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5 часов назад

Member of Technical Staff (AI Infrastructure)

150 000 - 350 000$
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

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TL;DR
Member of Technical Staff (AI Infrastructure) (Distributed Systems): Building scheduling, orchestration, and control-plane systems for heterogeneous AI compute across GPUs, CPUs, and emerging accelerators with an accent on distributed systems, fault tolerance, concurrency, and workload routing. Focus on designing production infrastructure from first principles, solving complex scheduling and orchestration challenges, and integrating with compilers, runtimes, kernels, and hardware.

Location: Fully onsite in San Francisco, California, United States

Salary: $150,000–$350,000 base salary plus equity

Company

hirify.global is hiring for a rapidly growing AI infrastructure company building an orchestration layer for heterogeneous AI compute.

What you will do

  • Build scheduling, orchestration, and control-plane systems for production AI infrastructure.
  • Partition, schedule, and route inference workloads across GPUs, CPUs, and emerging accelerators.
  • Design distributed systems and infrastructure components from first principles.
  • Work on fault tolerance, concurrency, asynchronous messaging, and workload coordination.
  • Collaborate with specialists in compilers, runtimes, kernels, and hardware.

Requirements

  • Strong production experience building distributed systems.
  • Experience with scheduling, orchestration, fault tolerance, and concurrency.
  • Knowledge of Kubernetes, RPC frameworks, asynchronous messaging, or control-plane infrastructure.
  • Strong programming experience in Go, C++, or Python.
  • Ability to work onsite in San Francisco, California.

Nice to have

  • Experience with AI infrastructure or heterogeneous compute.

Culture & Benefits

  • Work with a highly technical team focused on difficult infrastructure problems at scale.
  • Collaborate with frontier AI labs, hyperscalers, and AI-native companies.
  • Join a company of approximately 30 people that has raised an $80 million Series A and generated significant revenue since emerging from stealth.
  • Compensation includes base salary and equity.

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