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Internship Project Outline Template

Project Title

Module Site TE CATALYST Project

Description

This project will establish a systematic and repeatable method to collect, validate, review, and report data during new Module Test tester setup and qualification. The intern will work with the Test Engineering team to convert fragmented setup records into a controlled data package with clear ownership, review gates, and approval evidence. An AI-assisted review concept will be piloted to identify missing data, unusual trends, and potential setup or qualification concerns for engineer verification. Final tool release decisions will remain with the responsible engineers.

The CATALYST Project need requalification process for SMT6 tester which needs relocation. Additional support is required to drive project completion, ensure compliance with operational requirements, and facilitate successful adoption by Site TEs across all qualification scenarios.

The ideal candidate should be pursuing or have obtained a Bachelor's degree in Electronics Engineering or Mechanical Engineering, with an interest in manufacturing, testing, and equipment qualification processes.

The ideal candidate should be pursuing or have obtained a Bachelor's degree student in Electronics, Electrical, Mechatronics, Mechanical, Computer, Data Science, or Artificial Intelligence Engineering, with an interest in semiconductor manufacturing, equipment qualification, data analysis, and structured problem solving. The candidate should have basic skills in Excel; exposure to Python, SQL, Power BI, statistics, or machine learning is an advantage.

Scope

SMT6 Tester Qual (SOAK)

Supporting Team

Module Site TE (Jayanthan, Thina)

Deliverables

Define the required setup and qualification dataset for newly installed or transferred Module Test testers.
Capture tester configuration, hardware and software baseline, calibration status, correlation results, product qualification results, yield, retest, test time, failure signatures, and issue closure evidence.
Develop a structured review flow covering data readiness, engineering review, action tracking, final decision, and document retention.
Pilot AI-assisted checks to flag incomplete fields, inconsistent entries, outliers, drift patterns, and recurring failure signatures for follow-up.
Create a standard reporting view for daily review and final qualification summary.

Stretch Goal

Standard new tester setup data template and naming convention.
Qualification readiness and review checklist with owners and status.
Automated dashboard for data completeness, key metrics, actions, and release status.
AI-assisted anomaly and missing-data review prototype with engineer validation.
Final qualification summary template and reusable setup playbook.

Requirement

Bachelor Degree in Electronics Engineering
Bachelor Degree in Artificial Intelligence Engineering/Mechanical 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 [HIDDEN TEXT]

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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