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  • 50-249
  • Mountain View, CA, US

Groq develops and deploys new architectures for accelerating machine learning. Building and maintaining robust, secure and scalable compute infrastructure is critical to the success of our organization. We take a co-design approach using both hardware and software to make it easier to adapt and change as field changes. By simplifying the hardware and offloading much of those complications to the software we are able to mitigate much of the risk and costs that comes with complicated hardware manufacturing. By focusing on the low-level software we have also set our product up to scale and iterate new form factors. We take a building block approach so that our product can be made to scale better and run faster without having to revamp the hardware. The goal is to leverage Groq hardware to achieve best-in-class performance for machine learning workloads.

  • Technology
  • Late Stage Venture
  • Compiler
  • Compiler Design
  • TensorFlow
  • Haskell
  • Team Lunches
  • 401(K)

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Haskell TensorFlow, machine learning, deep learning, compiler, functional programming, hardware, accelerator