Назад
Company hidden
обновлено 3 дня назад

Intelligent Infrastructure Engineer (AI)

100 000 - 150 000$
Формат работы
remote (только USA)
Тип работы
fulltime
Грейд
senior
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
Intelligent Infrastructure Engineer (AI): Designing, building, and operating the platform layer for large-scale AI training and inference workloads with an accent on GPU clusters, distributed training, scheduling, storage performance, and developer experience. Focus on operating production AI infrastructure at scale, integrating hardware, kernels, schedulers, and ML frameworks, and improving reliability, efficiency, and cost control.

Location: 100% remote within the United States

Salary: $100,000–$150,000 annually

Company

hirify.global is a technology consulting and software development company delivering cloud, AI, data, and enterprise solutions across the United States.

What you will do

  • Design, build, and operate the platform layer for large-scale AI training and inference workloads.
  • Operate GPU clusters, distributed training frameworks, scheduling systems, and high-performance storage.
  • Improve infrastructure reliability, efficiency, developer experience, and cost control for ML engineers and researchers.
  • Integrate hardware, kernels, schedulers, networking, and ML frameworks across production environments.
  • Apply software engineering practices including testing, CI/CD, code review, and cross-functional collaboration.

Requirements

  • Bachelor’s or Master’s degree in Computer Science or a related field.
  • Six or more years of experience in infrastructure, platform, or HPC engineering.
  • Hands-on experience operating GPU clusters or large-scale ML training infrastructure.
  • Strong proficiency in Python and at least one systems language such as Go or C++.
  • Deep understanding of distributed training, accelerator architectures, collective communication, Linux internals, networking, and high-performance storage.
  • Experience with Kubernetes, Slurm, Ray, or similar ML workload scheduling systems and at least one major cloud provider’s ML infrastructure offerings.

Nice to have

  • Experience operating InfiniBand or RDMA networking at scale.
  • Contributions to open-source ML infrastructure projects.
  • Familiarity with custom orchestrators or research-grade training stacks.
  • Exposure to frontier model training operations.
  • Experience with FinOps for AI workloads.

Culture & Benefits

  • Full-time direct W2 employment.
  • Career growth opportunities within an established organization.
  • Remote work arrangement for candidates located in the United States.
  • U.S. Citizens, Green Card Holders, EAD Holders, and H-1B transfer candidates are encouraged to apply.
  • New H-1B visa petitions cannot be sponsored for this position.

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 →