
transcript
show notes
Why do AI chip-design demos look amazing and then stall before production? Tzviel Lemberger, who leads AI activities in Google's Silicon Hardware group, has seen enough of them to draw a hard line. "90% accurate" in an EDA flow isn't a win. It's a respin.
Tzviel brings about 16 years across Marvell, Intel, and Google. In this episode he covers:
- Turning every engineer into an agent developer while central teams build the moonshots
- Why design intent needs to leave engineers' heads so AI can actually use it
- Partnering in the AI era: working with EDA vendors, startups, and domain experts
- AlphaChip and an example case for skipping the LLM using different AI for chip design tasks
- Who owns the bug when AI writes the RTL and the silicon comes back broken
- The open problem: when agents write and run the tests, who's the independent check?
Tzviel ends with a question he thinks about daily, so bring your answer.
Enjoyed it? Rate and review Wearing Flip-Flops, and share it with a chip design or verification engineer who'd appreciate it. Have a topic worth an episode, or want to be a guest? Ping us on Linkedin.
Hosted by Ronen Laviv. Full episode page: wearing-flip-flops.com