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3 дня назад

Software Engineer (AI Hardware Systems)

Тип работы
fulltime
Грейд
senior
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): Lead design and implementation of system-level debugging, validation, and observability platforms for AI hardware systems with an accent on building high-performance tooling and visualization for complex technical data. Focus on developing automated anomaly detection, extending compilers and runtimes, and driving cross-functional initiatives to improve system reliability and operational excellence.

Location

Location: US and Canada Offices

Company

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

What you will do

  • Lead design and implementation of system-level debugging, validation, and observability platforms.
  • Develop automated systems for collecting and analyzing numerical and execution anomalies.
  • Create visualization and analysis tools for efficient root-cause investigation.
  • Build frameworks for failure classification, regression detection, and anomaly monitoring.
  • Extend compilers, runtimes, and programming interfaces to support advanced profiling and instrumentation.
  • Partner cross-functionally with compiler, hardware, firmware, runtime, and infrastructure teams.

Requirements

  • Location: Must be based in US or Canada offices
  • Strong proficiency in C++ and Python with experience building reliable, high-performance systems.
  • Experience debugging complex hardware/software systems and driving issues to root cause.
  • Ability to design and build intuitive visualization and analysis tools for complex technical data.
  • Experience with compiler internals, custom hardware interfaces, or low-level protocol design.
  • Strong communication skills and ability to lead complex technical projects independently.

Nice to have

  • Familiarity with machine learning training and inference pipelines, especially distributed training and large-model scaling.
  • Experience with high-performance clusters, HPC systems, or custom hardware/software co-design.

Culture & Benefits

  • Work on breakthrough AI platform beyond GPU constraints.
  • Opportunity to publish and open source cutting-edge AI research.
  • Work with 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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