Intern - F10 Process and Equipment Engineer

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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.
Location
F10 Singapore, 1 North Coast Drive
Department
Advanced Device Technology and Systems, Process and Equipment Engineering, Wet Process
Project Title
Wet Process Defectivity and Etch Rate Stability Improvement
Project Description
This internship project focuses on evaluating process conditions and equipment parameters to identify optimal solutions for reducing manufacturing defects, improving material etching uniformity, and enhancing process robustness within wet etch operations.
The project involves structured characterization studies to develop an understanding of process and equipment behavior and evaluate techniques for reducing defectivity and process variation. Through data analysis, guided experimentation, and AI-Enabled learning, the intern will develop foundational knowledge of wet processes, equipment architecture, and semiconductor manufacturing.
Objective of the Project

• Identify process and equipment factors that influence defectivity, etch rate uniformity, and process stability.
• Evaluate potential process and equipment improvements through structured characterization and data analysis.
• Develop recommendations that improve process robustness and minimize sources of variation.
• Explore the use of Artificial Intelligence and AI-Enabled tools to accelerate data interpretation and engineering learning.

Opportunities for Full Time Employment
High-performing interns who demonstrate strong technical capability, learning agility, and successful project outcomes may be considered for future internship or full-time employment opportunities, subject to business needs and hiring requirements.
Project Scope

• Study wet process principles, including chemical interactions with different film types and process conditions.
• Evaluate process recipe and equipment parameters to understand their influence on structural and performance outcomes.
• Analyze process data to identify defect trends, etch rate behavior, and sources of variation.
• Develop qualification plans, success criteria, and project timelines for selected process or equipment improvements.
• Participate in structured technical discussions to learn process characterization and experimental design methodologies.

Learning Opportunities

• Develop foundational knowledge of wet processes and equipment architecture.
• Gain exposure to process characterization, qualification, and engineering evaluation techniques.
• Apply statistical thinking and data-based decision-making to semiconductor process challenges.
• Strengthen cross-functional collaboration and technical communication skills.
• Explore AI Assistants and AI-Enabled workflows for data analysis, knowledge retrieval, and technical documentation.

Deliverables

• Technical summary of wet process fundamentals and equipment architecture.
• Documented evaluation results for selected defectivity and etch rate uniformity improvement approaches.
• Structured report outlining key findings, observations, and engineering recommendations.
• Final presentation summarizing project outcomes, learning, and potential impact.

Impact of the Project

• Improve understanding of the process and equipment factors affecting defectivity and etch rate stability.
• Identify data-driven opportunities to enhance etching uniformity and process robustness.
• Establish a structured methodology for evaluating process and equipment improvement opportunities.

Skillsets Required

• Curiosity and strong interest in semiconductor manufacturing and process engineering.
• Foundational engineering knowledge gained through academic coursework.
• Logical and analytical thinking, with the ability to interpret technical data.
• Strong learning agility and willingness to engage in structured project work.
• Familiarity with Artificial Intelligence tools, AI Assistants, or AI-Enabled workflows is advantageous.

Course of Interest
The ideal candidate should be pursuing a Degree in Chemical Engineering, Materials Engineering, Electrical Engineering, Electronic Engineering, Mechanical Engineering, Chemistry, or another related engineering discipline.
Duration of Period
The ideal candidate should be able to commit to a full-time internship period of 5 months from Jant o May or June 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 [email protected]
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.
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