About the role
AI summarisedThe Quality Metro Real-time Defect Analysis Engineer supports quality monitoring and early defect detection in advanced packaging and NPI manufacturing. This role leverages RDA platforms, SPC/FDC systems, automation, and data analytics to prevent quality escapes, improve process robustness, and ensure quality readiness during product ramps. The engineer collaborates across Quality, Process, Equipment, and Automation teams to embed quality into monitoring strategies and drive 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 for NPI and new package introductions
- Translate quality risks and requirements into actionable RDA rules, alarms, dashboards, and control strategies
- Support early detection and prevention of quality excursions, yield detractors, and systemic risks
- Partner with Quality and Process teams to continuously refine monitoring thresholds and response strategies as NPI matures
- Ensure quality considerations are embedded in new RDA capability deployments and automation enhancements
- Support quality readiness assessments for new tools, processes, and package types through RDA and data visibility
- Collaborate with NPI, Process, and Equipment teams to ensure monitoring coverage for critical-to-quality (CTQ) parameters
- Provide data-driven insights to support NPI reviews, risk assessments, and ramp decisions
- Validate monitoring effectiveness during pilot and early ramp phases and drive improvements as needed
- Support containment, disposition, and recovery activities during NPI-related quality events
- Monitor and analyze quality-related metrics such as excursion rate, detection effectiveness, response time, and escape prevention
Requirements
- Bachelor’s degree in engineering (Chemical, Materials, Electrical, Mechanical, Industrial, Computer Engineering, or related discipline)
- 0-2 years of experience in semiconductor manufacturing, advanced packaging, quality engineering, process engineering, or RDA/automation roles
- Strong experience supporting NPI, pilot lines, or early production ramps
- Solid understanding of semiconductor quality concepts, excursion management, and yield improvement methodologies
- Experience with SPC/FDC, manufacturing data systems, or RDA platforms is highly preferred
- Strong analytical skills with the ability to interpret complex data and identify meaningful quality signals
- Demonstrated ability to work cross-functionally and influence without direct authority
- Strong documentation, communication, and presentation skills
- Strong analytical, logical, and critical thinking skills
- Effective communicator, able to collaborate across all levels
- Growth mindset with a passion for continuous learning
- Internship or experience in the semiconductor industry is a plus
- Demonstrated leadership and a track record of impact are highly desirable
- Interest in and knowledge of the semiconductor industry and Micron is preferred
- Ability to apply baseline digital fluency and role‑appropriate AI literacy to use AI‑enabled tools responsibly and effectively for research, analysis, content creation, problem‑solving, operational tasks, and achieving business outcomes