~1d ago
New

Intern - Engineer HVM PEE PHOTO

SingaporeSingapore·Fab 10n/xentry
OtherEngineer
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Quick Summary

Overview

Our vision is to transform how the world uses information to enrich life for all.

Technical Tools
OtherEngineer

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.

  • Develop an understanding of the end-to-end Non-Zero-Offset workflow, including wafer selection, inline recipe criteria, metrology requirements, generation logic, and validation.

  • Analyze historical Non-Zero-Offset, inline, and metrology data to identify patterns, risks, and improvement opportunities.

  • Develop a Python-based analytical framework that improves the consistency and efficiency of Non-Zero-Offset analysis.

  • Evaluate statistical, machine-learning, or approved AI-Assisted methods for predicting Non-Zero-Offset behavior and potential risk conditions.
     

Requirements

~1 min read
  • Study the high-volume manufacturing photo-process flow and Non-Zero-Offset control methodology with relevant engineering subject matter experts.

  • Prepare and analyze historical Non-Zero-Offset, inline, recipe, and metrology datasets using Python-based data pipelines.

  • Develop and evaluate statistical or machine-learning approaches for identifying Non-Zero-Offset patterns, trigger conditions, and potential risk indicators.

  • Design and prototype an automated logic flow, visualization, or dashboard that improves Non-Zero-Offset review and engineering decision-making.

  • Gain practical exposure to photo-process engineering, overlay control, inline metrology, and semiconductor manufacturing data.

  • Learn Python-based data preparation, statistical analysis, modeling, visualization, and workflow-automation techniques.

  • Develop familiarity with machine learning and approved AI-Enabled tools for pattern identification, analytical interpretation, and technical documentation.

  • Collaborate with photo-process owners and engineering subject matter experts to validate analytical results and translate findings into improvement recommendations.
     

  • A cleaned, structured, and documented dataset containing relevant Non-Zero-Offset, inline, recipe, and metrology information.

  • Reusable Python scripts for data preparation, Non-Zero-Offset analysis, modeling, and visualization.

  • A validated statistical or machine-learning model for Non-Zero-Offset behavior, trigger conditions, or risk identification.

  • An automation prototype and final technical presentation covering the methodology, results, limitations, recommendations, and future scaling opportunities.

  • The internal internship guide identifies predictive models, drift-detection methods, visualization solutions, recommendations, and final reports or presentations as appropriate outputs for a comparable semiconductor analytics internship.
     

  • Reduce repetitive analytical steps within the selected Non-Zero-Offset workflow.

  • Improve consistency and visibility in Non-Zero-Offset generation, review, and validation.

  • Enable earlier identification of potential overlay-performance or yield-related risk conditions.

  • Demonstrate a scalable analytical and automation framework for high-volume manufacturing photo processes.
     

  • Proficiency in Python for data preparation, analysis, modeling, and visualization.

  • Basic knowledge of statistics, machine learning, or applied data analytics.

  • Strong analytical thinking, structured problem-solving, and ability to work with large datasets.

  • Effective technical communication skills and familiarity with approved AI tools or AI-Enabled analytical workflows.
     

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.

Location & Eligibility

Where is the job
Fab 10n/x, Singapore
On-site at the office
Who can apply
SG

Listing Details

First seen
October 1, 2026
Last seen
October 3, 2026

Posting Health

Days active
1
Repost count
0
Trust Level
51%
Scored at
October 3, 2026

Signal breakdown

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Intern - Engineer HVM PEE PHOTO