d-Matrix is a computing platform designed to target artificial intelligence inferencing workloads in the datacenter.

AI/ML

Analytics

Cloud

Data Center

d-Matrix

d-Matrix's headquarters in Santa Clara, CA, United States

This department focuses on designing and developing Register Transfer Level (RTL) specifications and implementations for digital systems.

RTL Design

The Software and Engineering team at d-Matrix develops and optimizes software solutions and engineering designs that enhance the efficiency and performance of AI inferencing workloads in datacenters. This multidisciplinary team works on compiling, runtime design, validation, and machine learning performance to ensure the robust and effective deployment of d-Matrix's computing platform. They collaborate to drive innovations in AI hardware architecture, software engineering, and system integration, enabling cutting-edge inferencing capabilities.

Software and Engineering

This department focuses on designing, developing, and maintaining software applications and systems.

Software Engineering

The Talent Acquisition Team at d-Matrix is responsible for sourcing, attracting, and hiring top-tier talent to support the company's mission of advancing AI inferencing in the datacenter. This team leverages strategic recruitment techniques, including partnering with external sourcers, to ensure the onboarding of skilled professionals who can drive innovation and enhance d-Matrix's computing platform.

Talent Acquisition Team

This department focuses on developing and implementing machine learning algorithms and models to solve complex problems and enhance decision-making.

Machine Learning

This department oversees the strategic direction and technical standards for engineering and software development projects.

Technical Leadership

This department is responsible for managing the organization's financial planning, reporting, and accounting functions.

People (3)

Jobs (0)

Other teams

Software and Engineering

Software Engineering

Talent Acquisition Team

Machine Learning

Technical Leadership

Finance and Accounting