Agentic AI for Semiconductor Design and Manufacturing: From Wafer Data Workflows to Intelligent EDA Systems

As semiconductor design and manufacturing evolve into a data-intensive domain, the complexity of devices and variability in processes are driving significant computational demands. This talk introduces a new class of Agentic AI architectures tailored to tackle the challenges of scale, latency, and decision-making in contemporary EDA and fabrication workflows. We will explore multi-agent orchestration strategies for simulation, verification, Design for Manufacturability (DFM), metrology, yield learning, and root-cause analysis, illustrated through real-world industrial case studies. The discussion will highlight system design choices related to data models, storage, and compute pipelines, providing practical insights for innovation in circuits and systems. Attendees will gain actionable strategies to integrate Agentic AI into the complete silicon lifecycle for accelerated progress.

Speaker: Janhavi Giri, NetApp