MNC InsiderMNC Insider

Process Analysis Engineer

Micron Technology

Process Analysis Engineer

full-timePosted: Aug 25, 2026Updated: Sep 1, 2026Taiwan, Taichung - MTB

Job Description

Our vision is to transform how the world uses information to enrich life for all. Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate and advance faster than ever.Senior Process Analysis EngineerAs a Senior Process Analysis Engineer in Micron’s Automation Development group at Taiwan Taichung, you will play a critical role within the Process and Process Integration team to enhance inline defense line effectiveness, improve process control capability, and prevent yield-related excursions through data-driven and AI-enabled solutions.You will take ownership of issue investigation, root cause analysis, Design of Experiments (DOE), and Continuous Improvement Programs (CIP) for critical materials and manufacturing processes. In addition, you will collaborate with cross-functional teams to integrate advanced process control methodologies, AI-assisted analytics, and digital solutions into process flows supporting next-generation high-density memory products.Job ResponsibilitiesLeverage AI-assisted and AI-enabled technologies to improve manufacturing intelligence and decision-making, including applications in Statistical Process Control (SPC), Fault Detection and Classification (FDC), Automated Defect Classification (ADC), Internet of Things (IoT), and Data Analytics (DA).Apply AI-supported analytical approaches to identify process variations, improve inline defense line effectiveness, and accelerate root cause investigation and yield learning.Collaborate with internal and external partners, including Process Engineering, Failure Analysis, Quality, and Manufacturing teams, to correlate Defense Line (DL) signals with product performance and develop knowledge databases (KDB) for systematic learning and issue prevention.Partner with Data Intelligence (DI) teams to develop and deploy AI-assisted applications, digital monitoring solutions, and predictive analytics tools that enhance product quality, process robustness, and manufacturing efficiency.Utilize AI-assisted tools to support technical research, data analysis, problem-solving, content generation, and operational excellence initiatives relevant to semiconductor manufacturing.Drive continuous improvement projects by leveraging artificial intelligence, advanced analytics, and automation technologies to reduce process variability and improve yield performance.Communicate technical findings and project progress effectively to stakeholders across global and site teams.Job RequirementsBachelor's degree or above in Engineering, Materials Science, Electrical Engineering, Computer Science, Data Science, or related disciplines.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 apply AI-assisted tools, advanced analytics, or digital solutions to support engineering, manufacturing, quality improvement, or operational activities.Strong communication, stakeholder management, and presentation skills.Conversational English proficiency with TOEIC score of 650 or above.Self-motivated, collaborative, and capable of working effectively in cross-functional and global environments.About Micron Technology, Inc.We are an industry leader in innovative memory and storage solutions transforming how the world uses information to enrich life for all. With a relentless focus on our customers, technology leadership, and manufacturing and operational excellence, Micron delivers a rich portfolio of high-performance DRAM, NAND, and NOR memory and storage products through our Micron® and Crucial® brands. Every day, the innovations that our people create fuel the data economy, enabling advances in artificial intelligence and 5G applications that unleash opportunities — from the data center to the intelligent edge and across the client and mobile user experience.To learn more, please visit micron.com/careersAll qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status.To request assistance with the application process and/or for reasonable accommodations, please contact at hrsupport_taiwan@micron.com. Micron Prohibits the use of child labor and complies with all applicable laws, rules, regulations, and other international and industry labor standards.Micron does not charge candidates any recruitment fees or unlawfully collect any other payment from candidates as consideration for their employment with Micron.AI alert: Candidates are encouraged to use AI tools to enhance their resume and/or application materials. However, all information provided must be accurate and reflect the candidate's true skills and experiences. Misuse of AI to fabricate or misrepresent qualifications will result in immediate disqualification. Fraud alert: Micron advises job seekers to be cautious of unsolicited job offers and to verify the authenticity of any communication claiming to be from Micron by checking the official Micron careers website in the About Micron Technology, Inc.

Locations

  • Taiwan, Taichung - MTB

Skills Required

  • data-driven decision-makingintermediate
  • data analysis platformsintermediate
  • TOEIC score of 650intermediate

Required Qualifications

  • Bachelor's degree or above in Engineering, Materials Science, Electrical Engineering, Computer Science, Data Science, or related disciplines. (degree in above in engineering)
  • Strong analytical and problem-solving skills with experience in data-driven decision-making. (experience)
  • Familiarity with data analysis platforms, statistical software, AI-assisted analytical tools, or digital manufacturing applications. (experience)
  • Demonstrated ability to apply AI-assisted tools, advanced analytics, or digital solutions to support engineering, manufacturing, quality improvement, or operational activities. (experience)
  • Strong communication, stakeholder management, and presentation skills. (experience)
  • Conversational English proficiency with TOEIC score of 650 or above. (experience)
  • Self-motivated, collaborative, and capable of working effectively in cross-functional and global environments. (experience)
  • Bachelor's degree or above in Engineering, Materials Science, Electrical Engineering, Computer Science, Data Science, or related disciplines. (degree in above in engineering)
  • Strong analytical and problem-solving skills with experience in data-driven decision-making. (experience)
  • Familiarity with data analysis platforms, statistical software, AI-assisted analytical tools, or digital manufacturing applications. (experience)
  • Demonstrated ability to apply AI-assisted tools, advanced analytics, or digital solutions to support engineering, manufacturing, quality improvement, or operational activities. (experience)
  • Strong communication, stakeholder management, and presentation skills. (experience)
  • Conversational English proficiency with TOEIC score of 650 or above. (experience)
  • Self-motivated, collaborative, and capable of working effectively in cross-functional and global environments. (experience)

Responsibilities

  • Leverage AI-assisted and AI-enabled technologies to improve manufacturing intelligence and decision-making, including applications in Statistical Process Control (SPC), Fault Detection and Classification (FDC), Automated Defect Classification (ADC), Internet of Things (IoT), and Data Analytics (DA).
  • Apply AI-supported analytical approaches to identify process variations, improve inline defense line effectiveness, and accelerate root cause investigation and yield learning.
  • Collaborate with internal and external partners, including Process Engineering, Failure Analysis, Quality, and Manufacturing teams, to correlate Defense Line (DL) signals with product performance and develop knowledge databases (KDB) for systematic learning and issue prevention.
  • Partner with Data Intelligence (DI) teams to develop and deploy AI-assisted applications, digital monitoring solutions, and predictive analytics tools that enhance product quality, process robustness, and manufacturing efficiency.
  • Utilize AI-assisted tools to support technical research, data analysis, problem-solving, content generation, and operational excellence initiatives relevant to semiconductor manufacturing.
  • Drive continuous improvement projects by leveraging artificial intelligence, advanced analytics, and automation technologies to reduce process variability and improve yield performance.
  • Communicate technical findings and project progress effectively to stakeholders across global and site teams.
  • Leverage AI-assisted and AI-enabled technologies to improve manufacturing intelligence and decision-making, including applications in Statistical Process Control (SPC), Fault Detection and Classification (FDC), Automated Defect Classification (ADC), Internet of Things (IoT), and Data Analytics (DA).
  • Apply AI-supported analytical approaches to identify process variations, improve inline defense line effectiveness, and accelerate root cause investigation and yield learning.
  • Collaborate with internal and external partners, including Process Engineering, Failure Analysis, Quality, and Manufacturing teams, to correlate Defense Line (DL) signals with product performance and develop knowledge databases (KDB) for systematic learning and issue prevention.
  • Partner with Data Intelligence (DI) teams to develop and deploy AI-assisted applications, digital monitoring solutions, and predictive analytics tools that enhance product quality, process robustness, and manufacturing efficiency.
  • Utilize AI-assisted tools to support technical research, data analysis, problem-solving, content generation, and operational excellence initiatives relevant to semiconductor manufacturing.
  • Drive continuous improvement projects by leveraging artificial intelligence, advanced analytics, and automation technologies to reduce process variability and improve yield performance.
  • Communicate technical findings and project progress effectively to stakeholders across global and site teams.

Target Your Resume for "Process Analysis Engineer" , Micron Technology

Get personalized recommendations to optimize your resume specifically for Process Analysis Engineer. Takes only 15 seconds!

AI-powered keyword optimization
Skills matching & gap analysis
Experience alignment suggestions

Check Your ATS Score for "Process Analysis Engineer" , Micron Technology

Find out how well your resume matches this job's requirements. Get comprehensive analysis including ATS compatibility, keyword matching, skill gaps, and personalized recommendations.

ATS compatibility check
Keyword optimization analysis
Skill matching & gap identification
Format & readability score

Tags & Categories

GeneralGeneral

Answer 10 quick questions to check your fit for Process Analysis Engineer @ Micron Technology.

Quiz Challenge
10 Questions
~2 Minutes
Instant Score

Related Books and Jobs

No related jobs found at the moment.