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19 часов назад

System Software Engineer (AI)

Формат работы
hybrid
Тип работы
fulltime
Английский
b2
Страна
US/Canada
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR
System Software Engineer (AI): Developing and validating software infrastructure for next-generation AI hardware systems with an accent on system-level debugging and automation. Focus on isolating complex hardware-software integration issues and building tools to improve system observability and reliability.

Location: Hybrid (Sunnyvale, CA; Toronto, CAN)

Company

hirify.global Systems builds breakthrough AI hardware, including the world's largest AI chip, designed to deliver training and inference speeds significantly faster than traditional GPU-based cloud services.

What you will do

  • Participate in the bring-up of next-generation AI hardware systems and supporting software infrastructure.
  • Debug complex system-level issues spanning hardware and software interactions using logs and telemetry.
  • Build automation frameworks and internal tooling to improve system validation and debugging workflows.
  • Develop software to test, validate, and stress distributed hardware systems during development and production.
  • Collaborate with hardware engineers to isolate and resolve system integration issues.
  • Improve system observability to accelerate failure identification and debugging.

Requirements

  • BS or MS in Computer Science, Computer Engineering, Electrical Engineering, or a related technical field.
  • Strong programming skills in Python and/or C++.
  • Excellent debugging and problem-solving skills with a methodical approach to complex technical issues.
  • Solid understanding of operating systems fundamentals including processes, threads, memory management, and concurrency.
  • Experience working in Linux development environments.
  • Understanding of computer architecture and hardware-software system interactions.

Nice to have

  • Experience building automation frameworks or test infrastructure.
  • Familiarity with distributed systems concepts and networking fundamentals.
  • Experience debugging large-scale systems or complex infrastructure environments.
  • Exposure to production systems validation or infrastructure reliability engineering.

Culture & Benefits

  • Opportunity to work on one of the fastest AI supercomputers in the world.
  • Environment that balances startup vitality with job stability.
  • Non-corporate work culture that respects individual beliefs.
  • Focus on continuous learning, growth, and team support.

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