Full-Time

Software Engineer

Staff, Systems

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

Santa Clara, CA, USA

Working onsite at our Santa Clara, CA headquarters 3 days per week - Hybrid.

Category
Backend Engineering
Software Engineering
Required Skills
Python
Pytorch
C/C++
Requirements
  • Bachelor’s with a minimum of 6+ years of professional experience in software development with a focus on C++
  • Master’s degree preferred in computer science, Engineering, or a related field with 3+ years of professional experience in software development with a focus on C++
  • Experience in architecting and building complex software systems.
  • Experience with distributed systems or high-performance computing (HPC) applications.
  • Familiarity with PyTorch internals or similar machine learning frameworks.
  • Strong proficiency in modern C++ (C++11 and above) and Python.
  • Solid understanding of software design patterns and best practices.
  • Experience with parallel and concurrent programming.
  • Proficient in CMake, Pytest, and other development tools.
  • Knowledge of GPU programming and acceleration techniques is a plus.
  • Proficient in using development tools and frameworks for building and deploying large-scale applications.
  • Excellent problem-solving and analytical skills.
  • Strong communication and interpersonal abilities.
Responsibilities
  • Lead the design and implementation of a high-performance inference runtime that leverages d-Matrix's advanced hardware capabilities.
  • Integrate the inference runtime with PyTorch to enable upstream software capabilities like inference and finetuning.
  • Work closely with cross-functional teams including hardware engineers, data scientists, and product managers to define requirements and deliver integrated solutions.
  • Develop and implement optimization techniques to ensure low latency and high throughput in distributed and HPC environments.
  • Ensure the code quality, and performance through rigorous testing and code reviews.
  • Create technical documentation to support development, deployment, and maintenance activities.

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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