Our vision is to transform how the world uses information to enrich life for all.

Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate and advance faster than ever.

As a Micron Front End Central Quality Senior Engineer, you will be a member of the worldwide quality team responsible for driving quality and reliability improvement initiatives into Front End Manufacturing network. Work closely with Global Quality and internal stakeholders to perform data analysis in key metrics to monitor quality and reliability health including DPM and Uncorrectable Error (UE) metrics.  Additionally, you will also work with business partners to develop the strategy for continually improving product quality and reliability for Front End and supporting Time to Mature DPM program and Time to Mature Uncorrectable Error (UE) program execution.

Responsibilities and Tasks include but not limited to

• Design and develop methods to extract and analyze unstructured diverse Backend & Front-end data. Perform data correlations to determine the Patterns and perform first level of debug.

• Translate raw data into compelling visual stories that highlight trends, anomalies, and opportunities for improvement.

• Collaborate with business partners and cross-functional teams to drive detection, Corrective and Preventive Actions in line-of-sight metrics

• Work with cross-functional team to deploy BKMs of Back End to Front End collaboration process like WL DPM forecast and RMA DPM reduction etc. 

• Lead cross-functional initiatives or enabling projects that support companywide quality objectives.

• Manage the projects to enable the implementation path for new initiatives.

• Strong verbal and written communication skills, able to communicate the analysis and present insights to business partners.

Skills and experience you will need:

• MS/BS or equivalent experience in Electrical or Computer Engineering

• >3 years of experience in the following areas

• Good knowledge in Semiconductor Manufacturing, common semiconductor reliability tests and failure mechanisms

• Fluency in Python and/or R, other statistical software including scripting capability for automating analyses

• Knowledge of using statistical tools, Unix, Tableau, Power BI, JMP

• Understanding of statistics applied to data analysis, especially in Quality and reliability.

• Exposure to statistical modeling, feature extraction and analysis. good to have - supervised/unsupervised/semi-supervised learning, integrating LLM into production environment.

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 [email protected]

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.   

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