Process Analysis Engineer

Micron Technology
Taiwan
Workplace: OnsiteFull timeFunction: Communications, PR & CommunityEducation: bachelorsSkills: ["Analytical skills","Problem-solving","Data-driven decision-making","Communication","Collaboration"]

Drive data-driven, AI-enabled process analysis in Micron’s Automation Development group to improve inline defense line effectiveness and process control for next-generation high-density memory manufacturing. Own issue investigation, root cause analysis, Design of Experiments (DOE), and continuous improvement programs for critical materials and processes. Build and deploy AI-assisted analytics across SPC, FDC/ADC, IoT, monitoring, and predictive tools, partnering with process, failure analysis, quality, and manufacturing teams.

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Micron Technology
Micron Technology
2 weeks ago

Process Analysis Engineer

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Last checked: 18 hours agoStatus: Live

Job Summary

Drive data-driven, AI-enabled process analysis in Micron’s Automation Development group to improve inline defense line effectiveness and process control for next-generation high-density memory manufacturing. Own issue investigation, root cause analysis, Design of Experiments (DOE), and continuous improvement programs for critical materials and processes. Build and deploy AI-assisted analytics across SPC, FDC/ADC, IoT, monitoring, and predictive tools, partnering with process, failure analysis, quality, and manufacturing teams.
Location: Taiwan
Workplace: Onsite
Employment Type: Full time
Job Function: Communications, PR & Community
Seniority: Mid level

Key Responsibilities

  • •Use AI-assisted and AI-enabled technologies to improve manufacturing intelligence and decision-making, including SPC, FDC, ADC, IoT, and data analytics.
  • •Apply AI-supported analytical approaches to identify process variations, strengthen inline defense line effectiveness, and accelerate root cause investigation and yield learning.
  • •Collaborate with internal and external partners to correlate defense line signals with product performance and develop knowledge databases (KDB) for systematic learning and issue prevention.
  • •Partner with Data Intelligence teams to develop and deploy AI-assisted applications, digital monitoring solutions, and predictive analytics tools for quality, robustness, and manufacturing efficiency.
  • •Drive continuous improvement projects using AI, advanced analytics, and automation to reduce variability and improve yield performance, communicating progress to global and site stakeholders.

Key Requirements

  • •Bachelor’s degree or above in Engineering, Materials Science, Electrical Engineering, Computer Science, Data Science, or a related discipline.
  • •Strong analytical and problem-solving skills with experience in data-driven decision-making.
  • •Familiarity with data analysis platforms, statistical software, AI-assisted analytical tools, or digital manufacturing applications.
  • •Demonstrated ability to use AI-assisted tools, advanced analytics, or digital solutions to support engineering, manufacturing, quality improvement, or operational activities.
  • •Strong communication, stakeholder management, and presentation skills, including conversational English proficiency with TOEIC 650+.
Education:Bachelor's in Engineering, Materials Science, Electrical Engineering, Computer Science, Data Science, or related disciplines
Skills:Analytical skillsProblem-solvingData-driven decision-makingCommunicationCollaboration
Languages:English
Tech Stack:AIStatistical Process Control (SPC)Fault Detection and Classification (FDC)Automated Defect Classification (ADC)Internet of Things (IoT)Data Analytics (DA)Design of Experiments (DOE)Predictive analytics

Company Brief

Micron Technology
Designs and manufactures semiconductor memory and storage solutions, including DRAM, NAND, and NOR flash, for computing, networking, mobile, and automotive markets worldwide.
Industry: Electronics Manufacturing
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Public Company
Valuation: Public Company (Market Cap in USD)
Funding: IPO / Publicly Listed
Headquarters: Boise, United States
Founded: 1978
Glassdoor
Glassdoor: 3.7
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