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MatX

Designs high-throughput AI hardware chips

AI Silicon Architect

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

About the Job

Requirements

  • Expertise in modern high-performance CPU, GPU, or AI accelerator architecture and hardware/software interactions.
  • Experience analyzing and optimizing system performance using diverse tools and methodologies.
  • Proficiency in programming and code optimization.
  • Excellent writing skills.

Responsibilities

  • Develop, support, and own hardware architecture throughout the product lifecycle.
  • Deeply understand customer use cases, workload performance, and machine learning systems research.
  • Produce requirements and architecture specifications.
  • Estimate hardware area, timing, and power to inform architectural trade-offs.
  • Collaborate closely with Research, Software, and Hardware teams.
  • Interface with vendors and customers.
  • Architectural responsibilities may include parallel compute models such as SIMD, Vector, VLIW, and other parallel execution models; efficient storage and communication across memory and network fabrics; and workload mapping, bottleneck analysis, and scalable distributed systems.

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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