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Micron Technology

Makes memory and storage chips for AI and PCs

Engineer – Quality Metro Real-time Defect Analysis

Quality EngineeringConfirmed live in the last 24 hours
Full-timeSingaporeNo salary listedIn-person

About the Job

Requirements

  • A bachelor's degree in engineering, including Chemical, Materials, Electrical, Mechanical, Industrial, or Computer Engineering, or a related discipline.
  • 0–2 years of experience in semiconductor manufacturing, advanced packaging, quality engineering, process engineering, or RDA/automation roles.
  • Understanding of semiconductor quality concepts, excursion management, and yield improvement methodologies.
  • Strong analytical skills to interpret complex data and identify meaningful quality signals.
  • Ability to work cross-functionally and influence without direct authority.
  • Strong documentation, communication, and presentation skills.
  • Strong analytical, logical, and critical-thinking skills.
  • Ability to collaborate across all levels.
  • 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 business outcomes.

Responsibilities

  • Integrate AI-assisted tools and insights into daily work to improve efficiency, quality, or effectiveness while exercising sound judgment and complying with organizational standards and legal requirements.
  • Identify, test, and share AI-enabled enhancements within the role’s scope of work.
  • 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 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 parameters.
  • Provide data-driven insights for 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 metrics, including excursion rate, detection effectiveness, response time, and escape prevention.
  • Support root-cause investigations by providing 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.
  • Escalate high-risk trends and quality concerns with supporting data and impact assessments.
  • Partner with Site and Global Quality teams to align RDA monitoring strategies with quality systems and standards.
  • 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 across sites and programs.
  • Support audits, reviews, and assessments by providing monitoring data and quality insights.

Desired Qualifications

  • Experience with SPC/FDC, manufacturing data systems, or RDA platforms is highly preferred.
  • 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.

About the Company

Micron Technology

Makes memory and storage chips for AI and PCs

Micron Technology designs and manufactures memory and storage chips, mainly DRAM and NAND flash, used in data centers, PCs, phones, cars and industrial equipment. It is one of only three companies that make HBM, the stacked high-bandwidth memory placed beside processors in AI servers, and it is the largest memory chipmaker based in the United States. Unlike chip designers that outsource production, Micron runs its own fabs and assembly sites in the United States and across Asia. It earns money by selling chips, memory modules and solid-state drives to cloud providers, device makers and distributors. Micron was founded in 1978 and is headquartered in Boise, Idaho.

Company size
10,001+
Company stage
IPO
Headquarters
Boise, ID
Founded
1978

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