Full-Time

SOC Validation Engineer

Staff

Confirmed live in the last 24 hours

d-Matrix

d-Matrix

51-200 employees

AI compute platform for datacenters

Enterprise Software
AI & Machine Learning

Mid, Senior

Santa Clara, CA, USA

Onsite at our Santa Clara, CA headquarters.

Category
QA & Testing
Quality Assurance
Requirements
  • BS/MS in Electrical/Computer Engineering with 4 to 7 years experience or equivalent experience.
  • Familiarity with high speed serial protocol (such as PCIe Gen3/4/5) and/or high speed external memory technology (such as LPDDR3/LPDDR4/LPDDR5 and/or high speed I/O standards.
  • Experienced with PLLs, Si bring up and familiarity with Lab equipment (such as Oscilloscopes, pattern generator, logic analyzer etc)
  • Excellent debugging verbal and written communication skills
  • Capable of working effectively across cross functional organizational boundaries.
  • Leader with a passion for successful products and capable of driving team direction and bring up strategy.
Responsibilities
  • Work on chip(s) bring up, Validation and debug of a cutting edge interference accelerator chiplet. It includes - High speed serial protocol - PCIe Gen5, High speed memory interface - LPDDR5, and Die-to-die chiplet interconnect blocks.
  • Create and execute on test bring up and detailed validation plan as well as test automation (wherever applicable) with the team.
  • Build tests scripts for host systems to test various validation aspects of high speed interface(s) such as PCIe, and/or LPDDR, and/or D2D.
  • Work with the team on procuring/acquiring lab equipment.
  • Collaborate with hardware, software and operations team on various aspects (such as ATE tests, hardware/software debug etc.)

d-Matrix focuses on improving the efficiency of AI computing for large datacenter customers. Its 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 company's goal is to provide high-performance, energy-efficient AI inference solutions to large-scale datacenter operators.

Company Stage

Series B

Total Funding

$149.8M

Headquarters

Santa Clara, California

Founded

2019

Growth & Insights
Headcount

6 month growth

11%

1 year growth

-2%

2 year growth

219%
Simplify Jobs

Simplify's Take

What believers are saying

  • d-Matrix raised $110 million in Series B funding, showing strong investor confidence.
  • The launch of the Corsair AI processor positions d-Matrix as a competitor to Nvidia.
  • Jayhawk II silicon advances low-latency AI inference for large language models.

What critics are saying

  • Competition from Nvidia, AMD, and Intel could pressure d-Matrix's market share.
  • Rapid AI innovation may lead to obsolescence if d-Matrix doesn't continuously innovate.
  • Potential regulatory changes in AI technology could impose new compliance costs.

What makes d-Matrix unique

  • d-Matrix's DIMC engine integrates compute into memory, enhancing efficiency and accuracy.
  • The company's chiplet-based modular design allows for scalable and customizable AI solutions.
  • d-Matrix focuses on power efficiency, addressing critical issues in AI datacenter workloads.

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