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公司名稱
台灣積體電路製造股份有限公司
工作地點
台灣
專業領域
製造
職別
工程師/管理師
職務類型
正職
職務張貼日
2024/08/23

Established in 1987 and headquartered in Taiwan, TSMC pioneered the pure-play foundry business model with an exclusive focus on manufacturing its customers’ products. In 2023, the company served 528 customers with 11,895 products for high performance computing, smartphones, IoT, automotive, and consumer electronics, and is the world’s largest provider of logic ICs with 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 its ESMC subsidiary plans to begin construction on a fab in 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.


台積電誠邀您加入全球半導體產業的領導者行列。我們正在進行大規模徵才，
尋找具備高技術專業知識且充滿熱情夥伴，與我們共同創造未來科技的無限可能。
職務說明
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, 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 responsibilities 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. 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. 

5. Quality Management Engineer

(1) Manage audit, defense, and quality systems.
(2) To perform data analysis and simulation.
職務要求
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 any other related field.
(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. 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.

5. 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.

Diversity, Equity and Inclusion (DE&I) reflects TSMC’s core values and business philosophy and is essential for our future success. Our commitment to DE&I 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. To strive to create a workplace that is equitable and accessible to all employees, we also provide reasonable accommodations for qualified individuals with disabilities. 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.