Intern - Chemical Mechanical Planarization Process Engineering

1100 Micron SemiAsiaOP Pte Ltd; Singapore; On-site; SGD 20,000 - 27,000; Full time

Benefits offered by this job

Potential full-time opportunities

5-month internship (Jan–May 2027)

Job summary

Micron Technology, Inc. in Singapore invites an intern for an AI-enabled Chemical Mechanical Planarization (CMP) process optimization and equipment characterization within a semiconductor manufacturing environment.

You will analyze CMP processes, metrology, and data, applying statistics and AI methods to improve stability, yield, and data accessibility. You will collaborate with cross-functional engineering teams, develop an AI-enabled dashboard or analytics tool, and produce a technical report

Qualifications

• Strong analytical and problem-solving skills with ability to interpret experimental data.
• Familiarity with statistical analysis, experimental design, and data visualization.
• Knowledge of semiconductor manufacturing or related engineering fields is a plus.

Responsibilities

• Analyze CPM process, metrology, and manufacturing data to identify trends and improvement opportunities.
• Develop and evaluate AI-enabled dashboards, analytics models, or automation tools.
• Collaborate with cross-functional engineering teams to deliver actionable engineering recommendations.

Skills

Analytical thinking

Problem-solving

Statistical analysis

Data interpretation

AI/ML familiarity

Cross-functional teamwork

Education

Bachelor's degree in Chemical Engineering, Materials Science and Engineering, Mechanical Engineering, Electrical and Electronic Engineering, Data Science, Computer Science or related field

Tools

AI tools

Machine Learning

Data visualization

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.

Department Advanced Technology and Solutions, Process Equipment Engineering, Chemical Mechanical Planarization

Project Title

AI-Enabled Chemical Mechanical Planarization Process Optimization and Equipment Characterization

Project Description

The intern will undertake a structured engineering project focused on Chemical Mechanical Planarization process optimization, equipment characterization, and manufacturing excellence within a semiconductor manufacturing environment. The project will provide practical exposure to process and metrology data analysis, statistical methods, process capability assessment, material or equipment qualification, and Artificial Intelligence-Enabled engineering workflows. The intern will collaborate with cross-functional engineering teams to develop and evaluate a solution that improves process performance, yield, cost efficiency, engineering productivity, or data accessibility.

Objective of the Project

Analyze Chemical Mechanical Planarization process, metrology, equipment, and manufacturing data to identify trends and improvement opportunities. Apply statistical and AI-Assisted methods to evaluate process stability, capability, and performance. Develop a dashboard, analytics model, or automation solution that improves engineering productivity or data accessibility. Generate engineering recommendations for process optimization, equipment characterization, or qualification activities.

Opportunities for Full Time Employment

Interns may be considered for future internship or full-time employment opportunities based on business requirements, available positions, and the applicable recruitment process.

Project Scope

Analyze Chemical Mechanical Planarization process, metrology, equipment, and manufacturing datasets using statistical and AI-Assisted analytical methods. Conduct process characterization, capability assessment, and evaluation of selected materials, consumables, or equipment changes. Investigate a defined process-performance challenge with process, equipment, quality, and manufacturing stakeholders. Develop and evaluate an improvement that advances process stability, yield, cost efficiency, engineering productivity, or data visibility.

Learning Opportunities

Gain practical exposure to Chemical Mechanical Planarization processes, equipment, metrology, and semiconductor manufacturing integration. Learn process characterization, statistical analysis, process capability assessment, and qualification methodologies. Develop familiarity with Artificial Intelligence, machine learning, data visualization, automation, and AI-Enabled engineering workflows. Collaborate with cross-functional engineering teams and communicate technical findings to relevant stakeholders.

Deliverables

• A technical report covering the project objectives, methodology, analytical results, conclusions, and engineering recommendations.
• Documented process-characterization, process-capability, or qualification results that inform engineering decisions.
• An AI-Enabled dashboard, analytics model, or automation tool that improves engineering productivity or data accessibility.
• A final presentation outlining the project outcomes, demonstrated impact, identified limitations, and future improvement opportunities. The internal internship programme identifies project presentations to department leaders and interim or final reports and presentations as internship completion components.

Impact of the Project

Improve the visibility and interpretation of Chemical Mechanical Planarization process and equipment data. Strengthen process characterization and data-informed engineering decision-making. Identify opportunities to improve process stability, yield, cost efficiency, or engineering productivity. Demonstrate a scalable AI-Enabled or automated approach for future process-engineering applications.

Skillsets Required

• Strong analytical, structured problem-solving, and experimental data-interpretation skills.
• Familiarity with statistical analysis, Design of Experiments, process capability assessment, or data-visualization methods.
• Basic knowledge of semiconductor manufacturing, materials science, chemical processes, mechanical engineering, or equipment engineering.
• Familiarity with Artificial Intelligence tools, machine learning, AI Assistants, Generative AI, or other AI-Enabled analytical workflows.
• The internal template requires AI proficiency or familiarity with AI tools and AI-Enabled workflows when relevant.
• Its comparable quality analytics example identifies statistical analysis, machine learning, data analytics tools, and analytical problem-solving as appropriate intern skillsets.

Course of Interest

The ideal candidate should be pursuing a degree in Chemical Engineering, Materials Science and Engineering, Mechanical Engineering, Electrical and Electronic Engineering, Data Science, Computer Science, or a related field.

Duration of Period

The ideal candidate should be able to commit to a full time internship period of 5 months form 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.

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 [e-mail]

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.