Intern- Process Engineering Assistant

This internship focuses on enabling wafer thickness drift detection and auto-correction within Micron's manufacturing operations. The intern will apply industrial data analytics, simulation, and optimization skills to improve process efficiency and product quality control in semiconductor manufacturing. The role involves exploring machine learning techniques for feature selection, simulation, evaluation, and measurement data, as well as inline and probe data correlation and multiple variable optimization.

Must Have

• General problem solving
• data analytics
• SPC

Good to Have

• Mechanical engineering courses
• statistic related courses

Perks & Benefits

• Paid Time Off
• Continuous Learning
• Wellness Programs
• Stock Purchase Program
• Health Insurance
• Recognition

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:
• Process and Equipment Engineering
• Project Title: Backgrind Process Wafer Thickness run to run auto thickness adjustment enablement
• Project Description: Data analytics and machine auto-adjustment has been introduced in the Micron manufacturing operations to improve efficiency. Auto drift detection analysis and correction will significantly improve the process efficiency.
• Objective of the project: Enable wafer thickness drift detection and auto correction.
• The student will have the opportunity to learn and apply industrial data analytics, simulation and optimization skills to solve the practical issues and bring real impact on the state-of-arts semiconductor manufacturing process.
• The intern will also have opportunity to participate to an end-to-end solution development team to contribute ideas and learn from industrial subject experts.
• Project Scope:
• Explore various machine learning techniques for the feature selection, simulation, evaluation and measurement data. Explore inline and probe data correlation. Explore multiple variables optimization. Explore SPC.
• Deliverable: Stable process with early drift detection and auto-correction
• Impact of Project: Improve product quality control and process efficiency
• Skillset Require: General problem solving, data analytics, and SPC.
• Course of interests: Mechanical engineering and statistic related courses.
• Duration Period: min 5 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.

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.

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