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Intern - PIE YE

Micron Technology
September 25, 2026
Full-time
On-site
Singapore, SG
Process Engineering Jobs, Level - Entry or Early Career

Job Title

Intern - PIE (Yield Enhancement)

Role Summary

This is a full-time engineering internship within Product Integration Engineering, Yield Enhancement at Micron's Fab 10N/X in Singapore. The intern will apply data analytics and introductory machine learning to semiconductor probe-test, electrical failure, and fabrication-process data to identify yield-improvement opportunities.

Experience Level

Entry-level internship (student intern). Intended for candidates with limited professional experience; suitable for current degree-seeking students.

Responsibilities

The intern will work under supervision to analyze manufacturing and test data and deliver a documented analysis and tools.

  • Study probe-test principles, selected electrical failure modes, and yield metrics.
  • Analyze relationships among electrical failures, probe-test results, fabrication-process metrics, and inline-monitoring data.
  • Apply multivariate data analysis and visualization to identify patterns and correlations.
  • Develop a Python-based analytical tool for the assigned yield-enhancement use case.
  • Explore approved AI/Generative AI workflows for data exploration and documentation.
  • Produce visualizations, a technical report, and a final presentation of methodology, results, limitations, and recommendations.

Requirements

Core skills and practical prerequisites for successful performance; items marked as "nice-to-have" are preferred but not required.

  • Must-have: Basic understanding of data analysis, statistics, or engineering problem-solving.
  • Must-have: Familiarity with Python programming and ability to work with data (analysis and visualization).
  • Must-have: Strong willingness to learn and communicate technical findings clearly.
  • Must-have: Availability to commit to a full-time internship of at least four months.
  • Nice-to-have: Familiarity with Machine Learning, Artificial Intelligence, Generative AI concepts, or relevant data-analytics libraries.
  • Nice-to-have: Experience with multivariate analysis, statistical methods, or manufacturing datasets.

Education Requirements

Pursuing a university degree in Electrical Engineering, Materials Science and Engineering, Data Science, Computer Engineering, or a related engineering or analytics discipline (student intern status expected).


About the Company

Company: Micron Technology

Headquarters: Boise, Idaho, USA

Micron Technology is a global leader in memory and storage solutions, dedicated to transforming how the world uses information. The company offers a diverse portfolio of high-performance DRAM, NAND, and NOR memory products under the Micron and Crucial brands. With a commitment to customer focus and technological innovation, Micron drives advancements in artificial intelligence, 5G, and other data-centric applications, empowering users to learn, communicate, and progress.

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Date Posted: 2026-09-22