Intern - ADTS PEE Dry Etch

Micron; Singapore; On-site; SGD 17,000 - 23,000; Full time

Benefits offered by this job

Full-time internship

Mentorship by senior engineers

Cross-functional collaboration

Job summary

Micron Technology, Inc. in Singapore is seeking a motivated student for a full-time internship focused on cumulative error variation reduction in staircase and chop etch processes.

You will analyze manufacturing data and apply statistical methods to identify sources of variation, working with cross-functional teams. The role offers hands-on experience with dry etch processes, data visualization, and AI-enabled workflows, with mentorship from experienced engineers and a chance to present findings

Qualifications

• Strong analytical and problem-solving skills are required.
• Familiarity with statistical methods and data visualization.
• Experience with Python, R, SQL or related data analysis tools is advantageous.
• Interest in semiconductor manufacturing and dry etch processes is essential.

Responsibilities

• Analyze manufacturing process and measurement data to identify sources of cumulative error variation.
• Apply statistical analysis and data visualization to evaluate relationships between process conditions and error performance.
• Develop potential control strategies to reduce variation and improve inline stability.
• Collaborate with cross-functional engineering teams to validate findings.
• Prepare final internship presentation with data-backed recommendations.

Skills

Analytical skills

Problem solving

Statistics

Data visualization

Python

R

SQL

Education

Pursuing degree in Materials Science & Engineering / Chemical / Electrical & Electronic / Mechanical Engineering

Tools

None

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.

Project Title

Cumulative Error Variation Reduction in Staircase and Chop Etch Processes

Project Description

Analyze manufacturing process and measurement data to identify sources of cumulative error variation within advanced-technology staircase and chop etch processes. Develop data-driven control strategies and process improvement recommendations to reduce variation and improve inline process stability. The project will provide exposure to dry etch processes, staircase flow integration, statistical analysis, data visualization, and the etching mechanisms relevant to semiconductor process control.

Project Scope

• Understand the measurement methodology and process mechanisms used to define cumulative error within the staircase formation loop.
• Analyze process and measurement data to identify factors contributing to cumulative error variation.
• Apply statistical analysis and data visualization techniques to evaluate relationships between process conditions and cumulative error performance.
• Develop potential control strategies to reduce cumulative error variation.
• Recommend opportunities to improve process margins and inline stability.

Learning Opportunities

Gain hands-on experience in semiconductor process data analysis and troubleshooting. Develop a deeper understanding of dry etch processes, staircase flow integration, and lateral and vertical etching mechanisms. Apply statistical analysis, data visualization, and AI-enabled workflows to an engineering project. Collaborate with cross-functional engineering teams and subject matter experts. Develop technical storytelling and presentation skills.

Deliverables

• Source-of-variation analysis for cumulative error within the staircase formation loop.
• Data visualizations summarizing key findings and process relationships.
• At least one proposed control strategy or process improvement idea.
• Recommendations for improving process margins and inline stability.
• Final internship project presentation to department leadership.

Impact of Project

• Improve the understanding and control of cumulative error variation.
• Enhance inline process stability and contribute to device yield performance.
• Identify potential opportunities to improve dry etch process efficiency and equipment productivity.

Skillsets Required

• Strong analytical and problem-solving skills.
• Interest in semiconductor manufacturing and dry etch processes.
• Familiarity with statistical analysis and data visualization.
• Familiarity with machine learning, AI tools, or AI-enabled workflows.
• Experience with Python, R, SQL, JMP, or related data analysis tools would be advantageous.

Course of Interest

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

Duration

The ideal candidate should be able to commit to a full-time internship period of at least five months.

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.

To learn more, please visit micron.com/careers. In the About Micron Technology, Inc.