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Full-Time

CAD Engineer – Principal

Sta

Posted on 6/27/2024

d-Matrix

d-Matrix

51-200 employees

AI compute platform using in-memory computing

Data & Analytics
Hardware
AI & Machine Learning

Expert

Santa Clara, CA, USA

Category
Electronics Design Engineering
Electrical Engineering
Required Skills
CAD
Git
Perl
Requirements
  • MS in EE/CS with 15+ years of previous experience
  • Experience with scripting/programming using Tcl/Tk/Perl/Python/SKILL
  • Exposure on ASIC design, layout and semiconductor device/process through previous work/intern experience or course work
  • Knowledge of Synopsys/Cadence P&R tools
  • Passionate about thriving in a fast-paced and dynamic startup culture
Responsibilities
  • Responsible for the methodology & flow development of Physical Design and Timing Closure for custom and semi-custom blocks
  • Develop CAD tools for optimization of Synthesis, Floorplan, Place and Route, and Design closure
  • Develop automation scripts for Design, Verification including regression runs
  • Develop methodology and flows with revision control systems such as git
  • Interfacing with EDA vendors to enable production-ready tool sets that satisfy project's requirements

d-Matrix is developing a unique AI compute platform using in-memory computing (IMC) techniques with chiplet level scale-out interconnects, revolutionizing datacenter AI inferencing. Their innovative circuit techniques, ML tools, software, and algorithms have successfully addressed the memory-compute integration problem, enhancing AI compute efficiency.

Company Stage

Series B

Total Funding

$161.5M

Headquarters

Santa Clara, California

Founded

2019

Growth & Insights
Headcount

6 month growth

-15%

1 year growth

85%

2 year growth

223%
Simplify Jobs

Simplify's Take

What believers are saying

  • Securing $110 million in Series B funding positions d-Matrix for rapid growth and technological advancements.
  • Their Jayhawk II silicon aims to solve critical issues in AI inference, such as cost, latency, and throughput, making generative AI more commercially viable.
  • The company's focus on efficient AI inference could attract significant interest from data centers and enterprises looking to deploy large language models.

What critics are saying

  • Competing against industry giants like Nvidia poses a significant challenge in terms of market penetration and customer acquisition.
  • The high dependency on continuous innovation and technological advancements could strain resources and lead to potential setbacks.

What makes d-Matrix unique

  • d-Matrix focuses on developing AI hardware specifically optimized for Transformer models, unlike general-purpose AI chip providers like Nvidia.
  • Their digital in-memory compute (DIMC) architecture with chiplet interconnect is a first-of-its-kind innovation, setting them apart in the AI hardware market.
  • Backed by major investors like Microsoft, d-Matrix has the financial support to challenge established players like Nvidia.
INACTIVE