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臺灣
Onsite
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.
在美光（Micron），我們打造記憶體與儲存解決方案，驅動著改變世界運作、學習與連結方式的各項技術。我們正在尋找充滿熱忱的人才加入團隊，為半導體產業的成長與創新貢獻心力。身為製程工程師，您將開發、優化並維護半導體製程，持續提升良率、品質、成本效益與生產力；同時解決複雜的技術挑戰，並與設備、整合、製造及供應商團隊跨部門合作。作為美光（Micron）AI 智慧製造生態系的一環，晶圓廠製程工程師會運用 AI 輔助製程監控、SPC/FDC 洞察與資料分析，提升晶圓製造的製程穩定性、良率、品質、成本效益與生產力。
At Micron, we create memory and storage solutions that power the technologies transforming how the world works, learns, and connect. We are looking for passionate individuals to join our team and help drive growth and innovation across the semiconductor industry.
As a Process Engineer, you will develop, optimize, and sustain semiconductor manufacturing processes to continuously improve yield, quality, cost efficiency, and productivity. You will solve complex technical challenges and collaborate cross-functionally with Equipment, Integration, Manufacturing, and Supplier teams to drive operational excellence. As part of Micron’s AI-enabled smart manufacturing ecosystem, Fab Process Engineers leverage AI-assisted process monitoring, SPC/FDC insights, and advanced data analytics to enhance process stability, improve yield and quality, optimize cost efficiency, and maximize manufacturing productivity across wafer fabrication operations.
工作職責（RESPONSIBILITIES）
開發、優化及維護晶圓製造製程，以提升良率、品質、成本效益與生產效率。
推動單站點（Process Step）製程改善與評估。
主導產線持續改善專案。
運用結構系統化方法（FMEA、8D、SPC、FDC）分析良率與缺陷問題。
診斷根本原因，並將生產停機時間降至最低。
運用資料分析預防問題反覆發生。
運用 SPC、FDC 與 APC 追蹤製程表現並偵測製程偏移異常趨勢。
管理製程驗證與製程控制計畫。
確保生產週期、產能與產品品質。
驗證新世代製程技術導入的準備狀況
解決量產擴充階段的技術挑戰
達成新產品導入及產能提升期間的生產目標
與設備、整合、製造及品質團隊合作。
解決影響良率、產能與品質的相關問題。
向利害關係人溝通技術發現與改善建議。
Develop, optimize, and sustain wafer fabrication processes to improve yield, quality, cost efficiency, and manufacturing productivity.
Drive process-step improvement initiatives and process evaluations.
Lead continuous improvement projects within the manufacturing environment.
Apply structured problem-solving methodologies, including FMEA, 8D, SPC, and FDC, to analyze yield excursions and defect-related issues.
Diagnose root causes and minimize production downtime.
Leverage data analysis to prevent recurring issues and improve process stability.
Monitor process performance and identify process drift or abnormal trends using SPC, FDC, and APC.
Manage process qualification activities and process control plans.
Ensure cycle time, production capacity, and product quality objectives are achieved.
Validate readiness for the introduction of next-generation process technologies.
Resolve technical challenges associated with high-volume manufacturing ramp and production scaling.
Achieve manufacturing targets during new product introduction (NPI) and capacity expansion phases.
Collaborate closely with Equipment, Integration, Manufacturing, and Quality teams.
Resolve issues impacting yield, throughput, and product quality.
Communicate technical findings, analyses, and improvement recommendations to stakeholders.
基本要求（MINIMUM REQUIREMENTS）
具相關技術領域之學士學位以上、進階專業證照、同等技術軍職經驗，或其他足以展現相關能力與專業經驗的同等資格。
優先考量科系: 化學工程, 電機工程, 材料科學 , 化學, 物理 , 機械工程, 工業工程
在需要時穿戴個人防護裝備（PPE）與無塵室服裝
Minimum Qualifications
Bachelor's degree or higher in a relevant technical discipline, advanced professional certification, equivalent military technical experience, or an equivalent combination of education, skills, and professional experience demonstrating the required competencies.
Preferred Majors: Chemical Engineering, Electrical Engineering, Materials Science, Chemistry, Physics, Mechanical Engineering, Industrial Engineering, or related technical disciplines.
Willing and able to wear required Personal Protective Equipment (PPE) and cleanroom attire as necessary in a semiconductor manufacturing environment.
基本資格條件（MINIMUM QUALIFICATIONS）
可透過學歷、實習、研究、軍事技術訓練、製造或專業經驗展現
半導體製程開發
製程流程與配方(Recipe)管理
統計製程管制（SPC）與故障偵測與分類（FDC）
根本原因分析（RCA）失效模式與效應分析（FMEA）、8D 問題解決方法
製程及設備特性理解
資料分析與判讀
持續改善能力
技術文件撰寫能力
協作與團隊合作
學習敏捷度與適應力
主動積極與當責
分析思維
注重細節
有效溝通
顧客與利害關係人導向思維
Candidates may demonstrate the following competencies through education, internships, research, military technical training, manufacturing experience, or other relevant professional experience:
Knowledge of semiconductor process development and optimization.
Experience with process flow management and recipe control.
Understanding of Statistical Process Control (SPC) and Fault Detection and Classification (FDC) methodologies.
Familiarity with Root Cause Analysis (RCA), Failure Modes and Effects Analysis (FMEA), and 8D problem-solving techniques.
Understanding of semiconductor process and equipment interactions.
Ability to analyze, interpret, and draw conclusions from technical data.
Strong continuous improvement and problem-solving mindset.
Effective technical documentation and communication skills.
Demonstrated ability to work collaboratively in cross-functional teams.
High learning agility and adaptability in dynamic environments.
Strong sense of initiative, ownership, and accountability.
Analytical and detail-oriented approach to problem solving.
Effective communication and stakeholder management skills.
Customer-focused mindset with a commitment to delivering results.
加分資格條件（PREFERRED QUALIFICATIONS）
具備下列一項或多項經驗：
半導體製程領域（微影、化學氣相沉積 CVD、物理氣相沉積 PVD、擴散、離子植入、蝕刻、化學機械研磨 CMP、濕製程),大量生產, DRAM 開發 , 統計製程管制 （SPC ）, 故障偵測與分類（FDC ）,先進製程控制（APC） ,量測與檢測, JMP 軟體與資料分析 , 機器學習相關知識或應用經驗 ,製程驗證與導入
Preferred Qualifications
Experience or familiarity with one or more of the following is considered a plus:
Semiconductor process engineering, including Lithography, CVD, PVD, Diffusion, Ion Implantation, Etch, CMP, and Wet Process technologies.
High-volume semiconductor manufacturing environments.
DRAM process development and optimization.
Statistical Process Control (SPC), Fault Detection and Classification (FDC), and Advanced Process Control (APC).
Metrology, process monitoring, and defect inspection methodologies.
Data analysis using JMP or similar analytical tools.
Machine learning concepts and their application in manufacturing, process optimization, or fault detection.
Process qualification, process validation, and new technology/process transfers into production.
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.
