Full-Time

Software Engineer – Senior Staff

AI Simulator Tool

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

Senior, Expert

Santa Clara, CA, USA

Location is Santa Clara, CA (HQ).

Category
Backend Engineering
Software Engineering
Required Skills
Python
C/C++
Linux/Unix
Requirements
  • MS in Computer Science, Electrical Engineering, Math, Physics or related degree with 10+ Years of Industry Experience
  • Expert in C++ with proficiency in Python
  • Comfortable developing in a Linux environment using common version control and development tools
  • Experience implementing performance simulators in C++ using frameworks such as SPARTA, SystemC, Gem5, or GPGPU-Sim
  • Experience correlating performance simulators to hardware implementation
  • Strong sense of ownership with the ability to delegate tasks to others
Responsibilities
  • implementing a unified performance modeling strategy that can be leveraged across our simulations
  • contributed to a cycle-accurate or cycle-approximate simulator of a developing architecture
  • produce a functional and performant model of a hardware block given a specification document
  • understand speeds, feeds, and common congestion issues and can debug them through correlation with RTL simulation or emulation
  • consider yourself an expert in C++ and proficient in Python
  • comfortable leading junior engineers and contractors

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

219%
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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