Energy Efficient Chips for Artificial Intelligence

Backed byY Combinator

About

Based in Silicon Valley (San Francisco, California, United States)

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.

We're essentially building the substrate that will power all future knowledge and scientific discovery.

Do you want to bring silicon back to Silicon Valley? Join the team! → careers

For any inquiries (press/partnerships/...), please reach out to us at contact@zscc.ai.

Careers

Current roles that we are hiring for:

  • Founding Engineer - Hardware & Chip Design (150k-300k & 0.5%-2.00%) → info
  • Founding Engineer - Firmware & Software (150k-300k & 0.5%-2.00%) → info
  • Open Role (always looking for talented people!) (???k & maybe%)

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 product(s). This mission is not for the faint-hearted. It will be hard, but it will be the most rewarding work of your life.

So, if you're among the top 1% of the top 1% of engineers/researchers, ready to do the most amazing and rewarding work of your life, passionate about building THE next-generation computing paradigm, and changing the world, then reach out to careers@zscc.ai!

NOTE: 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.