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13 дней назад

Senior Software Engineer, TorchPass Product Engineering (AI Infrastructure)

150 000 - 230 000$
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

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TL;DR
Senior Software Engineer, TorchPass Product Engineering (AI Infrastructure): Building customer-facing installation, configuration, observability, and deployment capabilities for TorchPass, which keeps distributed PyTorch training running through hardware and network failures, with an accent on production infrastructure, debugging, and product reliability. Focus on extending support to schedulers and job launchers, turning customer issues into fixes and tests, and making complex cluster software installable and supportable.

Location: On-site in Palo Alto, California, United States

Base salary: $150,000–$230,000 per year, plus eligibility for the company equity program.

Company

hirify.global develops software-driven AI fabrics that improve GPU cluster utilization through observability, workload fault tolerance, and performance acceleration.

What you will do

  • Build and own TorchPass customer-facing installation, configuration, and product status interfaces.
  • Keep product documentation accurate and updated with every release.
  • Support customer evaluations by analyzing logs, diagnosing production issues, and distinguishing product defects from environment problems.
  • Turn field feedback into product fixes, tests, and documentation.
  • Define cluster requirements and product guarantees with the core engineering team.
  • Extend TorchPass to additional schedulers and job launchers.

Requirements

  • 4+ years of experience building or operating production infrastructure software.
  • Experience making infrastructure software installable and supportable by users who did not build it.
  • Strong production debugging skills, including systems you did not write.
  • Deep experience with Kubernetes or Slurm.
  • Strong Python skills and the ability to read and modify Go.
  • Technical documentation and customer-facing troubleshooting experience, plus a relevant degree or equivalent experience.

Nice to have

  • Experience with GPU clusters or machine learning training infrastructure.
  • Release engineering experience, including build pipelines, packaging, and artifact delivery.
  • Experience bringing up clusters across multiple cloud providers.

Culture & Benefits

  • Challenging infrastructure and distributed computing projects.
  • Friendly and inclusive workplace culture.
  • Competitive compensation and equity program eligibility.
  • Benefits package and catered lunch.

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