Normal Computing
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AI for our most pressing crises in silicon.
Normal is rethinking semiconductors from the ground up.
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.
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.
Recently Posted Jobs at Normal Computing
Normal Computing Offices
Hybrid Workspace
Employees engage in a combination of remote and on-site work.
Based in Flatiron, we are a tight knit, curious, and driven team. In person collaboration is important to us, but we believe in allowing our team flexibility to choose the days they come in. We have lunch, snacks, and beverages in office.
Typical time on-site:
Flexible
London, England
Technology We Use
Python
LANGUAGES
TypeScript
LANGUAGES
react.js
FRAMEWORKS
Systemverilog
LANGUAGES
pytorch
LIBRARIES
