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9 часов назад

Member Of Technical Staff (AI Networking)

274 800$
Формат работы
onsite
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
US
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

Member Of Technical Staff (AI Networking): Design and scale advanced high-performance networks powering AI supercomputers and training clusters with an accent on ultra-low-latency ROCE networks, congestion control, and fabric-wide systems. Focus on designing, benchmarking, tuning, and scaling distributed Ethernet and InfiniBand fabrics connecting hundreds of thousands of GPUs at hyperscale.

Location: Onsite in Redmond, United States

Salary: $139,900–$274,800 per year (varies by location)

Company

hirify.global is a division focused on advancing artificial intelligence technologies, including frontier AI models and superintelligence systems.

What you will do

  • Design advanced ROCE transport, congestion control, and tuning mechanisms.
  • Plan fabric architecture, topology, network modeling, and scaling strategies.
  • Develop telemetry, observability, reliability engineering, and automated troubleshooting tools.
  • Deploy novel routing techniques to ensure reliability in large-scale networks.
  • Collaborate with industry-leading network designers and internal silicon/network teams.
  • Benchmark AI training and inference clusters and perform root-cause analysis.

Requirements

  • Location: Must work onsite in Redmond, United States
  • Bachelor’s degree in Computer Science or related field with 6+ years of technical engineering experience or equivalent.
  • Proficiency in coding languages such as C, C++, C#, Java, JavaScript, or Python.
  • Preferred: Master’s degree with 8+ years or Bachelor’s with 12+ years of experience.
  • English: Proficient (B2) required

Culture & Benefits

  • Work in a startup-like team within hirify.global focused on responsible and efficient AI development.
  • Collaborate in a culture of respect, integrity, accountability, and inclusion.
  • Opportunity to work on cutting-edge AI networking infrastructure impacting global AI models.
  • Onsite work expectation with local law considerations for proximity to office.

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