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Senior Solutions Architect (AI, HPC & Lustre)

197 200 - 255 200$
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
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Описание вакансии

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TL;DR
Senior Solutions Architect (AI, HPC & Lustre): Architecting and scaling high-performance storage solutions for AI/ML, analytics, and HPC workloads across on-premises infrastructure, NeoCloud, and AI hyperscaler GPU environments with an accent on Lustre-based parallel file systems, GPU utilization, and extreme-throughput data pipelines. Focus on designing petabyte-scale architectures, optimizing I/O bottlenecks and data movement, and demonstrating performance through benchmarks, proofs of concept, and pilot environments.

Location: Remote within the United States; frequent travel across the United States is required.

Salary: USD 197,200–255,200 annual target salary range, including potential commission as part of OTE.

Company

hirify.global delivers intelligent data infrastructure, unified storage, data services, and cloud-integrated solutions for enterprise workloads including AI and multicloud environments.

What you will do

  • Lead advanced customer discussions on AI, analytics, HPC architectures, and data-intensive workloads.
  • Assess GPU clusters, storage pipelines, performance bottlenecks, and opportunities for Lustre-based acceleration.
  • Architect hirify.global E-Series and Lustre storage solutions spanning on-premises infrastructure, NeoCloud, and AI hyperscaler GPU environments.
  • Partner with Client Executives and Sales Engineers to align AI, HPC, and storage strategies with account plans.
  • Deliver workshops, technical sessions, demonstrations, benchmarks, proofs of concept, and pilots focused on infrastructure performance and GPU efficiency.
  • Develop AI infrastructure and HPC storage pipeline opportunities, contribute to RFP/RFI responses, and provide product feedback.

Requirements

  • 7+ years of experience in Solutions Architecture, pre-sales, or customer-facing technical roles focused on AI/ML, HPC, or high-performance data platforms.
  • Hands-on experience with parallel file systems, preferably Lustre, or other HPC storage architectures.
  • Experience with GPU-accelerated workloads, NVIDIA ecosystems, distributed training environments, and AI/ML frameworks such as PyTorch or TensorFlow.
  • Strong understanding of high-performance storage, block and parallel file systems, throughput optimization, I/O bottlenecks, and storage scaling.
  • Knowledge of HPC compute, storage, high-speed networking, InfiniBand, RDMA, high-speed Ethernet, and distributed data pipelines.
  • Exceptional communication skills and the ability to translate complex HPC and storage concepts into business value.

Nice to have

  • Experience with BeeGFS, NVIDIA DGX, CUDA, DGX SuperPOD, CoreWeave, Lambda, or Crusoe environments.

Culture & Benefits

  • Hybrid company environment with flexibility and in-office or in-person expectations varying by role.
  • Health insurance, life insurance, retirement or pension plans, paid time off, and leave options.
  • Employee stock purchase plan and/or restricted stock units, subject to regional policies.
  • Collaborative culture emphasizing initiative, impact, ownership, inclusion, and work-life balance.

Hiring process

  • Applications are reviewed only when submitted through the company website.
  • Some hiring stages for select roles may use AI tools to support human evaluation and selection.

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