AI & Data Analysis Engineer (Dept: AQSD, Div: IMC)

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.

Advanced Quality System Development (AQSD) is part of TSMC's Intelligent Manufacturing Center (IMC), responsible for three main directions:

1. Use statistical methods and conditional monitoring to inspect fab control charts, providing early warning of abnormal product yields; offer a fab defense system settings comparison platform to check that machines meet the internal control anomaly conditions set by the engineering department.
2. Develop online fab analysis platforms through Big Data, Machine Learning, and Deep Learning techniques for online yield/defect analysis to ensure the quality of wafers produced in the fab.
3. Develop systems and provide logical operations to control and implement escape mechanisms for material batch changes, measurement stages, and inspection stages, ensuring quality and optimizing product sampling rules.

Responsibilities:

1. Apply machine learning/optimization algorithm to build up models for optimizing semiconductor production.
2. Develop analysis and optimization methods to enhance product quality, increase tool productivity and improve people productivity.
3. Design, develop and test prediction models with real applications in manufacturing.
4. Build a flexible framework to speed up the development process of AI models, with a focus on Large Language Models (LLMs) serving.
5. Turn exciting AI prototypes/ideas into products, leveraging LLMs and other advanced AI technologies.
6. Develop next-generation AI backend systems related to large-scale real-time data access, collection, analytics and monitoring.
7. Establish and maintain MLops processes and tools, including model deployment, monitoring, and automation.
8. Continuously improve the quality of AI production systems, particularly those utilizing LLMs.

1. Master's Degree or above in an engineering field such as Mechanical Engineering, Electrical Engineering, Industry Engineering, Engineering Management, Computer science, Information Engineering.
2. Exhibit good and open communication skills, be able to work within cross-functional teams, including internal and external partners.
3. Fluent in English.
4. No prior work experience needed.
5. Practical or research experiences in machine learning/data science/data engineering/LLM preferred.
   

Work Location: Longtan, Hsinchu, Taichung, Tainan

On-Call Needs:
Newcomers do not need to be on duty for the first six months. On call for 1 week every 3 months.

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.