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MatX

Designs high-throughput AI hardware chips

Design Verification Engineer - Compute

Hardware Validation & TestingUpdated on Nov 14
Full-time

About the Job

Requirements

  • At least 5 years of silicon design-verification experience.
  • End-to-end experience driving verification from an architecture and/or design specification through design freeze and tapeout to production silicon.
  • Production experience with SystemVerilog, Universal Verification Methodology (UVM), assertion-based verification (ABV), and both formal and simulated verification.
  • Experience using Python, C/C++, and similar scripting and programming languages for verification and silicon modeling.
  • Production experience creating portable tests and drivers for silicon validation and post-silicon debug.
  • Strong understanding of silicon microarchitecture and design concepts used in high-performance compute (CPUs, GPUs, accelerators), memory management, and related functionalities.

Responsibilities

  • Contribute to the compute subsystem verification methodology with a scalable solution across blocks, subsystems, full-chip, and system-level validation.
  • Own portions of verification execution at the subsystem level or within subsystem blocks, and create testbenches, tests, and related artifacts to achieve structural and functional coverage closure.
  • Qualify one or more pieces of the software stack on the subsystem.
  • Plan and drive intermediate and sign-off reviews on verification test plans, execution progress, and verification closure toward silicon milestones, including design freeze and tapeout.

Desired Qualifications

  • Numerics knowledge, including floating-point and fixed-point arithmetic, rounding, and precision.
  • Prior work on accelerators, DMA engines, or systolic operations or arrays.
  • Rust or a functional-programming background, including Haskell or functionally rooted HDLs such as Bluespec.
  • Familiarity with emulation and prototyping platforms and methodologies.
  • Hands-on experience with silicon debug and bring-up.

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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