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Full-Time

Software Engineer

Staff, AI Simulator Tool

Confirmed live in the last 24 hours

d-Matrix

d-Matrix

51-200 employees

AI compute platform for datacenters

Hardware
AI & Machine Learning

Senior

Santa Clara, CA, USA

Category
Embedded Engineering
Software Engineering
Required Skills
C/C++
Linux/Unix
Requirements
  • BS + at least 5 years C++ experience
  • Proficient in C++
  • Comfortable developing in a Linux environment using common version control and development tools
  • Experience on DV team or otherwise writing functional models of a hardware architecture
  • Ability to work with other teams to triage functional issues
Responsibilities
  • You will be responsible for providing a functional reference model that can be used to simulate the computations executed on our hardware.
  • You have contributed to a bit-accurate functional model of a developing architecture.
  • Given a specification document, you can produce a functional model of a hardware block.
  • You are proficient in C++ and comfortable maintaining a library used by many customers.
  • Ideally, you have experience in DV and debugging differences between specification, model, and RTL.

d-Matrix focuses on improving the efficiency of AI computing for large datacenter customers. Its main product is the digital in-memory compute (DIMC) engine, which combines computing capabilities directly with programmable memory. This design helps reduce power consumption and enhances data processing speed while ensuring accuracy. d-Matrix differentiates itself from competitors by offering a modular and scalable approach, utilizing low-power chiplets that can be tailored for different applications. The company's goal is to provide high-performance, energy-efficient AI inference solutions to large-scale datacenter operators.

Company Stage

Series B

Total Funding

$161.5M

Headquarters

Santa Clara, California

Founded

2019

Growth & Insights
Headcount

6 month growth

-11%

1 year growth

3%

2 year growth

243%
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Simplify's Take

What believers are saying

  • Securing $110 million in Series B funding positions d-Matrix for rapid growth and technological advancements.
  • Their Jayhawk II silicon aims to solve critical issues in AI inference, such as cost, latency, and throughput, making generative AI more commercially viable.
  • The company's focus on efficient AI inference could attract significant interest from data centers and enterprises looking to deploy large language models.

What critics are saying

  • Competing against industry giants like Nvidia poses a significant challenge in terms of market penetration and customer acquisition.
  • The high dependency on continuous innovation and technological advancements could strain resources and lead to potential setbacks.

What makes d-Matrix unique

  • d-Matrix focuses on developing AI hardware specifically optimized for Transformer models, unlike general-purpose AI chip providers like Nvidia.
  • Their digital in-memory compute (DIMC) architecture with chiplet interconnect is a first-of-its-kind innovation, setting them apart in the AI hardware market.
  • Backed by major investors like Microsoft, d-Matrix has the financial support to challenge established players like Nvidia.

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