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3 дня назад

Software Engineer (AI Hardware Systems)

Формат работы
onsite
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
Software Engineer (AI Hardware Systems): Participate in bring-up and debugging of next-generation AI hardware systems and supporting software infrastructure with an accent on system-level issue investigation, automation framework development, and hardware-software integration. Focus on diagnosing complex system failures, improving system observability, and supporting hardware validation and qualification.

Location

Location: On-site at Headquarters in Sunnyvale, United States and Toronto, Canada

Company

hirify.global Systems builds the world's largest AI chip, delivering industry-leading training and inference speeds that transform AI applications.

What you will do

  • Participate in bring-up of next-generation AI hardware systems and software infrastructure
  • Debug complex system-level issues spanning hardware and software interactions
  • Build automation frameworks and internal tooling to improve validation and debugging workflows
  • Develop software to test, validate, and stress distributed hardware systems
  • Collaborate with hardware engineers to resolve system integration issues
  • Improve system observability and accelerate debugging processes

Requirements

  • Location: Must work on-site in Sunnyvale or Toronto offices
  • BS or MS in Computer Science, Computer Engineering, Electrical Engineering, or related field
  • Strong programming skills in Python and/or C++
  • Experience with Linux development environments and operating systems fundamentals
  • Understanding of computer architecture and hardware-software interactions
  • Strong debugging, problem-solving, and communication skills

Nice to have

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

Culture & Benefits

  • Work on breakthrough AI platform beyond GPU constraints
  • Opportunity to publish and open source cutting-edge AI research
  • Contribute to one of the fastest AI supercomputers globally
  • Enjoy job stability with startup vitality
  • Simple, non-corporate work culture respecting individual beliefs

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