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Intern - Operations Improvement Engineer Posted ago

Job in Singapore, Singapore
Listing for: Micron Technology, Inc
Part Time, Apprenticeship/Internship position
Listed on 2026-06-20
Job specializations:
  • Engineering
    Manufacturing Engineer, Quality Engineering, Lean Manufacturing / Six Sigma
  • Manufacturing / Production
    Manufacturing Engineer, Quality Engineering, Lean Manufacturing / Six Sigma
Salary/Wage Range or Industry Benchmark: 20000 - 60000 SGD Yearly SGD 20000.00 60000.00 YEAR
Job Description & How to Apply Below
Position: Intern - Operations Improvement Engineer  Posted 6 hours ago
## Intern - Operations Improvement Engineer Singapore, Singapore Apply Now Find out how well you match with this jobJob IDJR
102540
** 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.
** Job Summary
** This internship provides a structured learning opportunity to understand how manufacturing performance is analysed and enhanced across wafer fabrication, assembly, and test operations.

Through project-based work, the intern will explore industrial engineering concepts and data-driven approaches used to evaluate manufacturing performance indicators such as output, cycle time, cost, and efficiency. The role emphasises learning how improvement opportunities are identified and assessed within a semiconductor manufacturing environment.
** Project Description
** This project will focus on analysing manufacturing data and operational workflows to identify areas for potential improvement in production efficiency and consistency.

The intern will also study manufacturing processes across wafer fabrication, assembly, and test operations, and explore data-driven methods to evaluate performance trends. The project includes learning how industrial engineering principles and digital tools are applied to enhance operational effectiveness and support continuous improvement initiatives.
** Objective of the Project
** To develop an understanding of manufacturing performance metrics and apply structured analysis methods to identify improvement opportunities in efficiency, cycle time, and output.
** Project Scope
*** Study manufacturing workflows and key performance indicators across production environments
* Analyse datasets related to output, cycle time, and operational efficiency
* Explore industrial engineering concepts such as line balancing, production flow, and scheduling principles
* Apply basic data analysis techniques to identify trends, variations, and potential improvement areas
* Observe how automation and digital solutions are applied to enhance manufacturing processes
* Document analytical approach, observations, and insights
** Learning Opportunities
*** Gain exposure to semiconductor manufacturing operations across wafer fabrication, assembly, and test
* Develop understanding of industrial engineering principles in a manufacturing environment
* Learn how data is used to evaluate and improve operational performance
* Explore concepts related to factory automation and digital transformation
* Build analytical, problem-solving, and communication skills through structured project work
** Deliverable
* ** Analysis report summarising key observations and identified improvement opportunities
* Data visualisations supporting performance insights
* Documentation of methodology and analytical approach
* Final presentation outlining project learnings and conclusions
** Impact of Project
*** Improved understanding of manufacturing performance evaluation and optimisation concepts
* Contribution to structured approaches in analysing operational efficiency
* Development of foundational knowledge in data-driven manufacturing improvement
** Skillsets Required
*** Strong analytical thinking and problem-solving skills
* Basic understanding of data analysis concepts
* Ability to organise and interpret data
* Good communication and teamwork skills
** Course of Interests
** The ideal candidate should be currently pursuing a degree in Industrial Engineering, Electrical and Electronics Engineering, Mechanical Engineering, Chemical Engineering, Materials Science, Computer Engineering, Data Science, or a related field.
** Duration Period
** Minimum 3 – 6 months
** About Micron Technology, Inc.
** We are an industry leader in innovative memory and storage solutions transforming how the world uses information to…
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