Full-Time

AI Platform Applications Engineer

Staff

Posted on 2/10/2024

d-Matrix

d-Matrix

201-500 employees

AI compute platform for datacenters

No salary listed

Senior

Santa Clara, CA, USA

Hybrid work model, requiring onsite presence 3 days per week.

Category
Applied Machine Learning
Deep Learning
AI Research
AI & Machine Learning
Required Skills
Python
Tensorflow
Pytorch
Linux/Unix
Requirements
  • Engineering degree in Electrical Engineering, Computer Engineering, or Computer Science
  • 9+ years of relevant experience in customer engineering and field support for enterprise datacenter products
  • Hands-on experience with x86 server bring up and deployment with hardware accelerators
  • Strong analytical skills and experience in reviewing enterprise system design
  • Professional-level interpersonal skills
  • Hands-on understanding of AI/ML infrastructure and hardware accelerators
  • Automation experience with Linux or Windows shell scripting, Python or Go
  • Outstanding communication and presentation skills
  • Experience with leading AI/ML frameworks such as PyTorch, TensorFlow, ONNX, etc.
  • Equal Opportunity Employment Policy
Responsibilities
  • Provide customer support
  • Perform system design reviews for data center applications
  • Work with OEM and ODM partners on system integration
  • Understand system design and datacenter infrastructure requirements for AI workloads
  • Conduct installation, configuration, and bring-up of server hardware
  • Create product specifications and technical collateral

d-Matrix focuses on improving the efficiency of AI computing for large datacenter customers. The company has developed a digital in-memory compute (DIMC) engine that integrates computing capabilities directly into programmable memory. This design enhances efficiency and maintains accuracy, addressing significant challenges related to power consumption and data movement in AI applications. d-Matrix offers scalable and modular AI compute solutions through a network of low-power chiplets that can be tailored for different uses. Their primary customers are large-scale datacenter operators who need high-performance and energy-efficient solutions for AI inference. The goal of d-Matrix is to provide advanced AI compute platforms and software that help datacenters operate more efficiently.

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

-10%

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

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