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12 дней назад

Infrastructure Engineer (AI)

250 000 - 800 000$
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
Infrastructure Engineer (AI): Building low-latency, high-throughput infrastructure for large-scale AI simulations with an accent on distributed systems, data pipelines, networking, and cloud primitives. Focus on eliminating bottlenecks, productionizing experimental research workflows, and improving reliability across compute, storage, orchestration, and developer tooling.

Location: New York City metropolitan area; in-office five days a week. Candidates must be located in the area or be open to relocation.

Salary: $250,000–$800,000 plus equity.

Company

hirify.global develops AI-based predictive intelligence by simulating human behavior at population scale.

What you will do

  • Design and build low-latency, high-throughput infrastructure for large-scale simulations.
  • Improve the reliability and performance of data ingestion and computation pipelines.
  • Identify bottlenecks across compute, networking, storage, and orchestration.
  • Build developer tools and abstractions for engineering and research workflows.
  • Productionize experimental research systems into reliable, repeatable infrastructure.
  • Own infrastructure decisions from architecture through implementation and operation.

Requirements

  • Experience building infrastructure, frameworks, or internal platforms for fast-growing engineering teams.
  • Deep experience debugging performance and reliability issues in distributed systems.
  • Comfort working with networking, storage, compute, and cloud primitives.
  • Experience transitioning research or experimental systems into production.
  • Experience with strongly typed languages or languages with algebraic type systems.
  • Strong knowledge of networking protocols such as HTTP, TLS, or TCP.

Nice to have

  • Experience with long-running computational pipelines.
  • Experience designing infrastructure for high-scale data or machine learning workloads.
  • A track record of finding and eliminating bottlenecks in complex systems.

Culture & Benefits

  • Small, mission-driven team with significant ownership and autonomy.
  • In-person work environment with an emphasis on urgency and intellectual honesty.
  • Equity participation in addition to the base salary.
  • Comprehensive medical, vision, and dental coverage.
  • Visa sponsorship and relocation support are available.

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