Full-Time

Analog Design Engineer – Senior Staff

Confirmed live in the last 24 hours

d-Matrix

d-Matrix

201-500 employees

AI compute platform for datacenters

Compensation Overview

$155k - $250k/yr

Senior, Expert

Santa Clara, CA, USA

Hybrid

Hybrid, working onsite at our Santa Clara, CA headquarters 3 days per week.

Category
Electronics Design Engineering
Electrical Engineering
Requirements
  • Completed a BS/MS/PhD Preferred degree in Electrical Engineering
  • BS 7+/MS 5+/PhD 3+ years of related professional experience
Responsibilities
  • Analog-mixed signal integrated circuit design using common circuit design tools from Cadence and Synopsis
  • Design state of the art in-memory-compute engine for artificial intelligence accelerator and Die-Die serial interface for scale-out
  • Job scope includes schematic circuit design, system level performance analysis, design test benches for simulations and verifications, guide layout engineers on layout in deep sub-micron process nodes from 7nm and below, and to optimize design and layout to achieve low power design performance over process-voltage-temperature corners and six-sigma Monte-Carlo yield analysis
  • Independent minor layout tweaks when necessary
  • Work with backend engineers on integration of design/layout
  • Provide model of circuit for backend verification
  • Participate in testboard design for silicon bring up and bench debug or characterization
  • To build scripts for silicon bring up and test features

d-Matrix develops an AI compute platform aimed at improving efficiency for large datacenter customers. Their main product, the digital in-memory compute (DIMC) engine, integrates computing capabilities directly into programmable memory, which helps reduce power consumption and improve data movement. This technology allows for high-performance AI inference acceleration while maintaining accuracy. d-Matrix differentiates itself from competitors by offering scalable and modular solutions through a network of low-power chiplets that can be tailored for different applications. The company's goal is to provide energy-efficient AI compute solutions that meet the demands of large-scale datacenter operators.

Company Size

201-500

Company Stage

Series B

Total Funding

$154M

Headquarters

Santa Clara, California

Founded

2019

Simplify Jobs

Simplify's Take

What believers are saying

  • d-Matrix's DIMC engine addresses critical power consumption and data movement issues.
  • The rise of edge AI computing creates opportunities for d-Matrix's low-latency solutions.
  • Collaboration with cloud providers enhances d-Matrix's integration into major platforms.

What critics are saying

  • Competition from Nvidia and startups may pressure d-Matrix's market share.
  • AI chip design complexity could lead to delays or increased costs for d-Matrix.
  • Regulatory changes like the EU's AI Act could restrict d-Matrix's technology.

What makes d-Matrix unique

  • d-Matrix integrates compute into programmable memory for enhanced efficiency and accuracy.
  • The company offers scalable AI solutions through low-power, customizable chiplets.
  • d-Matrix focuses on power-efficient AI compute for large-scale datacenter operators.

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Benefits

Hybrid Work Options

Growth & Insights and Company News

Headcount

6 month growth

-2%

1 year growth

0%

2 year growth

11%
AI Wire
May 1st, 2025
GigaIO Partners with d-Matrix to Deliver Ultra-Efficient Scale-Up AI Inference Platform

CARLSBAD, Calif., May 1, 2025 - GigaIO today announced the next phase of its strategic partnership with d-Matrix to deliver an expansive inference solution for enterprises deploying AI at scale.

VC News Network
Jan 2nd, 2025
Corsair: The Future of Generative AI Processing Unveiled

Additionally, Micron Technology is collaborating with d-Matrix to bolster Corsair's development and expansion, ensuring that this innovative processor meets the growing demands of the industry.

DIG Watch
Nov 21st, 2024
d-Matrix debuts AI chip for chatbots

Silicon Valley firm d-Matrix has launched its first AI chip, designed to enhance AI services like chatbots and video generators.

Wall Street Pit
Nov 19th, 2024
Challengers Arise: Can AMD, Intel, and Startups Take on Nvidia's AI Chip Reign?

The design and production of these chips is a highly intricate process, as demonstrated by d-Matrix's recent launch of its AI processor, "Corsair."

VentureBeat
Dec 27th, 2023
Ai Predictions For 2024: What Top Vcs Think

Are you ready to bring more awareness to your brand? Consider becoming a sponsor for The AI Impact Tour. Learn more about the opportunities here. As 2023 draws to a close, it’s a time of reflection on the monumental advances — and ethical debates — surrounding artificial intelligence this past year. The launch of chatbots like Bing Chat and Google Bard showcased impressive natural language abilities, while generative AI models like DALL-E 3 and MidJourney V6 stunned with their creative image generation.However, concerns were also raised about AI’s potential harms. The EU’s landmark AI Act sought to limit certain uses of the technology, and the Biden Administration issued guidelines on its development.With rapid innovation expected to continue, many wonder: What’s next for AI? To find out, we surveyed leading venture capitalists investing in artificial intelligence startups for their boldest predictions on what 2024 may bring. Will we see another “AI winter” as hype meets reality? Or will new breakthroughs accelerate adoption across industries? How will policymakers and the public respond?VCs from top firms including Bain Capital Ventures (BCV), Sapphire Ventures, Madrona, General Catalyst and more offered their outlook on topics ranging from the future of generative AI to GPU shortages, AI regulation, climate change applications, and more