Full-Time

AI Systems Solutions Architect

Confirmed live in the last 24 hours

d-Matrix

d-Matrix

201-500 employees

AI compute platform for datacenters

Enterprise Software
AI & Machine Learning

Expert

Santa Clara, CA, USA

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

Category
Solution Engineering
Sales & Solution Engineering
Required Skills
Product Management

You match the following d-Matrix's candidate preferences

Employers are more likely to interview you if you match these preferences:

Degree
Experience
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.
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.
Desired Qualifications
  • 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

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. d-Matrix differentiates itself from competitors by offering 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 Size

201-500

Company Stage

Series B

Total Funding

$149.8M

Headquarters

Santa Clara, California

Founded

2019

Simplify Jobs

Simplify's Take

What believers are saying

  • Growing demand for energy-efficient AI solutions boosts d-Matrix's low-power chiplets appeal.
  • Partnerships with companies like Microsoft could lead to strategic alliances.
  • Increasing adoption of modular AI hardware in data centers benefits d-Matrix's offerings.

What critics are saying

  • Competition from Nvidia, AMD, and Intel may pressure d-Matrix's market share.
  • Complex AI chip design could lead to delays or increased production costs.
  • Rapid AI innovation may render d-Matrix's technology obsolete if not updated.

What makes d-Matrix unique

  • d-Matrix's DIMC engine integrates compute into memory, enhancing efficiency and accuracy.
  • The company offers scalable AI solutions through modular, low-power chiplets.
  • d-Matrix focuses on brain-inspired AI compute engines for diverse inferencing workloads.

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Benefits

Hybrid Work Options

Growth & Insights and Company News

Headcount

6 month growth

2%

1 year growth

2%

2 year growth

14%
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

Yahoo Finance
Oct 24th, 2023
A new phase of the AI race is coming - and chip startup d-Matrix could be the winner

With backers like Microsoft, d-Matrix is competing against Nvidia to become the next big thing in AI chips.