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MatX

Designs high-throughput AI hardware chips

Microarchitect and RTL Designer - Compute

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

About the Job

Requirements

  • At least 5 years of silicon design experience.
  • Experience taping out chips and demonstrating end-to-end ownership of a design through multiple generations.
  • Ability and willingness to ramp up on Bluespec, a functionally rooted hardware description language used for the company's designs.
  • Production-proven experience with silicon microarchitecture and design concepts used in high-performance computing, including CPUs, GPUs, accelerators, high-speed connectivity, and memory management.
  • Experience with SystemVerilog, Python, C/C++, and similar scripting and programming languages for chip design and related flows.
  • Experience testing designs and working closely with verification teams toward performance and coverage closure goals.
  • Hands-on experience with design synthesis, design lint, and related flows to take designs to high-quality sign-off.
  • The position requires access to information subject to U.S. export controls; the applicant must be able to perform job functions in compliance with U.S. export control laws without obtaining an export-control license.

Responsibilities

  • Contribute to the silicon architecture-to-design methodology with a scalable solution across blocks, subsystems, and full-chip design.
  • Own entire subsystems or subsets and/or chip-level silicon design deliverables from microarchitecture through sign-off-ready design.
  • Plan and drive intermediate and sign-off reviews on microarchitecture and design specifications, execution progress, and area and timing closure toward silicon milestones, including design freeze and tapeout.
  • Work closely with verification, design-for-test, and physical-design co-owners of the relevant subsystem or block to deliver performance, power, and area results.

Desired Qualifications

  • Prior Bluespec experience or familiarity with functional-programming paradigms such as Haskell.
  • Experience designing arithmetic/compute datapaths for machine learning, including matrix multiplication or systolic multiply-accumulate arrays, reduction trees, and floating-point or special-function units.
  • Familiarity with verification, emulation platforms, and methodologies.
  • Extensive experience with logic focused on moving, storing, or managing data, such as caches, buffers, and crossbars.

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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