(2025 Campus Recruitment) Intelligent Manufacturing Engineer (IMC/MFG)

Job Responsibilities

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 TapeOut) Engineer

(1) Handle mask tapeout 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.

Job Qualifications

1. Master’s degree or above in engineering or scientific field such as Materials Science, Engineering, Electrical Engineering, Chemical Engineering, Mechanical Engineering, Physics, Chemistry or Optics.

2. Solid technical understanding of IC processing equipment, integrated flow, chemistry and physics.

3. Exhibit good and open communication skills, be able to work within cross-functional teams, including internal and external partners.

4. Fluent in English.

5. Strong knowledge of Statistical Process Control (SPC) and/or Design of Experiments (DOE) principles.

6. Flexibility in changing priorities and responsibilities to support business needs.

7. Hands-on participation and a strong sense of ownership.

8. Willingness to make frequent fab presence.

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.