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.
JR38084 INTERN - PIE RDA

Location :

1, North Coast Drive, Singapore 757432

Department :

Product Integration Engineering (PIE), Real Time Defect Analysis (RDA)

Title of project:
To develop Best Sampling Model that will maximize the return of investment and to accurate analyze the different types of RDA critical metrics

Project Description:
Real-Time Defect Analysis department plays a critical role in Yield Improvement Program by driving baseline defect reduction program and ensuring robust defect excursion control through sampling methodology. In the leading tech node in Fab10, there are hundreds of critical defects across many inspection steps (using various tools that have different cost and effectiveness) being sampled at low level to maintain low cost and fast cycle time. The sampled data will then be utilized to conduct in-depth defect data analytic, which includes estimation of defect reduction significance from defect improvement projects and excursion significance from deviation processes.\xe2\x80\x8b

Scope:

In this project, students will gain 1st hand experience to understand semiconductor processes and how defects improvements are been carried out, the various inline data collection methodologies and different electrical probe testing for defects. Students will then combine all these information to develop a Best Sampling Model that will accurately predict the defect reduction/excursion significance and the relevant optimum sampling level. Students are expected to understand the pros and cons of the various methods we have, explore statistical, deploy different Big Data Analytics techniques and conduct actual simulation to build the model. Some additional considerations will be the cost of the data collection. \xe2\x80\x8b

Deliverable:

To develop Best Sampling Model that will maximize the return of investment and to accurate analyze the different types of RDA critical metrics (different cost of data collection, varying effectiveness, wide range of mean/range/standard deviation) to output: 1) defect reduction/excursion effectiveness and confidence level; 2) Optimum sampling level required.\xe2\x80\x8b

Skillset Required :

• Students pursuing Bachelor\'s degree in engineering,

Course of interests :

• Engineering

Duration Period :

• 3 months ( 5/8 - 8/4/2023)

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\xc2\xae and Crucial\xc2\xae 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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