Advanced Engineering & Manufacturing Internship (Singapore)

Micron; Singapore; On-site; SGD 17,000 - 28,000; Full time

Job summary

Micron Singapore offers an internship across multiple engineering functions, enabling interns to contribute to meaningful projects that improve manufacturing processes, equipment performance, and product quality. Interns will be matched to opportunities based on technical background, interests, and business needs.

Project work may involve AI-enabled tools, automation solutions, or advanced analytics to enhance engineering workflows and decision-making.

Qualifications

• Strong analytical and problem-solving skills.
• Strong communication and presentation skills.
• Ability to work independently and collaboratively in cross-functional teams.
• Familiarity with Excel, JMP, Minitab, Python, SQL, Power BI, or similar analytical tools is advantageous.
• Familiarity with AI, Generative AI, automation tools, or AI-enabled workflows is advantageous.

Responsibilities

• Analyse engineering and manufacturing data to identify opportunities for process, quality, yield, or equipment performance improvements.
• Support engineering investigations, root cause analyses, and continuous improvement initiatives.
• Develop data-driven recommendations to enhance operational efficiency and manufacturing performance.
• Work with cross-functional teams to evaluate and implement engineering solutions.

Skills

Analytical skills

Problem-solving

Communication skills

Cross-functional teamwork

Excel

Python

SQL

Power BI

AI familiarity

Education

Engineering student

Tools

Excel

JMP

Minitab

Python

SQL

Power BI

Job description

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.

Location

Micron Singapore Sites

Interns may be assigned to projects located at:

• Fab10, Woodlands
• Micron Semiconductor Asia Operations (MSB), Bendemeer

Project allocation will be determined based on business needs, technical fit, and project availability.

Department

Engineering (Multiple Functions)

Project Title

Interns will have the opportunity to contribute to meaningful projects across multiple functions and organisations , with project assignments aligned to business priorities and individual strengths.

Project Description

This internship supports engineering teams across Micron Singapore in improving manufacturing processes, equipment performance, yield, quality, reliability, and operational efficiency. Successful candidates may be assigned to projects within Process Engineering, Equipment Engineering, Manufacturing Engineering, Yield Engineering, Process Integration, Quality Engineering, Industrial Engineering, or related engineering functions.

As multiple projects are available across different functions and organisations , shortlisted candidates will be introduced to the relevant project opportunities during the interview process and matched based on their technical background, interests, and business requirements.

Where applicable, interns may utilise Artificial Intelligence (AI), Generative AI, automation technologies, advanced analytics, or digital manufacturing tools to improve engineering efficiency and decision-making.

Objective of the Project

• Improve manufacturing processes and operational performance.
• Support equipment optimisation and reliability initiatives.
• Analyse production data and identify improvement opportunities.
• Develop engineering solutions to improve yield, quality, productivity, and cost performance.
• Support continuous improvement and operational excellence activities.

Opportunities for Full Time Employment

High-performing interns may be considered for future internship, return internship, New College Graduate (NCG), or full-time employment opportunities, subject to business requirements and performance.

Project Scope

• Interns will analyse engineering and manufacturing data to identify opportunities for process , quality, yield, or equipment performance improvements.
• Interns will support engineering investigations, root cause analyses, and continuous improvement initiatives.
• Interns will develop data-driven recommendations to enhance operational efficiency and manufacturing performance.
• Interns will work with cross-functional teams to evaluate and implement engineering solutions.
• Interns may leverage AI-enabled tools, automation solutions, or advanced analytics to improve engineering workflows.

Learning Opportunities

• Gain exposure to high-volume semiconductor manufacturing operations and engineering environments.
• Develop practical problem-solving and analytical skills through real-world engineering projects.
• Learn how engineering decisions influence productivity, quality, cost, and operational performance.
• Collaborate with engineers and stakeholders across multiple functional teams.
• Gain exposure to AI-enabled engineering tools and digital manufacturing technologies.

Deliverables

• Engineering analysis and project findings.
• Data-driven improvement recommendations.
• Technical documentation and reports.
• Final project presentation to stakeholders.

Impact of the Project

Intern contributions will support improvements in manufacturing efficiency, equipment performance, product quality, operational reliability, and business outcomes across Micron's manufacturing operations.

Skillsets Required

• Strong analytical and problem-solving skills.
• Strong communication and presentation skills .
• Ability to work independently and collaboratively in cross-functional teams.
• Familiarity with Excel, JMP, Minitab, Python, SQL, Power BI, or similar analytical tools is advantageous .
• Familiarity with Artificial Intelligence, Generative AI, automation tools, or AI-enabled workflows is advantageous .
• Demonstrated interest in engineering, manufacturing, technology, and the semiconductor industry.

Course of Interest

Ideal candidates should be pursuing Mechanical Engineering, Electrical Engineering, Electronic Engineering, Chemical Engineering, Materials Science, Manufacturing Engineering, Industrial Engineering, Mechatronics Engineering, or a related field .