Назад
Company hidden
12 дней назад

Engineering Intern

Формат работы
onsite
Тип работы
fulltime
Грейд
trainee
Английский
b2
Страна
US
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:
/
TL;DR
Engineering Intern (Distributed Systems/AI Infrastructure): Building and improving infrastructure for long-running AI agents, including distributed storage, scheduling, orchestration, virtualization, and runtime systems with an accent on reliability, fault tolerance, concurrency, and system correctness. Focus on investigating failures and bottlenecks, designing recovery and testing mechanisms, and shipping production-quality infrastructure used by real engineers.

Location: San Francisco, United States; five days per week in person

Company

hirify.global is an AI research company building infrastructure for autonomous software agents, including persistent compute, distributed storage, orchestration, networking, scheduling, and runtime systems.

What you will do

  • Build distributed infrastructure for large-scale, long-running AI agent workloads.
  • Develop persistent compute, distributed storage, scheduling, orchestration, virtualization, containerization, and sandboxing systems.
  • Improve production reliability, observability, performance, latency, and failure recovery.
  • Investigate bottlenecks and failures across storage, networking, scheduling, and runtime layers.
  • Design tests for partial failures, machine loss, and degraded networks.
  • Ship an internship-scoped infrastructure project used by real engineers or systems.

Requirements

  • Ability to work full-time and in person from the San Francisco office for approximately three months.
  • Public GitHub profile with technically meaningful systems work.
  • Demonstrated programming ability in Rust, Go, C, C++, or a similar language.
  • Solid computer-science fundamentals and a genuine interest in systems.
  • Ability to reason clearly about tradeoffs, failure modes, debugging, and personal technical decisions.
  • Strong written and verbal technical communication, ownership, curiosity, and fast learning.

Nice to have

  • Experience with distributed storage, consistency models, consensus, replication, concurrency, networking, or performance engineering.
  • Experience with Kubernetes, cloud infrastructure, virtualization, hypervisors, containers, Firecracker, kernels, operating systems, or low-level runtimes.
  • Systems-focused open-source contributions or published and ongoing systems research with a working implementation.
  • Experience operating infrastructure used by real users or building infrastructure for AI agents and long-running workloads.

Culture & Benefits

  • Paid, full-time internship lasting approximately three months, with exact dates agreed individually.
  • Direct collaboration with Dedalus engineers on production-quality infrastructure rather than a disconnected intern project.
  • Meals and office benefits included.
  • Relocation support may be available.
  • Visa support may be considered depending on the candidate and circumstances.
  • Exceptional interns may be considered for full-time employment, without a guarantee of conversion.

Hiring process

  • Applications are reviewed on a rolling, year-round basis.
  • GitHub is reviewed first, with emphasis on the candidate's personal contribution, technical difficulty, failures, and architectural tradeoffs.

Будьте осторожны: если работодатель просит войти в их систему, используя iCloud/Google, прислать код/пароль, запустить код/ПО, не делайте этого - это мошенники. Обязательно жмите "Пожаловаться" или пишите в поддержку. Подробнее в гайде →