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7 часов назад

Infrastructure Engineer (AI)

Формат работы
onsite
Тип работы
fulltime
Грейд
middle
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Мэтч & Сопровод

Для мэтча с этой вакансией нужен Plus

Описание вакансии

Текст:
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TL;DR
Infrastructure Engineer (AI) (ML infrastructure and distributed systems): Designing and operating high-performance inference and training infrastructure for code-generation models with an accent on reliability, speed, and cost efficiency. Focus on GPU scheduling, distributed systems, cloud deployment, and optimizing compute, networking, and storage layers.

Location: On-site in San Francisco, working from the SF office in FiDi

Company

hirify.global builds models and infrastructure for code agents, including optimized small language models for retrieval, applications, and code generation.

What you will do

  • Architect and manage infrastructure for high-performance model inference and training.
  • Build reliable systems for deploying and scaling machine learning workloads.
  • Work on GPU scheduling, distributed systems, and high-performance cloud deployments.
  • Optimize performance and cost across compute, networking, and storage layers.
  • Collaborate with research and product teams to operate models at scale.

Requirements

  • 2+ years of experience writing high-quality production code.
  • Strong experience with cloud infrastructure such as AWS, GCP, Azure, or equivalent platforms.
  • Experience with data science and systems optimization.
  • Familiarity with machine learning infrastructure and GPUs is a plus.
  • Ability to work on-site from the San Francisco office in FiDi.

Culture & Benefits

  • Work on ambitious technical problems involving code-generation infrastructure.
  • Collaborate with mathematicians, physicists, computer scientists, research teams, and product teams.
  • Help build systems used by rapidly scaling technology companies.

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