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3 дня назад

Support Engineer (GPU Cloud)

Формат работы
remote (Global)
Тип работы
fulltime
Грейд
middle
Английский
b2
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
Для мэтча и отклика нужен Plus

Мэтч & Сопровод

Для мэтча с этой вакансией нужен Plus

Описание вакансии

Текст:
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TL;DR
Support Engineer (GPU Cloud): Managing end-to-end technical support for GPU cluster infrastructure with an accent on Linux systems, networking, and storage troubleshooting. Focus on resolving complex customer issues, maintaining SLA commitments, and improving documentation and runbooks.

Company

hirify.global is building an open-access AI cloud that democratizes computing power by leveraging idle GPU resources globally.

What you will do

  • Own customer support tickets from initial response through to final resolution.
  • Perform technical triage, log analysis, and reproduction of infrastructure issues.
  • Manage customer environment access, including SSH, storage mounts, and security configurations.
  • Execute and author technical runbooks to streamline future troubleshooting.
  • Maintain and update internal knowledge bases and customer-facing documentation.
  • Collaborate with engineering teams to escalate and resolve complex system faults.

Requirements

  • Very strong Linux experience and daily proficiency in the CLI.
  • Experience managing tickets against response SLAs in cloud or infrastructure support.
  • Solid understanding of networking and storage fundamentals including SSH, NFS, DNS, and firewalls.
  • Working familiarity with GPU workloads, including nvidia-smi, drivers, and CUDA.
  • Clear and fast written communication skills under time pressure.
  • Comfortable working across time zones and participating in on-call rotations.

Nice to have

  • Experience with ticketing and on-call tools like Zendesk, Linear, or PagerDuty.
  • Scripting proficiency in Bash or Python for automation.
  • Exposure to Slurm, Kubernetes, or Docker in multi-tenant environments.
  • Background in GPU cloud, HPC, or hardware-adjacent support organizations.

Culture & Benefits

  • Opportunity to work at the intersection of AI and open-source technology.
  • Clear career progression path into Forward Deployed Engineering roles.
  • Collaborative environment focused on democratizing AI access.
  • Commitment to diversity and inclusive workplace practices.

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