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1 день назад

Engineering Manager, Datacenter Storage Engineering (AI)

150 000 - 240 000$
Формат работы
remote (только USA)
Тип работы
fulltime
Грейд
lead
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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TL;DR

Engineering Manager, Datacenter Storage Engineering (AI): Leading the team responsible for distributed storage infrastructure across all regions with an accent on high-performance SAN and NFS systems for GPU-centric compute. Focus on designing and operating large-scale storage architectures, including VAST Data and parallel filesystems like Lustre, to support AI training and inference workloads.

Location: Must be based in the USA

Salary: $150,000 - $240,000 USD

Company

hirify.global is a rapidly growing, remote-first company providing cloud infrastructure for full-stack AI applications, enabling developers to build and scale custom AI systems.

What you will do

  • Define and operate global storage platforms supporting training, inference, and dataset access at scale.
  • Manage and grow a team of storage and systems engineers, setting technical direction and operational standards.
  • Design and operate large-scale SAN and NFS deployments for GPU clusters.
  • Lead deployments of VAST Data and parallel filesystems like Lustre.
  • Drive performance optimization across the stack, from NAND/NVMe media to client access patterns.
  • Partner with Networking, GPU Platform, and SRE teams to ensure storage meets workload requirements.

Requirements

  • Must be based in the USA
  • 3+ years of experience managing storage, systems, or infrastructure engineering teams in production.
  • 8+ years of experience designing and operating large-scale storage systems at multi-petabyte scale.
  • Hands-on experience deploying and operating VAST Data in production.
  • Experience with Lustre or comparable HPC parallel filesystems.
  • Deep knowledge of Linux internals, storage controllers, and high-performance data paths like NFS over RDMA.
  • Successful completion of a background check.

Nice to have

  • Experience supporting AI training pipelines and large-scale model checkpointing.
  • Familiarity with RDMA fabrics and multi-tenant isolation.
  • Background in hyperscale, HPC, or AI-focused infrastructure.

Culture & Benefits

  • Meaningful equity in a fast-growing company.
  • Generous medical, dental, and vision plans.
  • Flexible PTO policy.
  • Remote-first work environment with collaborative team culture.
  • Opportunity to work on cutting-edge AI infrastructure.

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