【2026 TSMC Campus Recruitment】Intelligent Manufacturing Engineer (IMC/MFG)

台灣積體電路製造股份有限公司(台積電)

221個職缺
  • 全職

面議(經常性薪資達4萬元或以上)

  • 大學以上

新竹縣 寶山鄉

  • 需求人數

    不限
  • 到職日期

    不限
  • 更新日期

工作內容

職缺描述

【本職缺僅接受台積電官方網站投遞】 請至台積電官方網站投遞個人履歷表,此職缺履歷登錄網址: https://careers.tsmc.com/careers/JobDetail?jobId=19040&source=1111&tags=Domestic+Campus+2026_1111 Established in 1987 and headquartered in Taiwan, TSMC pioneered the pure-play foundry business model with an exclusive focus on manufacturing its customers’ products. As of 2024, TSMC serves more than 500 customers and manufactures over 11,000 products for high-performance computing, smartphones, the Internet of Things (IoT), automotive, and digital consumer electronics. It is the world’s largest provider of logic ICs, with an annual capacity of 16 million 12-inch equivalent wafers. TSMC operates fabs in Taiwan as well as manufacturing subsidiaries in Washington State, Japan and China, and the Company began construction on a specialty technology fab in Dresden, Germany, in 2024. In Arizona, TSMC is building three fabs, with the first starting 4nm production in 2025, the second by 2028, and the third by the end of the decade. 智慧製造工程師為創造晶圓產出最大化,滿足客戶交期,為公司帶來營收;身為工廠的第一線管理者,需掌握生產流程,藉由良好且精準派工提升機台生產效率,帶領技術員團隊確保製造流程順暢運行並達成每日的產能目標。 As a global semiconductor technology leader, TSMC is seeking an Intelligent Manufacturing Engineer to join our team. Our commitment to driving manufacturing excellence has led us to integrate artificial intelligence, machine learning, expert systems, and advanced algorithms to build up an intelligent manufacturing environment. Join TSMC, we are the most advanced technology team and connect with the world, as we head towards an unlimited future. We look forward to you joining us! You will be assigned to one of the following five roles according to your interest, experiences, and technical background. 1. MFG Intelligent Manufacturing Engineer As an Intelligent Manufacturing Engineer, you will be responsible for the development and maintenance of these intelligent manufacturing systems, which are widely used for scheduling and dispatching, employee productivity, equipment productivity, process and equipment control, quality defense, and robotic control. By optimizing quality, productivity, efficiency, and flexibility, you will play a crucial role in driving the success of our manufacturing operations. (1) Smart manufacturing engineers will learn leading artificial intelligence manufacturing technologies worldwide. (2) Big data analysis, improving production efficiency: Through data analysis, identify bottleneck machines and improve machine production efficiency. Breakthrough analysis and dispatching project system, optimize production resources and maximize manufacturing efficiency. (3) Machine learning, creating unlimited possibilities: Utilize cutting-edge machine learning technology to improve the production process and create innovative applications that achieve optimal scheduling and maximize wafer production capacity. 2. CIM Intelligent Manufacturing Engineer (1) Software Developers: Design and develop intelligent manufacturing solutions for factory automation, manufacturing scheduling and dispatching, decision making and engineering analysis. (2) Dispatching Algorithm Developers: Heterogeneous data integration and corresponding solution design and development. (3) Quality Management Engineer: Server maintenance and related setting support including routine upgrades, troubleshooting with AP teams, high-availability architecture, virtual machines solutions, firewall rule, IIS, Nginx, database middle etc. 3. Data Analyst & Data Scientist (1) Application of statistics, machine learning, data mining, pattern recognition and other data analysis by AI techniques. (2) Your main responsibility will be to collect, explore, and extract insights from very large scale structured and unstructured data and explain these insights with the help of data visualization tools to support fab operations. 4. AMHS (Automated Material Handling System) Engineer (1) AMHS (Software) system & AI development/(Hardware) layout design & transport simulation. (2) Enhance System Performance, Quality and Reliability. (3) Coordinate cross-organization AMHS projects. 5. PIDS/WAT (Wafer Acceptance Test) Engineer (1) New WAT tool data matching and release. (2) WAT quality/manufacturing efficiency improvement. (3) WAT tool, recipe, and system management. (4) WAT productivity and quality improvement. (5) WAT tool and systematic issue troubleshooting. 6. PIDS/NTO (New Tape Out) Engineer (1) Handle mask tape out and manufacturing flow creation. (2) Manage projects related to NTO system development and enhancement. 7. Quality Management Engineer (1) Manage audit, defense, and quality systems. (2) To perform data analysis and simulation. Fostering a global inclusive workplace reflects TSMC’s core values and business philosophy and is essential for our future success. Our commitment to global inclusive workplace allows us to create an environment where every employee, regardless of gender, age, disability, religion, race, ethnicity, nationality, political affiliation, or sexual orientation, can bring their unique perspective and experiences to work, enabling us to drive profitability, increase productivity, and unleash innovation. We strive to create a workplace that is equitable and accessible to all employees. We are committed to fostering an inclusive culture where every employee feels valued and empowered to contribute to our mission and provide excellent service to our global customers.

收合內容

工作待遇

面議 (經常性薪資達4萬元或以上)

查看薪資水平

職務類別

  • 半導體工程師

工作性質

  • 全職

工作時間

  • 日班

休假制度

  • 週休二日

工作地點

新竹縣 寶山鄉 (新竹科學園區)

要求條件

學歷要求

  • 大學以上

工作經驗

不拘

外語能力

  • 英文 聽| 精通、 説| 精通、 讀| 精通、 寫| 精通

工作技能

不拘

附加條件

General Requirements: 1. Self-motivated, integrity and result-oriented personality. 2. Great communication skills. 3. Ability to speak and write in English is a plus. 4. Bachelor‘s degree or above in Engineering or related fields. 5. Obtaining certification from TSMC Semiconductor Intelligent Manufacturing Program is an advantage , please refer to the Link: https://careers.tsmc.com/education/SearchPrograms 1. MFG Intelligent Manufacturing Engineer (1) Teamwork, and text expression ability. (2) Basic programming languages (such as C++, SQL, etc.). 2. CIM Intelligent Manufacturing Engineer (1) Bachelor‘s degree or above in Computer Science, Information Engineering, Industrial Engineering, Statistics, Mathematics or related fields. (2) Familiarity in programming languages (C/C++/C#, Java, HTML5, SQL, VBA). (3) Experience and skill in optimization, scheduling and A.I. is a plus. (4) Experience and skill in system infrastructure architecture is a plus (e.g. VMWare, Linux/MS solution, Nginx, K8S/Docker etc.). 3. Data Analyst & Data Scientist (1) Master‘s degree or above in Computer Science, Information Engineering, Industrial Engineering, Statistics, Mathematics or related fields. (2) Experience with analytics packages and program development using Python, R, SAS, Matlab, C/C++/C# and Java etc. (3) Strong background in data analytics (applied statistics, operation research, data mining, machine learning, artificial intelligence) and big data technologies. 4. AMHS (Automated Material Handling System) Engineer (1) Master’s degree and above, major in Computer Science, Information Management, Mechanical Engineering, Electrical Engineering or Industrial Engineering. (2) Familiar with factory automation design and transport simulation. (3) Familiar with development of C#, C/C++, Python, JAVA, PLC, OPC Programming. (4) Familiar with AutoCAD, Database and SQL Programming, Machine Learning. 5. PIDS/WAT (Wafer Acceptance Test) Engineer (1) Master‘s degree in Science, Electrical Engineering or related fields. (2) Familiarity with Unix/C++/VBA, device physics and tool release procedure is preferred. 6. PIDS/NTO (New TapeOut) Engineer (1) Master‘s degree in a science-related field. (2) Basic knowledge of semiconductors and processes related. 7. Quality Management Engineer (1) Familiarity with semiconductor manufacturing and data analysis. (2) Experience in 300mm Fab module operation is preferred. (3) Conduct data analysis using Excel VBA and R. (4) Ability to programming is preferred.

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【本職缺僅接受台積電官方網站投遞】請至台積電官方網站投遞個人履歷表,此職缺履歷登錄網址:https://careers.tsmc.com/careers/JobDetail?jobId=19040&source=1111&tags=Domestic+Campus+2026_1111

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