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Full-Time

Digital Design Engineer – Principal

Micro-Architect

Confirmed live in the last 24 hours

d-Matrix

d-Matrix

51-200 employees

AI compute platform using in-memory computing

Data & Analytics
Hardware
AI & Machine Learning

Senior, Expert

Santa Clara, CA, USA

Category
Electronics Design Engineering
Embedded Systems Engineering
Electrical Engineering
Required Skills
CAD
Verilog
Requirements
  • BSEE + Master’s degree in electrical engineering, Computer Engineering or Computer Science with 12 to 15 + years industry experience.
  • Experience in micro-architecture and RTL development (Verilog/System Verilog), focused on high-speed Processor and sub-system design, Digital Signal Processing blocks.
  • Exposure to Mixed-signal designs, Computer Architecture & Arithmetic is required.
  • Good understanding of ASIC design flow including RTL design, verification, logic synthesis and timing analysis.
  • Strong interpersonal skills and an excellent teammate.
Responsibilities
  • Responsible for the micro-architecture and design of the AI sub-system modules including SIMD, Hardware Execution Engines.
  • Responsible for definition and implementation of Custom ISA.
  • Work with System Architects to develop efficient C-Kernel utilizing the Custom ISA.
  • Own design, document, execute and deliver fully verified, high performance, area, and power efficient RTL to achieve the design targets and specifications.
  • Design of micro-architecture and RTL, synthesis, logic and timing verification using leading edge CAD tools and semiconductor process technologies.
  • Design and implement logic functions that enable efficient test and debug and participate in silicon bring-up and validation for blocks owned.

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.