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MatX

Designs high-throughput AI hardware chips

Design Verification Engineer

Hardware Validation & TestingUpdated on Nov 11
Full-timeMountain View, CA, USA

About the Job

Requirements

  • The candidate must have concept-to-silicon experience driving verification from an architecture and/or design specification to production silicon.
  • The candidate must have experience with SystemVerilog, Python, C/C++, Bluespec, and similar scripting and programming languages for verification and silicon modeling.
  • The candidate must have production experience with advanced verification methodologies such as Universal Verification Methodology (UVM) and assertion-based verification (ABV), and comfort with formal and simulated verification is required.
  • The candidate must have production experience creating portable tests and drivers for verification that apply to silicon validation and post-silicon debug.
  • The candidate must have a strong understanding of silicon micro-architecture and design concepts used in high-performance compute (CPUs, GPUs, accelerators), high-speed connectivity, memory management, and related functionalities.
  • The candidate must be authorized to work in the United States.
  • The candidate must be able to perform job functions in compliance with U.S. export control laws without obtaining a license from U.S. export control authorities.

Responsibilities

  • Contribute to MatX’s verification methodology with a scalable solution across blocks, subsystems, full-chip, and system-level validation.
  • Own portions of verification execution at subsystem and chip level, and create testbenches, tests, and related artifacts to achieve structural and functional coverage closure.
  • 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

  • Familiarity with emulation and prototyping platforms and methodologies is a plus.
  • Hands-on experience participating in silicon debug and bring-up is a plus.

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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