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Project Description:

Objective of the Project:

This project focuses on applying photolithography fundamentals, data science, statistics, and machine learning to enable breakthroughs in advanced semiconductor process development. The intern will work on analytical projects involving large‑scale data correlation, recipe accuracy enhancement, and multi‑level characterization studies. The work emphasizes modeling, simulation, and predictive analytics without requiring direct wafer processing.

Opportunities to be Offered for Full-Time Employment:

Outstanding performance during the internship may lead to consideration for future full‑time opportunities within Technology Development or related engineering groups.

Project Scope:

Learning Opportunities:

• Gain deep exposure to photolithography concepts including immersion optics, polarized illumination, low‑k₁ imaging, and material behavior.
• Learn how lithography chemical processes and materials differ across 365 nm, 248 nm, and 193 nm technologies.
• Explore lithography simulation tools and understand how modeling is applied to low‑k₁ regimes.
• Work with large semiconductor datasets to identify trends, correlations, and process sensitivities.
• Apply statistical analysis, SPC concepts, and Six Sigma methodologies to evaluate process performance.
• Develop predictive models using machine learning or advanced analytics frameworks.
• Sharpen communication skills through documentation, presentations, and technical discussions with engineers.
• Gain experience transforming data insights into process improvement recommendations.

Deliverable:

Impact of Project:

• Creation of validated analytical models or predictive tools that improve process accuracy and characterization.
• Generation of meaningful insights from photolithography datasets that drive technology decisions.
• Delivery of clear reports, visualizations, and presentations summarizing findings for engineering and management teams.
• Contribution to the development of enhanced data‑driven methodologies for future lithography nodes.

Skillset Required:

• Understanding of optical principles such as immersion lithography, polarized illumination, and low‑k₁ imaging.
• Familiarity with lithography chemicals and materials across 365/248/193 nm exposure technologies.
• Experience using lithography simulation tools for low‑k₁ applications.
• Knowledge of material properties and characterization relevant to lithography.
• Strong foundation in statistics, probability, and data analysis (Cpk, distributions, hypothesis testing).
• Familiarity with machine learning or data science tools (Python, R, or similar).
• Understanding of SPC and Six Sigma methodologies.
• Ability to interpret complex datasets and communicate insights clearly.

Course of Interests:

Engineering (Electrical, Mechanical, Chemical), Data Science, Statistics, Physics, Semiconductor Engineering

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_sgmicron.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.

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