Energy Efficient Chips
for Artificial Intelligence
Building state-of-the-art reconfigurable dataflow chips, optimized for every AI model, delivering superior efficiency and performance.
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About
The substrate for all future knowledge
We're building state-of-the-art, energy-efficient reconfigurable dataflow chips ("XPUs") for AI training and inference.
Given their polymorphic (reconfigurable) nature, our XPU chips can be optimized for each AI model, optimizing dataflow and reducing memory movement through localization, instruction fusion, and layer fusion, delivering superior energy efficiency, versatility, and throughput compared to traditional accelerators like GPUs and TPUs.
Based in San Francisco, California.
Careers
Build the future of computing
Do you want to bring silicon back to Silicon Valley? We're hiring founding engineers across the stack.
You'll be working in-person at our San Francisco HQ with the founding team, have a large role, and direct influence over the company's research and products. This mission is not for the faint-hearted. It will be hard, but it will be the most rewarding work of your life.
If you're among the top 1% of the top 1%, passionate about building the next-generation computing paradigm, and changing the world, then reach out to careers@zscc.ai
We don't care about degrees, fancy titles, or credentials. Just send us a demo of something you've built that you're proud of, and we'll talk to you if relevant.