Advanced Engineering & Manufacturing Internship (Singapore)

Applications Now Open: Jan–Jun 2027 University Internship Program at Micron Singapore

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. 
 

Duration of Period 
Ideal candidates should be able to commit to a full time internship period of at least 4 months.