Quality Metro Real-Time Defect Analysis Engineer

About the role

Micron is looking for a Quality Metro Real-Time Defect Analysis (RDA) Engineer to enable robust quality monitoring, early detection and rapid containment of quality risks in advanced packaging and NPI manufacturing environments. The role bridges Quality, RDA, Process, Equipment and NPI teams, working with Site and Global Quality, Process Integration, Equipment Engineering and Automation to drive quality-focused diagnostics, excursion management and continuous improvement.

Key responsibilities

• Define and sustain quality-focused monitoring strategies using RDA, SPC, FDC and advanced analytics for advanced packaging processes, translating quality risks into RDA rules, alarms, dashboards and control strategies.
• Support quality readiness for NPI, pilot and ramp-to-high volume manufacturing transitions, including readiness assessments for new tools, processes and package types.
• Help contain, dispose of and recover from NPI-related quality events, and monitor metrics such as excursion rate, detection effectiveness, response time and escape prevention.
• Support root cause investigations with data and trends from RDA systems, and escalate high-risk trends with clear data and impact assessment.
• Partner with Quality teams to align RDA monitoring with quality systems, support continuous improvement, audits and reviews, and share lessons learned across sites.
• Integrate AI-assisted tools into daily work and document quality events and corrective actions accurately.

Required profile

• Bachelor's degree in engineering (Chemical, Materials, Electrical, Mechanical, Industrial, Computer or related).
• 0-2 years of experience in semiconductor manufacturing, advanced packaging, quality or process engineering, or RDA/automation roles.
• Understanding of semiconductor quality concepts, excursion management and yield improvement.
• Internship or semiconductor industry experience is a plus; interest in and knowledge of the semiconductor industry and Micron is preferred.

Required skills

• Experience with SPC/FDC, manufacturing data systems or RDA platforms is highly preferred.
• Strong analytical skills and ability to interpret complex data and identify quality signals.
• Ability to work cross-functionally and influence without direct authority, with strong documentation, communication and presentation skills.
• Baseline digital fluency and role-appropriate AI literacy to use AI-enabled tools responsibly.