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1 день назад

Systems Software Engineer (AI Cloud)

120 000 - 180 000$
Формат работы
onsite
Тип работы
fulltime
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
Systems Software Engineer (AI Cloud): Building and extending the GPU cloud daemon and market-based resource management systems with an accent on Linux, virtualization, containerization, and multi-tenant security. Focus on hardening infrastructure to zero-trust standards, profiling performance bottlenecks, and improving reliability across hypervisor, container, and network layers.

Location: On-site at offices in San Francisco or Westwood, Los Angeles, United States

Salary: $120,000–$180,000 per year, plus equity and bonus

Company

hirify.global provides decentralized cloud computing infrastructure for AI projects and businesses worldwide.

What you will do

  • Expand and extend the GPU cloud daemon orchestrating the host fleet.
  • Design and deploy market-based resource management systems.
  • Harden code and infrastructure to meet zero-trust standards.
  • Benchmark and profile hypervisor, container, and network layers.
  • Identify and eliminate performance bottlenecks while improving infrastructure reliability and capability.

Requirements

  • Strong programming skills in at least one language, ideally C++.
  • Extensive knowledge of Linux kernel internals, containerization, and virtualization.
  • Deep understanding of workload and network isolation in multi-tenant environments.
  • Experience securing and hardening cloud infrastructure handling untrusted workloads.
  • Background in network security and cloud-native security practices.
  • Experience with GPU programming and GPU-specific security concerns.

Culture & Benefits

  • Full-time employment with on-site collaboration at the San Francisco or Los Angeles office.
  • Health, dental, vision, and life insurance.
  • 401(k) with company match.
  • Meaningful early-stage equity, plus bonus eligibility.
  • On-site meals and snacks.
  • Close collaboration with founders and technical leaders in an ambitious startup environment.

Hiring process

  • 15-minute virtual initial screening.
  • 45-minute virtual discussion covering Vast, systems, and architectures.
  • One-hour LLM-assisted coding assessment followed by a two-hour on-site meeting with the coding assessment.

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