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Micron Technology

Makes memory and storage chips for AI and PCs

Engineer – Metro Real-time Defect Analysis - Process & Equipment

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

About the Job

Requirements

  • A bachelor's degree in engineering, specifically Chemical, Materials, Electrical, Mechanical, Mechatronics, Industrial, or a related discipline.
  • Zero to two years of experience in semiconductor manufacturing, advanced packaging, process engineering, equipment engineering, or RDA/automation roles.
  • Understanding of semiconductor equipment systems, process control concepts, and manufacturing variability.
  • Strong analytical, problem-solving, logical, and critical-thinking skills, including the ability to connect process, equipment, and data insights.
  • Ability to work cross-functionally and influence technical decisions.
  • Strong documentation skills and ability to communicate effectively 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.
  • Ability to embody Micron's core values: respect, develop, and empower others; drive continuous improvement and breakthrough thinking; show grit and determination; build trust and foster teamwork; and deliver excellence and value.

Responsibilities

  • Develop and sustain RDA monitoring strategies aligned to advanced packaging process requirements and equipment behavior.
  • Translate process and equipment knowledge into effective Statistical Process Control (SPC), Fault Detection & Classification (FDC), and RDA rules, alarms, and diagnostics.
  • Identify equipment-related process sensitivities, interactions, and failure modes, particularly during NPI and early ramp.
  • Drive improvements in tool stability, repeatability, and process window control through data-driven insights.
  • Support deployment and tuning of new RDA capabilities, scripts, dashboards, and automation logic for new tools and package types.
  • Ensure monitoring strategies evolve appropriately as NPI transitions to HVM.
  • Partner with Process and Equipment Engineers to support tool bring-up, qualification, and stabilization using RDA insights.
  • Ensure critical process and equipment parameters are monitored effectively during NPI and pilot phases.
  • Provide technical input to NPI readiness reviews, risk assessments, and ramp decision checkpoints.
  • Support rapid root cause analysis and corrective actions for equipment- or process-driven excursions.
  • Validate monitoring coverage and effectiveness for new equipment platforms and process flows.
  • Analyze equipment and process performance metrics such as availability, stability, excursion rate, and recovery effectiveness.
  • Use RDA and manufacturing data to identify chronic issues, systemic gaps, and improvement opportunities.
  • Support MTTR reduction, tool performance optimization, and process capability improvement initiatives.
  • Provide data-driven recommendations to improve equipment reliability and process robustness.
  • Ensure accurate documentation and traceability of issues, actions, and improvements.
  • Work closely with Site and Global RDA teams to standardize monitoring approaches across tools, processes, and sites.
  • Collaborate with Equipment, Process, and NPI teams on continuous improvement projects and technology transitions.
  • Provide technical guidance on RDA best practices from a process and equipment perspective.
  • Participate in lessons learned, best-practice sharing, and knowledge transfer activities.
  • Support audits, technical reviews, and assessments with objective data and analysis.
  • 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.

Desired Qualifications

  • Experience supporting NPI, pilot lines, or early production ramps.
  • Hands-on experience with SPC/FDC, RDA platforms, or manufacturing data systems.
  • Internship or experience in the semiconductor industry.
  • Demonstrated leadership and a track record of impact.
  • Interest in and knowledge of the semiconductor industry and Micron.

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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