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3 часа назад

New Graduate Software Engineer (AI)

Формат работы
hybrid
Тип работы
fulltime
Грейд
junior
Английский
b2
Страна
US/Canada
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Текст:
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TL;DR
New Graduate Software Engineer (AI): Building low-level software and infrastructure for an AI-accelerated platform with an accent on systems programming, hardware interfaces, networking, and distributed systems. Focus on debugging, performance optimization, system bring-up, and developing reliable, scalable tools across hardware, firmware, compiler, and infrastructure layers.

Location: Hybrid role based in Toronto, Ontario, Canada, or Sunnyvale, California, United States

Company

hirify.global builds large-scale AI hardware and an integrated software platform for high-speed model training and inference.

What you will do

  • Collaborate with experienced engineers on systems programming and infrastructure challenges.
  • Design, implement, test, and debug software affecting system performance and reliability.
  • Develop low-level components that interact with hardware and networking infrastructure.
  • Participate in debugging, performance optimization, and system bring-up.
  • Build tools and infrastructure that improve observability, reliability, and scalability.
  • Work cross-functionally with hardware, firmware, compiler, and infrastructure teams.

Requirements

  • Recently graduated or currently enrolled in Computer Science, Computer Engineering, Electrical Engineering, or a related university program, with graduation in 2026.
  • Proficiency in C and C++.
  • Interest or exposure to systems or socket programming, networking, embedded systems, operating systems, device drivers, distributed systems, or network performance.
  • Willingness to work closely with hardware and networking systems and learn low-level engineering concepts.
  • Strong communication, collaboration, attention to detail, and learning skills.

Nice to have

  • Experience with Linux systems programming or debugging tools.
  • Familiarity with TCP, RDMA, RPCs, Wireshark, and packet-trace tools.
  • Exposure to device drivers, embedded systems, distributed infrastructure, concurrent programming, or performance optimization.
  • Interest in large-scale AI infrastructure and accelerated computing systems.

Culture & Benefits

  • Work on an AI platform designed beyond the constraints of GPU-based systems.
  • Opportunities to publish and open-source AI research.
  • Work with a high-performance AI supercomputer.
  • Job stability combined with startup vitality.
  • Simple, non-corporate culture focused on individual beliefs, learning, growth, and inclusion.

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