Senior Staff Machine Learning Computer Architect, d-Matrix

Workload Analysis

$142.5-230k

+ Bonus & Equity

Python

C++

Senior and Expert level

San Francisco Bay Area

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

AI computing and efficiency software

Job no longer available

AI computing and efficiency software

201-500 employees

B2BArtificial IntelligenceMachine LearningSaaSAutomation

Job no longer available

$142.5-230k

+ Bonus & Equity

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

MSEE with 7+ years of experience or PhD with 5+ years of applicable experience
Solid grasp through academic or industry experience in multiple of the relevant areas – computer architecture, hardware software codesign, performance modeling, ML fundamentals (particularly DNNs)
Programming fluency in C/C++ or Python
Experience with developing analytical performance models, architecture simulators for performance analysis, or hacking existing ones such as cycle-level simulators (gem5, GPGPU-Sim etc.)
Research background with publication record in top-tier architecture, or machine learning venues is a huge plus (such as ISCA, MICRO, ASPLOS, HPCA, DAC, MLSys etc.)
Self-motivated team player with strong sense of collaboration and initiative

What the job involves

D-Matrix is seeking outstanding computer architects to help accelerate AI application performance at the intersection of both hardware and software, with particular focus on emerging hardware technologies (such as DIMC, D2D, PIM etc.) and emerging workloads (such as generative inference etc.)
Our acceleration philosophy cuts through the system ranging from efficient tensor cores, storage, and data movements along with co-design of dataflow, and collective communication techniques
As a member of the architecture team, you will analyze the latest ML workloads (multi-modal LLMs, CoT reasoning models, video/audio-generation)
You will contribute Hardware and Software features that power the next generation of inference accelerators in datacenters
This role requires to keep up the latest research in ML Architecture and Algorithms, and collaborate with different partner teams including Product, Hardware design, Compiler, Inference Server, Kernels
Your day-to-day work will include (1) analyzing the properties of emerging machine learning algorithms and workloads and identifying functional, performance implications (2) Creating analytical models to project performance on current and future generations of d-matrix hardware (3) proposing new HW/SW features to enable or accelerate these algorithms

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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