Staff Engineer CPQE DM (Event Deviation)

What You'll Do

• Lead global quality initiatives to design, implement, and sustain robust deviation management processes and systems.
• Drive the Effective Problem Solving (EPS) SWAT team , deploying Best-Known Methods (BKMs) and standardizing practices across manufacturing sites.
• Analyze and resolve major Quality deviations (e.g., Excursion & Late event) by providing data-driven recommendations to improve fab performance.
• Champion quality improvement projects , addressing non-conformances and implementing corrective and preventive actions.
• Continuously enhance quality metrics such as $CoNC and %NCD through innovative solutions and system improvements.
• Form and lead cross-functional task forces to address quality health concerns and improve metric performance across sites.
• Drive innovative, AI-powered project solutions to optimize efficiency, accelerate problem resolution, and deliver sustained KPI performance.
• Collaborations Partner with global stakeholders to align quality strategies and improve roadmaps .
• Perform trend analysis and data-driven evaluations to guide corrective and preventive actions.
• Support manufacturing objectives by collaborating with worldwide central and site teams to balance quality, cost, and output.
• Recommend Global solution & System to assist Site EPS & Event Engineering team to manage the Deviation management effectively and efficiently Qualifications & Skills Strong foundation in problem ‑solving methodologies (EPS, GPSS, 8D, 5 ‑Why) within semiconductor manufacturing.
• Demonstrated ability to apply AI and digital tools to improve engineering decision‑making and process effectiveness.
• Proven experience leading cross ‑functional initiatives with measurable business impact.
• Ability to translate complex AI concepts into practical, deployable solutions for operations and engineering Teams.
• Excellent communication skills to influence and align diverse stakeholders.
• Ability to thrive in a fast-paced, dynamic environment and manage multiple priorities effectively.
• Education and Experiences Bachelor’s or Master’s degree in Engineering, Quality Management, or related field .
• Minimum 5 years of experience in Quality or Yield/Process engineering or related roles within the semiconductor industry.
• Additional Job Descriptions Define, evaluate, and maintain global quality business rules to ensure alignment with Micron’s quality strategy and compliance requirements.
• Monitor and analyze deviation trends across sites to identify systemic issues and recommend preventive measures.
• Drive standardization of deviation management processes across the Frontend network.
• Collaborate with Corporate QMS and other central teams to ensure business rules integrate seamlessly with global quality systems .
• 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 request assistance with the application process and/or for reasonable accommodations, please contact at hrsupport_taiwan@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.
• 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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