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

Be an early applicant

AI computing and efficiency software

21-100 employees

B2BArtificial IntelligenceMachine LearningSaaSAutomation

Be an early applicant

$142.5-230k

+ Bonus & Equity

Python

C++

Senior and Expert level

San Francisco Bay Area

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

21-100 employees

B2BArtificial IntelligenceMachine LearningSaaSAutomation

Company mission

To deliver best-in-class economics for AI inference acceleration in the datacenter.

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

The explosion in the field of AI puts significant strain on traditional computers, and the silicon architectures currently in use are a bottleneck on the speed and effectiveness of emerging AI models. d-Matrix aims to tackle this challenge by with its digital in-memory computing accelerator for AI. Using a combination of machine learning software tools and modular chiplets it delivers a huge increase in AI computing efficiency without a corresponding increase in energy use.

D-Matrix has major competitors in the race to deliver the next generation of scalable AI solutions. These include the likes of Nvidea which is developing GPU architecture that runs at ten times the efficiency of existing models. However the flexibility and easy scalability of d-Matrix's solution helps it stand out, and its novel approach has gained a high degree of support from investors. The company is currently expanding its operations in the US, India and Australia, and is well poised for success as demand for AI compute solutions continues to grow exponentially.

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 values

All ideas get heard
Intellectual honesty prevails
Everyone feels included.

Company HQ

Santa Clara, CA

Articles

d-Matrix gets $44m in quest for efficient AI server chiplets

d-Matrix Raises $44M in Series A Funding

D-Matrix AI Chip Promises Efficient Transformer Processing

Leadership

Sid Sheth

(CEO)

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

Sudeep Bhoja

(CTO)

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

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