Intern - F10 PEE CVD/PVD

Overview

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.

Location

Fab10 N Singapore

Department

Advanced Technology Singapore – Process and Equipment Engineering (PEE)

Project Title

Data‑Driven Process and Equipment Optimization in Semiconductor Manufacturing

Project Description

This internship provides exposure to data‑driven engineering initiatives within high‑volume semiconductor manufacturing. The project focuses on applying data analytics and engineering methodologies to study process stability, equipment performance, and manufacturing efficiency. Through analysis of large datasets generated from manufacturing tools, the intern will gain insight into real‑world semiconductor manufacturing challenges and improvement opportunities.

Objective of the Project

The objective is to apply data analytics techniques to identify trends, variability, and performance gaps in process and equipment data, and to generate insights that contribute to improved manufacturing performance.

Opportunities for Full‑Time Employment

Interns who demonstrate strong technical capability, learning agility, and alignment with organizational needs may be considered for future full‑time employment opportunities, subject to business requirements and performance.

Project Scope

• Analyze process and equipment data to identify trends, variability, and performance gaps
• Perform structured analysis to understand potential contributors to process or equipment deviations
• Work with cross‑functional engineering teams to understand manufacturing workflows and data context
• Propose and validate improvement opportunities based on data insights

Learning Opportunities

• Exposure to semiconductor manufacturing processes and equipment engineering concepts
• Application of data analytics to real manufacturing datasets
• Development of structured problem‑solving, analytical thinking, and technical communication skills

Deliverables

• Data analysis reports with clear insights and improvement recommendations
• Final project presentation to engineering stakeholders summarizing findings and outcomes

Impact of Project

The project contributes to improved process stability and yield performance, supporting overall manufacturing quality and efficiency.

Required Skillsets

• Strong analytical and problem‑solving skills
• Basic understanding of data analysis tools such as Excel, Python, or similar platforms
• Good communication and presentation skills

Course of Interests

Chemical Engineering, Materials Science, Mechanical Engineering

Duration

Minimum 6 months (Semester Internship from July 2026 to December 2026)

About Micron Technology, Inc.

We are an industry leader in innovative memory and storage solutions transforming how the world uses information. With a relentless focus on our customers, technology leadership, and manufacturing and operational excellence, Micron delivers high‑performance DRAM, NAND, and NOR memory and storage products. The innovations our people create fuel the data economy, enabling advances in artificial intelligence and 5G applications across data centers, intelligent edge, and client/mobile experiences.

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 and standards.

Micron does not charge candidates any recruitment fees or unlawfully collect any payment from candidates.

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.

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