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MatX

Designs high-throughput AI hardware chips

Bluespec Design Engineer - Haskell

Silicon & ASIC DesignConfirmed live in the last 24 hours
Full-timeMountain View, CA, USA

About the Job

Requirements

  • Proficiency in Haskell, including familiarity with monads, typeclasses, higher-order functions, and do-notation.
  • Willingness to quickly learn Bluespec Haskell.
  • Strong engineering fundamentals, including writing clean, well-tested, well-documented code and using build systems, version control, and continuous integration workflows.

Responsibilities

  • Build production hardware for compute, memory management, and high-speed connectivity.
  • Develop reusable, parameterized Bluespec libraries that scale across the chip.
  • Shape hardware architecture by using Bluespec to explore implementation tradeoffs and converge on suitable designs.
  • Create tooling for the hardware/software ecosystem to help build correct, high-performance hardware faster.

Desired Qualifications

  • Existing experience with Bluespec.
  • Prior hardware design experience with ASIC or FPGA, including familiarity with clock domains, pipelining, state machines, synthesis, and timing closure.
  • Production experience with Rust.

About the Company

MatX

Designs high-throughput AI hardware chips

MatX builds high-throughput AI accelerators for large language models. Its main product is a dedicated chip where every transistor is optimized for running large neural networks, aiming to deliver strong performance for training and inference of LLMs. The company also develops the surrounding software stack, including compilers, to make the hardware easy to program for ML engineers (e.g., through JAX-based workflows). Unlike general-purpose processors, MatX focuses on specialization and full-stack optimization from silicon to software. Its goal is to enable organizations with substantial AI workloads to scale efficiently by providing powerful, purpose-built hardware and the compatible software tools they need to deploy and optimize large models.

Company size
51-200
Company stage
Series B
Total funding
$604.9M
Headquarters
Mountain View, CA
Founded
2022

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