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

Key technologies and capabilities for this role

C/C++LinuxPythonBashGitRTOSRISC-VRaspberry PiUbuntuZephyrTCP/IPSPIGPIOUARTPCIe

Questions & Answers

Common questions about this position

What is the work location or arrangement for this internship?

The position is hybrid, requiring onsite presence 3 days per week in Sydney.

What is the salary for the Runtime Engineering Intern position?

This information is not specified in the job description.

What skills are required for this intern role?

Required skills include working toward a Bachelor’s degree in Computer Science, Computer Engineering, or related; experience developing software in C/C++ for Linux systems; experience with Python and Bash scripting; and familiarity with version control practices, ideally with git.

What is the company culture like at d-Matrix?

The culture emphasizes respect, collaboration, humility, direct communication, inclusivity, and valuing differing perspectives for better solutions. They seek passionate individuals driven by execution and tackling challenges.

What makes a strong candidate for this internship?

Strong candidates have the required degree background, C/C++ experience on Linux, Python/Bash scripting, git familiarity, plus preferred skills like RISC-V platforms, device drivers, embedded protocols, communication skills, teamwork, and problem-solving.

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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