M

MatX

Designs high-throughput AI hardware chips

Design Verification Engineer

Hardware Validation & TestingUpdated on Nov 14
Full-timeRemote

About the Job

Requirements

  • Concept-to-silicon experience driving verification from an architecture and/or design specification to production silicon.
  • Experience with SystemVerilog, Python, C/C++, Bluespec, or similar scripting and programming languages for verification and silicon modeling.
  • Production experience with advanced verification methodologies such as UVM and assertion-based verification (ABV); experience with and comfort in formal and simulated verification are required.
  • Production experience creating portable tests and drivers for verification that apply to silicon validation and post-silicon debug.
  • 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.

Responsibilities

  • Contribute to the 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 towards silicon milestones including design freeze and tapeout.

Desired Qualifications

  • Familiarity with emulation and prototyping platforms and methodologies.
  • Hands-on experience participating in 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

Recently Posted Jobs

Explore more opportunities at MatX

See more jobs