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Micron Technology

Engineer, Quality Metro Real-time Defect Analysis

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

AI summarised

As a Quality Metro Real-time Defect Analysis (RDA) Engineer, you will be responsible for enabling robust quality monitoring, early detection, and rapid containment of quality risks across advanced packaging and NPI manufacturing environments. This role bridges Quality, RDA, Process, Equipment, and NPI teams to drive quality-focused diagnostics and continuous improvement.

IDMOnsiteAssembly & Test

Key Responsibilities

  • Define and sustain quality-focused monitoring strategies using RDA, SPC, FDC, and advanced analytics for advanced packaging processes.
  • Identify critical quality signals, failure modes, and process sensitivities, particularly during NPI and new package introductions.
  • Translate quality risks into actionable RDA rules, alarms, dashboards, and control strategies to support early detection of excursions.
  • Support quality readiness assessments for new tools, processes, and package types through RDA data visibility during NPI, pilot, and ramp phases.
  • Monitor and analyze quality-related metrics such as excursion rate, detection effectiveness, response time, and escape prevention.
  • Support root cause investigations by providing high-quality data, trends, and diagnostic insights from RDA systems.
  • Partner with Quality and Process teams to continuously refine monitoring thresholds and response strategies as NPI matures.
  • Drive continuous improvement initiatives focused on yield improvement, defect reduction, and robustness enhancement through data analysis.

Requirements

  • Experience in advanced packaging manufacturing environments.
  • Proficiency with Real-time Defect Analysis (RDA) platforms and data analytics.
  • Knowledge of Statistical Process Control (SPC) and Fault Detection & Classification (FDC) systems.
  • Ability to translate quality risks into actionable monitoring strategies and control parameters.
  • Experience supporting NPI, pilot, and early ramp phases of manufacturing transitions.
  • Strong analytical skills to investigate quality excursions and trends using data from monitoring systems.