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 Singapore Fab 10N Department Facilities Engineering, Artificial Intelligence and Smart Facilities Project Title Fab 10N Facilities Artificial Intelligence and Workflow Transformation Project Description This internship provides an opportunity to explore the application of Artificial Intelligence, Machine Learning, data analytics, automation, and digital technologies within a semiconductor manufacturing facilities environment. The project focuses on developing AI-Enabled solutions that enhance equipment reliability, predictive analytics capabilities, operational efficiency, knowledge accessibility, and engineering decision-making. The intern will gain exposure to real-world industrial datasets, engineering workflows, Artificial Intelligence technologies, and digital transformation initiatives. Through collaboration with Facilities engineers and domain experts, the intern will learn how advanced analytics and Artificial Intelligence can be applied to solve operational challenges and create business value. Objective of the Project Develop AI-Enabled solutions that improve Facilities Engineering analytics and decision-making. Apply Machine Learning and data anal
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Role overview
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
Fab 10, 1 North Coast Drive
Department
F10 Facilities
Project Title
Exhaust Plume Detection and Reduction Through Mechanical Engineering Analysis
Project Description
This internship provides an opportunity to participate in an engineering study focused on the characterisation, detection, and mitigation of exhaust plumes within a semiconductor manufacturing environment. The project involves evaluating plume formation mechanisms, assessing potential detection methods, and investigating engineering approaches to reduce or eliminate visible plume conditions.
The intern will apply mechanical engineering principles, data analysis, and engineering evaluation techniques to support the study while gaining exposure to facilities systems, sustainability initiatives, and energy-efficiency opportunities.
Objective of the Project
Investigate factors that contribute to exhaust plume formation.
Evaluate suitable methods for plume detection and characterisation.
Assess engineering approaches for plume reduction or elimination.
Identify potential energy-efficiency opportunities associated with mechanical exhaust systems.
Opportunities for Full Time Employment
Successful interns who demonstrate strong technical capability, learning agility, and effective collaboration may be considered for future internship or graduate employment opportunities, subject to business requirements.
Project Scope
Conduct plume observations and collect engineering data relevant to the study.
Analyse potential plume sources and environmental or operating conditions that contribute to plume formation.
Apply thermodynamics, heat transfer, and fluid mechanics principles to evaluate plume behaviour and mitigation approaches.
Develop engineering analyses using tools such as Excel and prepare conceptual layouts or sketches using AutoCAD where applicable.
Where appropriate, utilise AI-enabled tools to support engineering analysis, documentation, and data interpretation.
Learning Opportunities
Gain practical exposure to facilities mechanical systems and industrial exhaust systems within a semiconductor manufacturing environment.
Apply mechanical engineering concepts including thermodynamics, heat transfer, and fluid mechanics to a real-world engineering challenge.
Develop experience in engineering data collection, analysis, and interpretation.
Learn how engineering studies are used to evaluate technologies, improve system performance, and support decision-making.
Build technical communication skills through engineering documentation and project presentations.
Deliverables
Engineering study report summarising plume observations, findings, and analysis.
Evaluation of plume detection methods and their suitability for the application.
Assessment of engineering options for plume reduction or elimination.
Energy-efficiency opportunity assessment related to the study.
Final project presentation with recommendations and key findings.
Impact of the Project
Improve understanding of exhaust plume formation and contributing factors.
Identify technically feasible approaches for plume detection and mitigation.
Provide engineering insights that support future facilities system improvements.
Evaluate opportunities for improving mechanical system efficiency and sustainability performance.
Skillsets Required
Strong foundation in mechanical engineering principles, particularly thermodynamics, heat transfer, and fluid mechanics.
Strong analytical, problem-solving, and data interpretation skills.
Familiarity with Excel and AutoCAD is advantageous.
Effective communication and technical documentation skills.
Familiarity with Artificial Intelligence (AI) tools or AI-enabled workflows is advantageous.
Course of Interest
The ideal candidate should be pursuing a degree in Mechanical Engineering or a related engineering discipline.
Duration of Period
The ideal candidate should be able to commit to a full time internship period of 5 monhs from Jan to May 2027.
About Micron Technology, Inc.
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.
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Qualification
Opportunities for Full Time Employment Successful interns who demonstrate strong technical capability, learning agility, and effective collaboration may be considered for future internship or graduate employment opportunities, subject to business requirements; Course of Interest The ideal candidate should be pursuing a degree in Mechanical Engineering or a related engineering discipline; 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
Hiring company
Micron
Micron is a global leader in memory and storage, powering AI and compute-intensive applications from cloud to edge with innovative semiconductor solutions.
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