Intern - Technician- PEE Post Elect Process Engineering

MSB, SingaporeIntern

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.

Department:
Post Electrical Process Engineering

Project Title:

Machine Drift Detection Using Advanced Data Analytics and Machine Learning

Project Description:

Semiconductor manufacturing processes generate large volumes of machine and inspection data that can be leveraged to improve product quality and process stability. This project focuses on the development of advanced data analytics and machine learning approaches to identify early signals of machine-related quality variations.

The objective of this project is to design and develop an end-to-end analytics solution using machine and measurement data, covering data extraction, preprocessing, modeling, and result visualization to enable earlier detection of potential quality issues.

Objective of the Project:

Develop understanding of machine data structures and quality-related signals in semiconductor manufacturing
Apply data analytics and machine learning techniques to identify patterns associated with process variation
Gain exposure to end-to-end solution development, from data processing to visualization

Project Scope:

Design and implement data processing workflows for machine log, inspection, and measurement datasets
Develop machine learning models for feature selection, pattern recognition, and drift detection
Evaluate modeling approaches to identify early indicators of potential quality variation
Analyze relationships across multiple variables to understand process behavior and optimization opportunities
Develop visualization of analytical results to facilitate interpretation and insights
Document data workflows, model design, and analytical findings for knowledge transfer

Learning Opportunities:

Exposure to industrial data analytics and machine learning applications
Experience in handling large-scale manufacturing datasets
Understanding of modeling, simulation, and optimization techniques
Opportunity to work on real-world engineering problems and translate data insights into meaningful outputs
Interaction with engineering subject matter experts to understand process and data context

Deliverables:

Data processing and analytics workflow for machine and inspection datasets
Machine learning model for drift detection and pattern identification
Analytical outputs and visualization of model results
Documentation of methodology, model development, and key findings

Impact of Project:

This project contributes to improved detection of process variation signals and enables data-driven insights for enhancing product quality and process stability.

Skillsets Required:

Basic knowledge of programming (Python or equivalent)
Understanding of data analytics and machine learning concepts
Analytical thinking and problem-solving skills
Familiarity with data processing and statistical analysis is advantageous

Course of Interest:

Computer Science
Data Science / Data Engineering
Engineering (Electrical, Mechanical, Industrial, or related fields)
Statistics or Applied Mathematics

Duration Period:

Minimum 5 months (Semester Internship from September 2026 to February 2027)

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

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status.

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

Micron Prohibits the use of child labor and complies with all applicable laws, rules, regulations, and other international and industry labor standards.

Micron does not charge candidates any recruitment fees or unlawfully collect any other payment from candidates as consideration for their employment with Micron.

AI alert: Candidates are encouraged to use AI tools to enhance their resume and/or application materials. However, all information provided must be accurate and reflect the candidate's true skills and experiences. Misuse of AI to fabricate or misrepresent qualifications will result in immediate disqualification.

Fraud alert: Micron advises job seekers to be cautious of unsolicited job offers and to verify the authenticity of any communication claiming to be from Micron by checking the official Micron careers website in the About Micron Technology, Inc.

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