Senior Staff Runtime Engineer, d-Matrix

Salary not provided

Python

C++

Senior and Expert level

San Francisco Bay Area

3+ days a week in office (Santa Clara, CA)

AI computing and efficiency software

Open for applications

AI computing and efficiency software

201-500 employees

B2BArtificial IntelligenceMachine LearningSaaSAutomation

Open for applications

Salary not provided

Python

C++

Senior and Expert level

San Francisco Bay Area

3+ days a week in office (Santa Clara, CA)

201-500 employees

B2BArtificial IntelligenceMachine LearningSaaSAutomation

Company mission

To unleash the potential of generative AI to power the transformation of technology.

Job

Company

Role

Who you are

Bachelor’s in computer engineering or electrical engineering with a minimum of 7 years of industry experience in embedded software development
Proficiency in C/C++
Experience working with python is desired
Strong understanding of bare-metal programming and RTOS (preferably Zephyr)

What the job involves

D-Matrix is developing an AI compute platform focusing on in-memory compute for AI inference in datacenters
This position is for Runtime Software Engineering working on the architecture, development, and validation of the functionality and efficiency of firmware/software that is executed on multiprocessor system-on-a-chip, low-level drivers, and systems software that hosts this SoC
In this role, you will be largely responsible for all aspects of runtime performance of the silicon product
You will architect, document, and develop the runtime firmware that executes in various on-chip multi-core CPU subsystems
You will be responsible for determining the delivery schedule and ensuring the software meets d-Matrix coding and methodology guidelines
You will collaborate with the hardware team, hardware verification team, and other members of the software team
Design, implement and develop software for embedded devices and systems
Identify and resolve complex software and hardware issues
Write and maintain high efficiency firmware for bare-metal and RTOS
Configure and manage low-level hardware interfaces (PCIe, DMA, UART, SPI, I2C)
Worked on reliable state machine, fault detection and protection logic
Design documentation, unit testing and CICD pipeline

Our take

d-Matrix is redesigning how AI gets done, tackling the limit f traditional chips with its Corsair platform. Using digital in-memory computing and a chiplet-based design, it delivers fast, power-efficient AI interface that's built for today's data-heavy models, without the energy overload.

Recently, the company has been making some serious moves. Its secured substantial funding, with backing from Microsoft, and partnering with HTEC to boost its software capabilities. With Corsair already showing serious speed gains over GPUs like Nvidia's H100, d-Matrix is proving it can deliver real-world performance at scale.

But instead of competing head-on with GPU giants, d-Matrix is focusing on where AI meets people. And with AI growing fast, especially for interactive and generative applications, d-Matrix is building the hardware that helps AI keep up with this demand.

Freddie

Company Specialist at Welcome to the Jungle

Company

Funding (2 rounds)

Sep 2023

$110m

SERIES B

Apr 2022

$44m

SERIES A

Total funding: $154m

Company benefits

Equity
Health care
Flexible time-off
Paid paternity leave
401k retirement plan
Remote & hybrid working model
Work with world-leading engineers and researchers
Peer coaching & development
Team-building activities
Happy hours
Free food and snacks
On-site fitness center

Company HQ

Santa Clara, CA

Leadership

Sid Sheth

(Co-Founder, CEO & President)

Previously Director at NetLogic Microsystems, Director of Marketing at Broadcom Inc and SVP/GM at Inphi Corporation.

Sudeep Bhoja

(Co-Founder & CTO)

Previously CTO at Inphi Corporation, Technical Director at Broadcom and Chief Architect at Big Bear Networks.

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