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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

1 North Coast Drive, Singapore

Department

Photolithography Engineering

Project Title

Automated Process Monitoring and Data Visualisation for Manufacturing Excellence
 

Project Description

This internship project focuses on developing data-driven visibility into manufacturing processes through automated monitoring and visualisation. The student will gain hands-on exposure to how manufacturing data is collected, structured, and analysed to highlight process behaviour and opportunities for improvement.
Through guided learning and mentorship, the project enables the student to explore how dashboards and analytical models can be used to simplify complex process data and translate insights into meaningful engineering understanding.
 

Objective of the Project

The objective of this project is to equip the student with foundational knowledge in manufacturing data analytics by exposing them to automated monitoring systems, data visualisation, and analytical modelling within a wafer fabrication environment.
 

Opportunities to be Offered for Full-Time Employment

Students who demonstrate strong technical learning capability, analytical thinking, and professional growth during the internship may be considered for future full-time opportunities, subject to business needs and individual performance.
 

Project Scope

During the internship, the student will receive structured exposure to the photolithography process and advanced lithography tools used in a wafer fabrication plant. Under the guidance of a senior engineer, the learning scope includes:

• Exposure to automated data monitoring concepts for key manufacturing metrics
• Learning how software-based solutions are designed to collect and structure process data
• Development of dashboards and visualisation tools to highlight trends and anomalies in manufacturing data
• Introduction to analytical models that identify correlations and trends relevant to process optimisation
• Participation in cross-functional learning discussions with engineering, information systems, and data science teams to understand how monitoring systems are developed and sustained
   

Learning Opportunities

Through this project, the student will have opportunities to:

• Understand photolithography process fundamentals within a fabrication environment
• Learn how manufacturing data is transformed into actionable insights through dashboards
• Develop basic knowledge of data modelling and trend analysis for process improvement
• Strengthen collaboration, analytical reasoning, and technical communication skills
   

Deliverables

• A functional dashboard that visualises and analyses key process metrics in real-time or near real-time
• Project documentation that explains system logic, data flow, and dashboard usage
• A technical presentation summarising project progress, findings, and key insights derived from data analysis
   

Impact of Project

The project enhances visibility of process behaviour through structured data monitoring and visualisation, while enabling the student to build practical analytics experience relevant to manufacturing and engineering environments.
 

Skillsets Required

• Currently pursuing a Bachelor’s degree in Engineering
• Demonstrated interest or foundation in coding and data-related problem-solving
• Willingness to learn software-based analytical and visualisation tools
• Strong curiosity and structured thinking
   

Course of Interest

• Engineering (all relevant disciplines)
   

Duration Period

• Minimum 3 months (Preferred period: May- August 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.

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.