Full-Time

AI Systems Solutions Architect

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, Expert

Santa Clara, CA, USA

Hybrid position requiring onsite presence in Santa Clara for 3 days per week.

Category
Solution Engineering
Sales & Solution Engineering
Required Skills
Kubernetes
Tensorflow
Pytorch
Requirements
  • 15 + Years of Industry Experience and Engineering degree in Electrical Engineering, Computer Engineering, or Computer Science with extensive experience.
  • 5+ years of AI Server System experience by working on multiple projects from architecture, development, design including memory, I/O, power delivery, power management, boot process, FW and BMC/hardware management through bring-up and validation and supported through the release to production.
  • 5+ years of experience in a customer-facing role interfacing with OEMs, ODMs and CSPs.
  • Detailed understanding of server industry standard busses, such as DDR, PCIe, CXL and other high-speed IO protocol is required.
  • Ability to work seamlessly across engineering disciplines and geographies to deliver excellent results.
  • Deep understanding of datacenter AI infrastructure requirements and challenge.
  • Preferred: Hands-on understanding of AI/ML infrastructure and hardware accelerators.
  • Experience with leading AI/ML frameworks such as PyTorch, TensorFlow, ONNX, etc. and container orchestration platforms such as Kubernetes.
  • Outstanding communication and presentation skills.
Responsibilities
  • Design, develop, and deploy scalable GenAI inference solutions with d-Matrix accelerators.
  • Work closely with team members across architecture, engineering, product management and business developments to optimize the d-Matrix system solutions for best performance & power balance, feature set and overall system cost.
  • Work closely with Datacenter, OEM and ODM customers at early stage of product concept and planning phase, to enable the system design with partners and industrial ecosystem.
  • Influence and shape the future generations of products and solutions by contributing to the system architecture and technology through the early engagement cycle with customers and industrial partners.
  • Stay abreast of the latest advancements in GenAI hardware and software technologies and assess their suitability for integration into d-Matrix GenAI inference solutions.
  • Establish credibility with both engineering and leadership counterparts at top technology companies, communicate technical results and positions clearly and accurately, and drive alignment on solutions.

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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