Hiring: R&D AI & Intelligent Tool Development Engineer, Joint Development Modules (7735) Company: TSMC Location: San Jose, CA Job Posted Time: 2026-09-17 09:26:00 Employment Type: Hybrid Target Skills & Keywords : Foundry, LLM, Machine Learning, R, Reinforcement Learning About the job Experience: •10 years of experience and a Ph.D. in a STEM field (such as EE, ME, Physics, Chemistry, Materials Science, or Data Science) with a specialization in AI/ML, Process Modeling, PIML, Reinforcement Learning, or LLM applications for industrial automation Required Skills: •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. •The world’s leading dedicated semiconductor foundry •The technology leader with a strong reputation for manufacturing excellence •Advancing semiconductor manufacturing innovations to enable the future of technology Qualifications: •2–10 years of experience and a Ph.D. in a STEM field (such as EE, ME, Physics, Chemistry, Materials Science, or Data Science) 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. •Strong cross-functional communication and negotiation skills to effectively collaborate with external supplier executives and internal TSMC R&D teams. •A thriving mindset in an ambiguous, fast-paced, "pre-alpha" R&D environment. Interested candidates, please apply directly through the job posting on company's career page or try via AI auto apply on this platform. Don't miss this opportunity to join a forward-thinking team!