Назад
Company hidden
4 дня назад

Staff AI Infrastructure Engineer

235 000 - 353 000$
Формат работы
hybrid
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
Staff AI Infrastructure Engineer (GPU Infrastructure/AI): Architecting and operating Luma's 10k+ GPU fleet, including scheduling, resource management, reliability, and inference systems with an accent on Linux, distributed systems, Kubernetes, and low-level infrastructure behavior. Focus on debugging failures across hardware, kernels, runtimes, and orchestration, improving utilization under extreme demand, and building the systems required for new model capabilities.

Location: Redwood City, California, United States; hybrid

Base salary: $235,000–$353,000 annually, plus equity

Company

hirify.global builds unified general intelligence that can generate, understand, and operate in the physical world, with a focus on multimodal intelligence and vision.

What you will do

  • Architect and operate a heterogeneous fleet of more than 10,000 GPUs under extreme demand.
  • Improve infrastructure utilization, performance, scheduling, placement, and resource management as cluster size and concurrency grow.
  • Debug failures across hardware, operating systems, kernels, runtimes, containers, networking, storage, and orchestration.
  • Partner with research and product teams to build infrastructure for new model capabilities and scale inference while maintaining reliability and latency.
  • Set company-wide reliability standards, shape research and product architecture, and eliminate recurring classes of instability.
  • Hire, develop, and mentor systems and reliability engineers.

Requirements

  • Deep expertise in Linux and distributed systems.
  • Production experience operating GPU or accelerator clusters.
  • Strong proficiency with Kubernetes and modern open-source infrastructure.
  • Ability to debug across hardware, kernels, runtimes, and orchestration, including behavior under contention and at scale.
  • Ability to write code, build automation, and reason about bottlenecks, failure modes, and trade-offs.
  • Strong technical judgment and production ownership in high-severity failure situations.

Nice to have

  • Experience raising reliability standards across a company and influencing product and research architecture early.
  • Ability to build strong engineering partnerships and attract and develop experienced engineers.
  • Curiosity about how models use infrastructure and how systems improvements expand model capabilities.

Culture & Benefits

  • Hybrid work in Redwood City, California.
  • Equity offered in addition to base salary.
  • Equal opportunity employment.

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 →