Intern - PEE

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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: F10N
Department: DIFFUSION/IMPLANT PROCESS and EQUIPMENT ENGINEERING
Project Title: Diffusion Furnace Batch Load Size Increase Qualification To Achieve Max Out Impact
Project Description:
This project focuses on qualifying and expanding the volume of batches processed in a diffusion furnace. It also ensures no negative impact on product quality, wafer yield, or manufacturing line performance. The work will support the department’s objective to maximize manufacturing output through process optimization.
The project will involve understanding process gas flow behavior within the diffusion furnace, including how different gas injectors influence gas distribution and uniformity. In addition, the project will study how temperature modulation across multiple furnace heating zones affects film deposition uniformity along the furnace boat. Findings from this study will be used to define and validate operating conditions that enable higher batch loading while maintaining process robustness.
The objective of the project is to increase diffusion furnace batch capacity by optimizing gas flow and temperature profiles. It must not affect wafer quality, yield, or manufacturing line metrics. The goal is to reach the maximum output target.
Project Scope:
- Analyze gas flow and temperature behavior in diffusion furnaces and their impact on film deposition and wafer performance
- Correlate process conditions with film uniformity and support qualification of increased batch load size in high‑volume manufacturing
- Collaborate with process, equipment, and manufacturing teams on data analysis, optimization, and production implementation
Deliverables:
- Process characterization, analysis results, and recommended conditions for increased batch load size
- Final technical report and presentation
Impact of Project: Improved diffusion furnace productivity and manufacturing capacity, enabling higher output without compromising wafer quality, yield, or manufacturing line performance.
Skillset Require: General problem solving, data analysis, basic understanding of chemical or materials engineering principles, ability to work with manufacturing data, and clear technical communication skills.
Course of interests: Chemical Engineering, Materials Science and Engineering or related engineering fields.
Duration Period: min 5 months (Full semester internship)
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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