Facilities AI/ML Engineer

A job at TSMC Arizona offers an opportunity to work at the most advanced semiconductor fab in the United States. TSMC Arizona’s first fab will operate it’s leading-edge semiconductor process technology (N4 process), starting production in the first half of 2025. The second fab will utilize its leading edge N3 and N2 process technology and be operational in 2028. The recently announced third fab will manufacture chips using 2nm or even more advanced process technology, with production starting by the end of the decade. America’s leading technology companies are ready to rely on TSMC Arizona for the next generations of chips that will power the digital future.

As a Facilities AI/ML Engineer, you will demonstrate a strong sense of reliability and enthusiasm and will possess an attitude that embodies our core values – Integrity, Commitment, Innovation and Customer Trust.

As the Facilities Artificial Intelligence/Machine Learning Engineer, you will play a pivotal role in supporting the digital transformation of our facilities using AI and Machine Learning. You will support the automation of tasks, optimize resource utilization, and improving decision making through data analysis.

Key Responsibilities:

Automation and Efficiency:

• PM Scheduling and Work Order Allocation: Automating the scheduling of preventative maintenance tasks and the allocation of work orders based on real-time data and predictive analytics.

Predictive Maintenance and Asset Management:

• Use AI algorithms to identify risks of equipment breakdown by analyzing historical data and real-time sensor data, enabling proactive maintenance and minimizing downtime.

Data Analysis:

• Leverage large amounts of data to provide real-time insights into factory operations, including system performance, energy consumption, and maintenance logs to improve decision-making and preventive maintenance strategies.

Facility Digital Transformation

• Through information integration and big data analysis/AI technology you will help the Facilities Department complete a digital transformation, making factory information more open and transparent.

Minimum Qualifications:

• Masters’s degree or higher in Electrical Engineering, Computer Science, Data Science, Artificial Intelligence, Machine Learning, Natural Language Processing, Generative AI or related field.

Preferred Qualifications:

• Experience with industrial automation systems including PLC, SCADA, and DDC is highly desirable.
• Knowledge of computer applications, FMCS, BMS, and CMMS programs, and relevant certifications including ISA is preferred.

Candidates must be willing and able to work on-site at our Phoenix Arizona facility.

As a valued member of the TSMC family, we place a significant focus on your health and well-being. When you are at your best-physically, mentally, and financially-our company is at its best. We offer a comprehensive and competitive benefits program that provides the resources you need to help you manage your health and achieve your goals across many areas of your life. This includes a variety of medical, dental and vision plan offerings you can choose from that best fit your and your family’s needs. Additionally, TSMC provides income-protection programs to financially assist you should you experience an injury or illness, and a 401(k)-retirement savings plan to help you secure your financial future. TSMC also offers competitive paid time-off programs and paid holidays allowing you to recharge and spend time with your family and loved ones.

Work Location: Phoenix, AZ

Travel: Depend on business needs

TSMC is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. All qualified applicants will receive consideration for employment without regard to race, color, religion, age, sex, sexual orientation, gender identity, national origin, disability, veteran status, or any other protected characteristic. We encourage all qualified individuals to apply, and we welcome applications from individuals with diverse backgrounds and experiences. Candidates must be able to perform the essential functions of the job with or without a reasonable accommodation. If you need a reasonable accommodation as part of this application process, please contact P_LOA@tsmc.com.

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