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Explore Rimi Dasgupta, Synopsys & Vidya Neerkundar, Siemens | GSA Women's Leadership Initiative 2026 with 8,865 views, 122 likes, and 0 comments. Experience the impact of this video content that has captured audience attention.

In this interview from the GSA Women's Leadership Initiative 2026, Rimi Dasgupta, chief of staff for product management and markets at Synopsys, joins Vidya Neerkundar, director of product management at Siemens Digital Industries Software, to talk with theCUBE's John Furrier and Alison Kosik about how AI is transforming electronic design automation. Dasgupta explains how AI has shifted from a productivity assistant to an embedded layer across chip design flows, pointing to 50x faster RTL-to-verification closure and 40% less debug time. Neerkundar highlights how AI now parses log files, flags errors and compresses design cycles from 18 months down to 6-9 months, fueling rising demand for custom silicon built around specific workloads. The conversation explores why human judgment remains essential even as agents take on more of the design workload, with engineers setting intent, constraints and system-level orchestration while AI handles recurring tasks like test bench generation and design exploration. Dasgupta draws a distinction between AI's probabilistic nature and the deterministic requirements of chip design, noting that experienced engineers get outsized productivity gains because they know how to validate AI-generated results. Both guests touch on the challenge of protecting proprietary design data while partnering with frontier labs, including a new collaboration between Synopsys and OpenAI. They also unpack how multi-die and chiplet architectures are pushing EDA workflows toward system-level thinking earlier in the process, factoring in packaging, interconnects and multiphysics effects like warpage and thermal stress. Looking ahead, Dasgupta and Neerkundar agree that the next generation of chip engineers must treat AI fluency as a core skill, feeding systems more data to build reusable intelligence as design moves toward increasingly autonomous workflows. Find more SiliconANGLE news and analysis https://siliconangle.com/ Follow theCUBE's wall-to-wall event coverage https://siliconangle.com/events/ Learn about the latest theCUBE events https://www.thecube.net/ 00:00 - EDA Leaders on AI-Driven Chip Design and Verification 02:03 - Custom Silicon Demand Shortens Design Cycles 05:12 - AI for Design Validation and Exploration 09:43 - Engineering Judgment and Trustworthy AI Results 12:47 - Semiconductor Knowledge and Specialized Design Data 15:54 - Secure Multiphysics Modeling With Frontier AI Partners 18:21 - AI and Chiplets Transform Chip Design Workflows 22:50 - The Future of Semiconductor Testing and Design #theCUBE #GSAWomensLeadershipInitiative #theCUBEresearch #Synopsys #Siemens #Semiconductors #AI

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