Senior Staff Runtime Systems Engineer at d-Matrix

Santa Clara, California, United States

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Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

AI, SemiconductorsIndustries

Requirements

Bachelor’s in computer engineering or electrical engineering with a minimum of 7 years of industry experience in embedded software development
Worked with containers and VMs
Experience with Linux system level programming
Strong knowledge in Linux device driver
Proficiency in C/C++
Experience working with Python is desired

Responsibilities

Design, implement and develop systems software for AI inference infrastructure
Identify, analyze, architect, develop and debug systems software
Experience in distributed and scale-out application
Deliver quality code; debug complex problems
Architect, document, and develop the runtime firmware that executes in various on-chip multi-core CPU subsystems
Determine the delivery schedule and ensure the software meets d-Matrix coding and methodology guidelines
Collaborate with the hardware team, hardware verification team, and other members of the software team

Skills

systems software

firmware development

low-level drivers

multi-core CPU

runtime firmware

SoC programming

AI inference

distributed systems

scale-out applications

debugging

hardware verification

d-Matrix

AI compute platform for datacenters

About d-Matrix

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 within 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.

Santa Clara, CaliforniaHeadquarters

2019Year Founded

$149.8MTotal Funding

SERIES_BCompany Stage

Enterprise Software, AI & Machine LearningIndustries

201-500Employees

Benefits

Hybrid Work Options

Risks

Competition from Nvidia, AMD, and Intel may pressure d-Matrix's market share.

Complex AI chip design could lead to delays or increased production costs.

Rapid AI innovation may render d-Matrix's technology obsolete if not updated.

Differentiation

d-Matrix's DIMC engine integrates compute into memory, enhancing efficiency and accuracy.

The company offers scalable AI solutions through modular, low-power chiplets.

d-Matrix focuses on brain-inspired AI compute engines for diverse inferencing workloads.

Upsides

Growing demand for energy-efficient AI solutions boosts d-Matrix's low-power chiplets appeal.

Partnerships with companies like Microsoft could lead to strategic alliances.

Increasing adoption of modular AI hardware in data centers benefits d-Matrix's offerings.

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