NORMAL EDA + ASICS
The next computing revolution will be enabled by intelligent systems that can reason about the physical world.

Normal Computing was founded in the USA by former members of Google Brain and Google X who helped pioneer AI for the physical world, and developed the leading ML frameworks for Probabilistic and Quantum AI.

The infrastructure powering AI models was never designed with today’s scale, complexity, or energy demands in mind. Today's general-purpose architectures underutilize the physical potential of the hardware itself.

By aligning hardware design with the intrinsic properties of physical systems, we can transform efficiency. We believe that exploring the limits of new and custom silicon, including those which optimize their own physics, requires the help of AI, better EDA software, and ultimately the realization of a virtuous cycle of self-improving AI hardware.

We deliver our software and hardware with the largest semiconductor design and manufacturing institutions, a responsibility which entails individual ownership and deep partnership. We are a diverse, lean team of the world's best engineers, scientists, and operators, with offices in New York City, San Francisco, London, and Copenhagen.

Read our Whitepaper
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MEET THE TEAM
A collective of visionary experts redefining computing efficiency.
INvestors
Our world-class investors who believe in our vision. Their expertise and support help us push the boundaries of AI and computing.
INVESTOR
Eric Schmidt
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INVESTOR
First Spark Ventures
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INVESTOR
Drive Capital
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INVESTOR
Celesta Capital
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CAREERS
The Normal Team builds foundational software and hardware that help move technology forward - supporting the semiconductor industry, critical AI infrastructure, and the broader systems that power our world. We work as one team across New York, San Francisco, Copenhagen, and London.
Software Engineer, Full Stack
New York City, San Fransisco
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Digital Verification Engineer
New York City
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Grace Hong
Special Projects Resident
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Brandon Birchall
Design Digital Engineer
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Nicholas Lehter
IC Design Engineer
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Marcus Edwards
Machine Learning Engineer
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Hrolfur Eyjolfsson
AI Engineer
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Travorn Mahadeo
MBA Intern
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Yao Yin
AI Resident
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Ben Koopman
Staff Software Engineer
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Chris Sreesangkom
Senior Software Engineer
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Maxim Khomiakov
Senior AI Engineer
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Doyun Kim
Senior AI Engineer
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Rob Brekelmans
Senior ML Researcher
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Cameron Wendt
Head of Communications
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Paul Gralla
AI Engineer
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Sean Hackett
Silicon Project Manager
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Peter Deaville
Mixed Signal Design Engineer
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Marc Bright
Staff Physical Design Engineer
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Isaac Miller
ML Engineer
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Cody Austin
Senior Technical Recruiter
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Sammer Richi
Business Operations Lead
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Steve Fu
Board Director
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Nicolas Martyanoff
Software Platform Lead
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Zach Belateche
Silicon Engineering Lead
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Vi Tran
Special Projects Manager
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Vincent Cheung
Staff Analog Design Engineer
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Vassilios Kaxiras
AI Resident
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Thomas Ahle
Machine Learning Lead
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Suhaas Bhat
AI Resident
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Sam Duffield
Senior Research Scientist
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Rajath Salegame
Machine Learning Engineer
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Patrick Coles
Chief Scientist
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Mengdi Chen
Staff Software Engineer
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Maxwell Aifer
Senior Research Scientist
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Maximos Lih
People Advisor
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Lingjie Feng
Software Engineer
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Matthias Tan
Co-Founder
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Julien Dessaux
Senior DevOps Engineer
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John Ferneborg
Talent Advisor
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Faris Sbahi
Co-Founder, CEO
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Gavin Crooks
Staff Research Scientist
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Dmitri Saberi
Machine Learning Engineer
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Chloe Glasgow
Head of Talent
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Denis Melanson
Senior Research Scientist
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Anastasia Marchenkova
Evangelism Lead
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Antonio Martinez
Co-Founder
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Amy Blume
Executive Business Partner
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