d-Matrix

AI Hardware Architect

Santa Clara, California, United States

Not SpecifiedCompensation
Expert & Leadership (9+ years)Experience Level
Full TimeJob Type
UnknownVisa
Semiconductors, Hardware Design, HardwareIndustries

AI Hardware Architect

Position Overview

  • Location Type: Hybrid (Santa Clara Headquarters, Seattle Office, Remote)
  • Job Type: Full-Time
  • Salary: Not specified

As a leading innovator in generative AI, d-Matrix is seeking a talented AI Hardware Architect to join our Hardware Architecture team. This role focuses on defining the next generation of our AI solutions, encompassing data plane and control plane design within SoCs. You'll be responsible for design space exploration, workload characterization, and ISA design, working closely with software and hardware experts to build architectural solutions from concept to specification.

Requirements

Education

  • Minimum PhD in Computer Science, Engineering, or a related field + 15 or more years of industry experience.

Technical Skills

  • Strong grasp of Computer Architecture, HW/SW Co-design, digital design, and machine learning fundamentals.
  • Experience with Data parallel architectures and SIMD/Vector extensions.
  • Experience with workload characterization and competitive analysis.
  • Experience with performance modeling, analysis, and correlation (w/ RTL) of GPU/AI Accelerator architectures.
  • Proficient in C/C++ or Python development in a Linux environment and using standard development tools.

Soft Skills

  • Self-motivated team player with a strong sense of ownership and leadership.

Responsibilities

  • Design, model, and drive new architectural features for next-generation AI hardware.
  • Evaluate the performance of cutting-edge AI workloads.
  • Collaborate with a team of hardware architects, software (ML, Systems, Compiler), and hardware (mixed signal, DSP, CPU) experts.
  • Build and scale architectural solutions within a tight development window.
  • Contribute to the design space exploration and workload mapping within the SoC.
  • Design and specify AI Accelerators.

Application Instructions

  • The job description does not provide specific application instructions. Interested candidates should visit d-Matrix’s careers page or contact the company directly to inquire about application procedures.

Company Information

  • Company: d-Matrix
  • Focus: Unleashing the potential of generative AI.
  • Culture: Values humility, direct communication, inclusivity, and execution.
  • Equal Opportunity Employer: d-Matrix is proud to be an equal opportunity workplace and affirmative action employer, committed to fostering an inclusive environment.

Skills

Computer Architecture
HW/SW Co-design
digital design
machine learning fundamentals
Data parallel architectures
SIMD/Vector extensions
workload characterization
performance modeling
RTL analysis
GPU/AI Accelerator architectures
C/C++
Python
Linux development tools

d-Matrix

AI compute platform for datacenters

About d-Matrix

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.

Santa Clara, CaliforniaHeadquarters
2019Year Founded
$149.8MTotal Funding
SERIES_BCompany Stage
Enterprise Software, AI & Machine LearningIndustries
201-500Employees

Benefits

Hybrid Work Options

Risks

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.

Differentiation

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.

Upsides

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.

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