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MatX

Designs high-throughput AI hardware chips

ASIC/SOC CAD Engineer

Silicon & ASIC DesignUpdated on Nov 14
Full-timeMountain View, CA, USA

About the Job

Requirements

  • A Bachelor of Science in Electrical Engineering or equivalent is required.
  • A minimum of 8 years of industry experience in ASIC Physical Design is required.
  • Strong proficiency in programming languages such as Perl, Python, and TCL is required.
  • Expertise developing or using industry-standard ASIC tools and methodologies for construction, including partitioning, floorplanning, synthesis, place and route, and clocking, and sign-off, including equivalency, extraction, timing, power estimation, EMIR, and physical verification, is required.
  • The role requires working from the Mountain View, California office 3 days a week, Tuesday through Thursday.

Responsibilities

  • Develop, maintain, and continuously improve the Physical Design flow from RTL to GDSII, including construction and sign-off.
  • Automate back-end runs, create reports, post-process logs, generate metrics, and extract insights.
  • Evaluate, select, and deploy EDA tools and methodologies to produce best-in-class Performance-Power-Area results.
  • Work with EDA tool vendors to drive issues and enhancements to closure.
  • Train and support flow users and resolve any issues they might face.
  • Manage licenses, compute, and storage, and optimize them for efficiency and cost.
  • Provide some development and support of the front-end CAD flow as needed.

Desired Qualifications

  • Experience with EDA license management, LSF and equivalent job schedulers, and cloud-based silicon development 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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