Staff Engineer - Semiconductor Process & Yield Innovation

Micron Technology, Inc.

Singapore

On-site

SGD 120,000 - 190,000

Full time

10 days ago
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Job summary

Micron Technology, Inc. in Singapore seeks a Staff/Senior Process Development Engineer for PDE-CEM.

You will develop robust PORs for assembly and packaging, drive failure analysis and DOE-driven improvements, and lead cross-functional teams to accelerate product and technology development. Expertise in semiconductor physics, advanced characterization, and data analytics will enable predictive monitoring and successful NPI/transfers.

Qualifications

  • Ph.D./M.S./B.S. in Physics or Materials Science or related discipline.
  • 5+ years of semiconductor industry experience in Process Development, Yield, or Failure Analysis.
  • Strong fundamentals in semiconductor device physics and materials science.

Responsibilities

  • Develop and optimize POR for assembly and packaging technologies.
  • Lead root cause investigations using RCA, FMEA, OCAP, and containment strategies.
  • Analyze failure mechanisms and process interactions impacting yield and reliability.
  • Utilize DOE, SPC, and Six Sigma to characterize and optimize manufacturing processes.
  • Drive NPI readiness and technology transfers with first-pass success.
  • Coach engineers and lead cross-functional teams across PDE, Manufacturing, Yield, and Equipment.

Skills

Semiconductor physics
Advanced characterization
Cross-functional leadership
Data analytics
DOE / SPC / Six Sigma

Education

Ph.D. in Physics or Materials Science
M.S. in Physics or Materials Science
B.S. in Physics or Materials Science

Tools

SEM
TEM
FIB
AFM
Spectroscopy (Raman/EDS)

Job description

Micron Technology, Inc. in Singapore seeks a Staff/Senior Process Development Engineer for PDE-CEM.

You will develop robust PORs for assembly and packaging, drive failure analysis and DOE-driven improvements, and lead cross-functional teams to accelerate product and technology development. Expertise in semiconductor physics, advanced characterization, and data analytics will enable predictive monitoring and successful NPI/transfers.

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