Runtime Engineering Intern at d-Matrix

Sydney, New South Wales, Australia

d-Matrix Logo
Not SpecifiedCompensation
InternshipExperience Level
InternshipJob Type
UnknownVisa
AI, TechnologyIndustries

Requirements

  • Must be working toward a Bachelor’s degree in Computer Science, Computer Engineering, or related
  • Experience developing software in C/C++ for Linux systems or related
  • Experience with Python and Bash scripting
  • Familiarity with version control practices, ideally with git
  • Experience with platforms such as Raspberry Pi or RISC-V
  • Experience with device driver based on Ubuntu or Zephyr
  • Experience with common embedded communication protocols such as (TCP/IP, SPI, GPIO, UART, PCIe) in a real-time environment
  • Excellent verbal and written communication skills
  • Ability to work effectively in a team environment
  • Excellent problem-solving skills

Responsibilities

  • Working on embedded systems development
  • Developing Linux software
  • Working with RTOS (Real-Time Operating Systems)
  • Contributing to security-related projects
  • Solving complex problems
  • Potential involvement in low-level embedded development on the RISC-V platform
  • Implementing Linux software

Skills

C/C++
Linux
Python
Bash
Git
RTOS
RISC-V
Raspberry Pi
Ubuntu
Zephyr
TCP/IP
SPI
GPIO
UART
PCIe

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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