Internship

Analog Mixed-Signal Intern

Confirmed live in the last 24 hours

d-Matrix

d-Matrix

51-200 employees

AI compute platform for datacenters

Hardware
Enterprise Software
AI & Machine Learning

Santa Clara, CA, USA

Category
Electronics Design Engineering
Electrical Engineering
Requirements
  • Master or Phd with experiences in mixed-signal circuit design (transceiver, data converter, PLL, SerDes, Power management, ALU designs) are highly preferred.
Responsibilities
  • Design Building blocks and Architectural investigation of Die-to-Die (D2D) interconnect
  • Design Digital-In-Memory compute building blocks
  • Responsibilities include schematic design and layout

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

Company Stage

Series B

Total Funding

$149.8M

Headquarters

Santa Clara, California

Founded

2019

Growth & Insights
Headcount

6 month growth

-14%

1 year growth

-3%

2 year growth

235%
Simplify Jobs

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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