AI Optimization Manager

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.

As an AI Optimization Manager within the AI4BI division of TSMC's Corporate Planning Organization (CPO), you will serve as a technical lead, spearheading efforts in optimization and automation to revolutionize CPO business processes. Your work will span from automation and data analytics to business intelligence.

Job Responsibilities:

1. Digital Transformation and Solution Optimization: Identify and capitalize on opportunities for digital transformation in CPO business processes, such as capacity planning, business forecasting, and operational optimization. Frame and solve a broad spectrum of problems, such as demand-supply matching, scheduling, and operational efficiency, using advanced optimization algorithms.

2. Research and Strategy Development: Lead in researching, developing strategies, and creating roadmaps that incorporate new AI/ML, business intelligence, and intelligent automation technologies. Foster collaborations with universities and industry partners to advance the AI4BI agenda, while also spearheading the creation of patent applications and contributing to technical publications, thereby enhancing TSMC's reputation in AI/ML innovation.

3. Leadership and Collaboration: Lead the AI/ML team and collaborate with cross-functional teams to drive or co-drive the initial ideation, development, and deployment of innovative solutions. Mentor and guide a team of AI/ML scientists and data engineers, fostering a collaborative and high-performance culture.

4. Project and Stakeholder Management: Interact and engage with IT/business stakeholders, user executives, technical leads, and partners to manage project scope, priorities, deliverables, risks/issues, and timelines. Effectively communicate to ensure alignment and success, ultimately delivering successful implementations of AI application.

Job Qualifications:

Experience Requirements:

1. Practical Experience: Demonstrated experience in developing and deploying large-scale optimization solutions is essential.

2. Technical Expertise: Proficiency in optimization techniques, including but not limited to graphs, linear programming, mixed-integer programming, non-linear optimization, and convex optimization.

3. Application Knowledge: Extensive experience in optimization applications such as supply chain management and process optimization.

4. Preferred Work Experience: 10 years.

Qualification:

1. Educational Qualifications: PhD or Master's degree in Computer Science, Electrical Engineering, Information Management, Industrial Engineering, Operations Research, Mathematics, or a related technical field, or equivalent practical experience.

2. Digital Transformation Insight: Strong understanding and/or experience in digital transformation, including business process transformation, integration, and automation, is preferred.

3. Industry Knowledge: Extensive domain knowledge in semiconductor manufacturing or general manufacturing is considered a significant advantage.

4. AI Application Awareness: Well-versed in the latest AI-based applications and technologies.

5. Technical Skills: Proficiency in Python programming and experience with common AI/ML frameworks (e.g., TensorFlow and PyTorch) is essential.

6. Core Competencies: Exceptional organizational, analytical, and influencing abilities.

7. Demonstrated enthusiasm for initiatives and a results-driven mindset.

Languages:

Fluent in Mandarin and English.

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.