Intern - PIE RDA Technician

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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.

Department: Manufacturing Process Engineering and Smart Manufacturing & Artificial Intelligence

Project Title

Manufacturing Process Analytics and Equipment Shading Characterization Using Inspection Data

Project Description

This internship offers an opportunity to learn how data analytics is applied within a high‑volume semiconductor manufacturing environment. The intern will be exposed to process monitoring concepts and statistical analysis methods through the study of historical manufacturing and inspection datasets.

The primary project focuses on collaborating with the Smart Manufacturing & Artificial Intelligence team to investigate equipment hardware‑related shading phenomena observed in inspection data. The intern will analyze how shading patterns influence data quality and process control, and develop analytical insights to support long‑term manufacturing improvement initiatives.

Through this project, the intern will gain hands‑on experience in semiconductor manufacturing data, applied statistics, and cross‑functional collaboration between process engineering and advanced analytics teams.

Objective of the Project

Develop foundational understanding of semiconductor manufacturing process control and inspection data

Apply data analytics techniques to identify systematic patterns and variations in large datasets

Build analytical thinking and problem‑solving skills in a real manufacturing context

Project Scope

Study historical Statistical Process Control (SPC) data and inline defect datasets to understand process behavior

Analyze defect and inspection data to identify recurring patterns, anomalies, and correlations

Investigate and characterize equipment hardware‑related shading effects using inspection datasets

Perform data cleaning, feature extraction, and exploratory statistical analysis

Examine relationships between shading signatures, equipment conditions, process steps, and defect characteristics

Develop data visualizations or analytical methods to highlight shading trends and detection opportunities

Participate in technical discussions with process engineering and analytics stakeholders to translate findings into insights

Learning Opportunities

Exposure to semiconductor manufacturing operations and process control concepts

Practical experience in data analytics, statistical analysis, and visualization

Understanding how manufacturing challenges are approached using data‑driven methods

Experience working in a cross‑functional engineering and analytics environment

Project Deliverables

Process Analytics Summary

Key observations derived from SPC and defect data analysis

Analytical interpretation of observed process variations

Shading Characterization Report

Quantitative analysis of shading patterns and contributing factors

Correlation of shading effects with equipment and process variables

Data Visualization / Analytical Outputs

Charts, dashboards, or notebooks illustrating trends and shading signatures

Documentation of analytical approach and findings

Impact of Project

Improved understanding of inspection data quality challenges

Data‑driven insights to support future process control and monitoring strategies

Contribution to long‑term manufacturing analytics capability development

Skillsets Required

Basic understanding of data analysis and statistics

Familiarity with at least one of the following tools:

Python

SQL

Microsoft Excel

Strong analytical thinking and willingness to learn

Course of Interest

Electrical or Electronic Engineering

Mechanical Engineering

Materials Science

Semiconductor‑related disciplines

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.

To learn more, please visit micron.com/careers

To request assistance with the application process and/or for reasonable accommodations, please contact hrsupport_sg@micron.com

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