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Micron Technology

SR/STAFF ENGINEER, FECOS CPIE YE

Micron Technology
Integrated Device ManufacturingSingapore, SingaporeOnsitePosted 1 month ago
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About the role

AI summarised

The SR/Staff Engineer, FECOS CPIE YE role at Micron Technology focuses on driving yield improvement across DRAM, NAND, and HBM technologies through strategic initiatives, yield modeling, and BKM deployment. The position requires leading cross-functional teams, optimizing yield programs, and supporting AI transformation of yield management systems. The ideal candidate has strong analytical skills, experience in process integration engineering, and a growth mindset to advance yield engineering practices globally.

IDMOnsiteFront End

Key Responsibilities

  • Lead Strategic Initiatives Lead high‑impact, cross‑functional initiatives to drive yield improvement across DRAM/NAND/HBM technologies
  • Lead the AI transformation of YMS systems in partnership with Fab and SMAI teams
  • Yield Pareto Benchmarking / Modelling Identify actionable yield improvement opportunities through cross-fab pareto benchmarking
  • Develop and enhance yield models for DRAM/NAND/HBM technologies
  • Optimize and sustain methodologies to set targets for yield program (5-bucket, detractor targets)
  • Revalidate models based on actual performance
  • BKM Deployment Lead YE SWAT team to define, align, and deploy BKMs across global YE network
  • Drive standardization adoption of BKMs across sites and foster a unified approach to yield engineering
  • Partner closely with site and central cross‑functional teams to ensure seamless execution of projects and initiatives
  • Work with high attention to detail while being able to operate independently when needed

Requirements

  • 3+ years of experience in PIE; understanding of Process/Product Integration preferred
  • YE experience is an advantage
  • High proficiency in data analytic tools such as Yield3, JMP, Python to perform yield analysis
  • Proficiency in Statistical/Machine Learning is a plus
  • Strong understanding of structural and process integration concepts, including basic process‑area knowledge
  • Knowledge of fabrication processes, probe, backend and reliability implications preferred
  • Demonstrated ability to make sound decisions, multitask effectively, and perform root‑cause analysis via Model-Based Problem Solving approach
  • PhD/Masters/Bachelors with relevant course of study or experience
  • Willingness to travel as required to support business needs
  • Strong growth mindset — committed to learning, unlearning, and relearning to stay ahead in a rapidly evolving environment