R&D AI Co‑Design Lead for Intelligent Tool Systems

TSMC - Taiwan Semiconductor Manufacturing Company Limited; San Jose (CA); Hybrid; USD 150,000 - 250,000; Full time

Job summary

TSMC in San Jose, CA, is building an on-site AI technical expert team and will operate in a hybrid schedule with four days in‑office. The role centers on accelerating AI‑driven verification and autonomous system development across semiconductor process modules in partnership with US tool suppliers.

You will co‑design next‑generation process chambers, lead intelligent control initiatives, and guide secure Copilot/LLM‑based workflows to shorten R&D to high‑volume manufacturing cycles.

Qualifications

• 2–10 years of experience and a Ph.D. in a STEM field with a specialization in AI/ML, Process Modeling, PIML, Reinforcement Learning, or LLM applications for industrial automation.
• Deep expertise in closed‑loop control theory, sensor fusion, and predictive maintenance algorithms.
• Practical knowledge of Agentic AI, LLM integration, and building Copilot systems within secure engineering environments.
• Understanding of Digital Twin architecture and physics‑based modeling for semiconductor process simulation.

Responsibilities

• Co‑Design & Joint Development: Partner deeply with key US tool suppliers to drive the engineering, architecture, and design of pre‑alpha and next‑generation process chambers and hardware systems.
• Intelligent Control & Performance: Lead the development of in‑situ sensor fusion and closed‑loop control systems to optimize tool performance. Drive initiatives for tool‑to‑tool matching and predictive health monitoring to achieve superior cost efficiency and ESG targets.
• Agentic AI & Digital Twin: Architect Agentic AI capabilities via secure infrastructure to automate complex engineering workflows, enabling autonomous execution. Develop Digital Twin strategies to dramatically shorten the cycle from R&D to high‑volume manufacturing (HVM).
• Cross‑Module Collaboration: Interface with R&D headquarter module teams to deliver robust AI‑driven modeling, intelligent control, and autonomous execution on supplier sites.
• Technical Leadership: Act as the on‑site TSMC AI technical expert in California, guiding supplier software and data engineering teams to align with TSMC’s aggressive technology roadmap.

Skills

Closed-loop control

Sensor fusion

Predictive maintenance

Agentic AI

LLM integration

Digital Twin modeling

Education

PhD in STEM

AI/ML specialization

Process Modeling

Reinforcement Learning

LLM applications for industrial automation

Job description

TSMC in San Jose, CA, is building an on-site AI technical expert team and will operate in a hybrid schedule with four days in‑office. The role centers on accelerating AI‑driven verification and autonomous system development across semiconductor process modules in partnership with US tool suppliers.

You will co‑design next‑generation process chambers, lead intelligent control initiatives, and guide secure Copilot/LLM‑based workflows to shorten R&D to high‑volume manufacturing cycles.