and problem-solving capabilities.

Knowledge of statistics, data analytics, engineering principles, or machine learning concepts.

Programming experience in Python, SQL, MATLAB, JMP, or similar analytical tools.

Familiarity with dashboarding, data visualization, or reporting platforms.

AI proficiency and familiarity with Artificial Intelligence tools, Generative AI, Agentic AI, or AI-Enabled workflows.

Strong communication, collaboration, and technical presentation skills.

Course of Interest

The ideal candidate should be pursuing a Bachelor's or Master's degree in Electrical Engineering, Electronic Engineering, Computer Science, Data Science, Semiconductor Engineering, Physics, or a related field.

Duration of Period

The ideal candidate should be able to commit to a full-time internship period of 6 months.

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