Назад
Company hidden
8 часов назад

Senior GPU Capacity and Optimization Planner (AI Infrastructure)

160 000 - 195 000$
Формат работы
onsite
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
Senior GPU Capacity and Optimization Planner (AI Infrastructure) (GPU capacity planning and cloud infrastructure): Managing and optimizing Crusoe Cloud’s high-performance GPU fleet with an accent on bin-packing, cluster utilization, and capacity allocation. Focus on translating commercial pipeline demand into datacenter hardware requirements, forecasting AI workload needs, and designing scalable scheduling and visualization tools.

Location: On-site in San Francisco, CA; Bellevue, WA; or Sunnyvale, CA, US

Salary: $160,000–$195,000 annually plus bonus and Restricted Stock Units

Company

hirify.global is an AI infrastructure company operating vertically integrated systems from energy and physical infrastructure through cloud services, with a focus on sustainable computing.

What you will do

  • Develop and execute GPU fleet bin-packing strategies to minimize fragmentation and maximize accelerated-compute cluster utilization.
  • Partner with Sales, Customer Success, and Solutions Engineering to translate customer pipeline demand into datacenter hardware requirements.
  • Coordinate with Fleet Management, Infrastructure Engineering, and Data Center Operations to support workload uptime and capacity execution.
  • Build utilization models tracking GPU cluster headroom, workload density, and allocation velocity.
  • Forecast demand based on commercial signals and large-scale AI training and inference trends to guide hardware placement and scheduling.
  • Work with Core Software Engineering to automate allocation, scheduling, and visualization processes.

Requirements

  • 3+ years of experience in infrastructure capacity planning, technical product management, or systems engineering involving machine-level resource scaling.
  • Experience in a hyperscaler cloud environment such as AWS, GCP, Azure, or Oracle Cloud, or in a large-scale accelerated-compute cloud fabric.
  • Foundational knowledge of GPU topologies, including NVIDIA H100 and B200 ecosystems.
  • Ability to communicate infrastructure and physical-layout constraints to business stakeholders and translate commercial requirements for hardware engineering teams.
  • Bachelor’s or Master’s degree in Computer Engineering, Computer Science, Operations Research, Industrial Engineering, Data Science, or an equivalent quantitative field.
  • Technical familiarity with distributed AI training frameworks and multi-tenant cloud storage dynamics.

Nice to have

  • Experience aligning large-scale computing infrastructure with environmental sustainability initiatives.

Culture & Benefits

  • Competitive compensation, equity, and Restricted Stock Units.
  • Paid time off, holidays, leave programs, parental leave, and volunteer time off.
  • Health, dental, vision, life, disability, and mental health coverage, plus HSA contributions.
  • Professional development, tuition reimbursement, commuter benefits, cell phone stipend, and daily meals allowance.
  • 401(k) retirement plan with employer matching up to 4% of salary, plus global travel insurance and location-specific programs.

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 →