Senior Machine Learning Computer Architect, d-Matrix
Workload Analysis
$130-203.5k
Plus equity and bonus
AI computing and efficiency software
Be an early applicant
AI computing and efficiency software
201-500 employees
Be an early applicant
$130-203.5k
Plus equity and bonus
201-500 employees
Company mission
To unleash the potential of generative AI to power the transformation of technology.
Role
Who you are
- BSEE with 7+ years of industry experience or MSEE preferred with 4+ years of industry 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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