Full-Time

RTL Digital Design Engineer – Senior Staff

Confirmed live in the last 24 hours

d-Matrix

d-Matrix

51-200 employees

AI compute platform for datacenters

Hardware
Enterprise Software
AI & Machine Learning

Senior

Santa Clara, CA, USA

Hybrid position requiring onsite work at Santa Clara headquarters 3 days per week.

Category
Electronics Design Engineering
Embedded Systems Engineering
Electrical Engineering
Required Skills
Verilog
Requirements
  • BSEE 12 + years industry experience / Master’s degree preferred in electrical engineering, Computer Engineering or Computer Science with 10+ years of meaningful work experience.
  • Experience in micro-architecture and RTL development (Verilog/System Verilog), focused on Processor, 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.
  • Computer Architecture & Arithmetic is required. Experience with RISC V/Tensilica/ARM/Mips processors.
Responsibilities
  • Be responsible for the micro-architecture and design of the High-speed IO interfaces.
  • 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.
  • Participate in silicon bring-up and validation for blocks owned.

d-Matrix focuses on improving the efficiency of AI computing for large datacenter customers. The main product is the digital in-memory compute (DIMC) engine, which combines computing capabilities directly within programmable memory. This design helps reduce power consumption and enhances data processing speed while ensuring accuracy. Unlike many competitors, d-Matrix offers a modular and scalable approach, utilizing low-power chiplets that can be tailored for different applications. The goal is to provide high-performance AI inference solutions that are energy-efficient, catering specifically to the needs of large-scale datacenter operators.

Company Stage

Series B

Total Funding

$149.8M

Headquarters

Santa Clara, California

Founded

2019

Growth & Insights
Headcount

6 month growth

-14%

1 year growth

-3%

2 year growth

235%
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.

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