Engineer, Quality Metro Real-time Defect Analysis

Micron Technology; Singapore; On-site; SGD 60,000 - 80,000; Full time

Job summary

Micron Technology is seeking a Quality Metro Real-time Defect Analysis (RDA) Engineer in Singapore. This role focuses on developing robust quality monitoring systems across advanced packaging and NPI manufacturing environments. You will work closely with Quality, RDA, and Process teams to translate quality requirements into actionable monitoring strategies.

The ideal candidate will have a bachelor's degree in engineering and relevant experience in semiconductor manufacturing. Strong analytical skills and effective communication are essential.

Qualifications

• 0-2 years of experience in semiconductor manufacturing, advanced packaging, or quality engineering.
• Solid understanding of semiconductor quality concepts and yield improvement methodologies.
• Internship in the semiconductor industry is a plus.

Responsibilities

• Identify and deliver quality-centric RDA processes and technology.
• Define quality-focused monitoring strategies using RDA and SPC.
• Support early detection and prevention of quality excursions.

Skills

Strong analytical skills

Effective communicator

Cross-functional collaboration

Problem-solving

Digital fluency and AI literacy

Education

Bachelor’s degree in engineering

Tools

SPC

FDC

RDA platforms

Job description

Job Description

As the Quality Metro Real-time Defect Analysis (RDA) Engineer, you will lead the development and implementation of robust quality monitoring systems across advanced packaging and NPI manufacturing environments. Your work will focus on leveraging RDA platforms, Statistical Process Control (SPC), Fault Detection & Classification (FDC), automation, and data analytics to prevent quality escapes, accelerate learning, and improve product and process robustness, especially during New Product Introduction (NPI), pilot, and early ramp phases. You will serve as a critical bridge between Quality, RDA, Process, Equipment, and NPI teams, ensuring that quality requirements are translated into actionable monitoring strategies and operational execution.

Responsibilities

• Identify, select, and deliver quality‑centric RDA processes, monitoring, and technology.
• 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 for NPI, pilot, and ramp‑to‑high‑volume manufacturing (HVM) transitions.
• Assess new tools, processes, and package types through RDA and data visibility to support quality readiness.
• 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.
• Drive, improve, and maintain quality metrics and excursion management effectiveness.
• 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.
• Ensure accurate logging, documentation, and traceability of quality events and corrective actions.
• Identify recurring quality issues and systemic gaps in monitoring or response mechanisms.
• Proactively escalation high‑risk trends and quality concerns with clear data and impact assessment.
• Collaborate on continuous improvement and quality system integration.
• Align RDA monitoring strategies with quality systems and standards across sites and programs.
• Support continuous improvement initiatives focused on yield improvement, defect reduction, and robustness enhancement.
• Provide operational and technical feedback on RDA solutions from a quality effectiveness perspective.
• Participate in lessons learned, best‑practice sharing, and standardization efforts across sites and programs.
• Support audits, reviews, and assessments by providing objective monitoring data and quality insights.
• Integrate AI‑assisted tools and insights into daily work to improve efficiency, quality, or effectiveness, exercising sound judgment and complying with organizational standards and legal requirements.
• Contribute to a culture of continuous improvement by identifying, testing, and sharing AI‑enabled enhancements within one’s scope of work.

Qualifications

• 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.
• Embodies Micron’s core values: People – Respect, develop, and empower others; Innovation – Drive continuous improvement and breakthrough thinking; Tenacity – Show grit and determination; Collaboration – Build trust and foster teamwork; Customer Focus – Deliver excellence and value; Inclusion & Accessibility.

EEO Statement

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status. Reasonable accommodation is available to enable individuals with disabilities to perform the essential functions of this role. All qualified candidates are encouraged to apply.