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. • Leverage AI-enabled and AI-assisted work methods, including Microsoft Copilot, Generative AI, and advanced analytics tools, to improve equipment utilization, yield performance, alarm code analysis, parts lifetime prediction, and manufacturing efficiency . • Utilize AI-powered data analysis to identify equipment performance gaps, predict equipment failures, optimize preventive maintenance strategies, and reduce unplanned downtime. • Apply AI-assisted troubleshooting techniques to accelerate root cause analysis of equipment alarms, process excursions, and yield loss mechanisms. • Familiar with TCB/DB process and possesses a minimum of 5 years of semiconductor equipment engineering experience . • Identify, diagnose, and resolve assembly equipment related issues utilizing data-driven and AI-supported methodologies. • Coordi nate and execute process, equipment, and material evaluations, leveraging AI insights to optimize manufacturing performance and quality. • Lead and participate in utilization improvement, yield enhancement, cost reduction, and smart manufacturing initiatives through automation and AI technologies. • Validate and qualify new processes
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Role overview
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.
Responsibilities
- Analyze inline/param/probe/DOE data to identify yield detractors and drive continuous improvement.
- Apply semiconductor device physics, process knowledge, and statistical tools to troubleshoot yield issues.
- Collaborate with module engineering teams to diagnose process/tool‑related yield variation and ensure timely resolution.
- Lead or participate in cross‑functional task forces to solve complex yield, defect, or process integration challenges.
- Perform root‑cause analysis using FMEA, 8D, SPC, and other structured methodologies.
- Publish clear Pareto analyses and maintain dashboards for assigned product lines.
- Support new technology transfer, process baseline setup, and qualification activities.
- Partner with equipment engineering, shift engineering, and quality teams to address long‑term defect or excursion issues.
- Conduct material, process, and equipment evaluations and recommend optimization strategies.
- Ensure product performance meets design and reliability requirements and propose corrective actions when gaps exist.
- Leverage AI-Enabled and AI-Assisted solutions, including Copilot, YMS Genie, Agentic AI, AI Agents, and Large Language Models (LLMs), to accelerate yield analysis, automate engineering workflows, summarize insights, and enhance diagnostic efficiency.
- Develop and maintain Tableau dashboards and visualization solutions to monitor yield performance, detect abnormal trends, and provide actionable insights for engineering teams.
Required Qualifications
- Minimum 2 years of experience in semiconductor manufacturing, yield engineering, process engineering, or related electronics industries.
- Bachelor’s or Master’s degree in Physics, Optoelectronics, Electrical Engineering, Materials Science, Chemistry, Mathematics, or related fields.
- Experience in memory process, device engineering, or product/design analysis.
- Strong analytical skills with the ability to make data‑driven decisions; experience with statistical or scripting tools (e.g., JMP, Python, SQL).
- Excellent communication, problem‑solving capability, and self‑learning ability.
- Ability to work effectively in a fast‑paced production environment with strong ownership.
- Willingness to support weekend or holiday on‑call duties when required.
- Experience applying Artificial Intelligence, AI Assistants, Agentic Solutions, Code Assist, or Large Language Models (LLMs) to improve engineering productivity, data analysis, automation, and problem-solving effectiveness.
- Experience with data visualization and engineering analytics tools (e.g., Tableau, Power BI, JMP, or equivalent platforms) for yield monitoring, trend detection, and engineering decision-making.
Preferred Qualifications
- Practical experience in automation, machine learning, or AI‑driven analysis for yield or manufacturing applications.
→ This aligns with industry trend toward advanced analytics and automation. - Familiarity with SPC, DOE, FDC/EDA, defect inspection, or inline metrology tools often used in semiconductor fabs.
- Knowledge of memory architecture (DRAM/NAND) or advanced device physics.
- Experience in technology transfer, cross‑site engineering collaboration, or equipment qualification.
- Project management or technical leadership experience is a plus.
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/careers
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.
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.
What they are looking for
Skills & requirements
Qualification
Minimum 2 years of experience in semiconductor manufacturing, yield engineering, process engineering, or related electronics industries; Bachelor’s or Master’s degree in Physics, Optoelectronics, Electrical Engineering, Materials Science, Chemistry, Mathematics, or related fields
Hiring company
Micron Technology
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