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HPC Architect (AI Infrastructure)

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

HPC Architect (AI Infrastructure): Establishing technical qualification standards and vetting global compute providers with an accent on cluster architecture, network fabric, and hardware performance. Focus on building a rigorous acceptance test suite and validating GPU clusters to ensure production-grade stability.

Location: North America Remote / San Francisco, CA

Company

hirify.global provides early-stage startups with access to scaled AI infrastructure, building a liquidity layer for global AI compute.

What you will do

  • Vet prospective compute providers by assessing cluster architecture, GPU hardware, network fabric, storage, and orchestration.
  • Define the technical qualification bar, building acceptance test suites and benchmark methodologies from scratch.
  • Perform hands-on validation, including burn-in testing, fabric validation (InfiniBand/RoCE), and NCCL benchmarks.
  • Guide provider data-center and platform engineers through technical onboarding and configuration tuning.
  • Partner with the compute procurement team to perform technical due diligence on new providers.
  • Maintain technical relationships with existing providers to identify architectural or quality drift.

Requirements

  • Deep HPC experience designing, building, or operating GPU clusters at scale.
  • Strong knowledge of network fabrics, specifically InfiniBand and RoCE.
  • Experience with distributed orchestration and HPC software stacks (Slurm, Kubernetes, OpenMPI, Linux).
  • Data-center literacy covering power, cooling, cabling, and physical-layer realities.
  • Ability to design non-gameable benchmarking tests for large-scale training workloads.
  • Capability to write precise, testable technical standards for external engineering teams.

Nice to have

  • Experience working within a neocloud, hyperscaler, or colocation provider.
  • Deep expertise in NVIDIA data-center GPU platforms (DGX/HGX, NVLink/NVSwitch).
  • Experience supporting AI research labs and familiarity with training workload bottlenecks.
  • Background in cluster acceptance testing or site bring-up.

Culture & Benefits

  • High-growth environment at the center of the AI infrastructure boom.
  • High level of ownership as the first HPC Architect for the solutions engineering team.
  • Competitive compensation with meaningful equity.
  • Comprehensive healthcare, dental, and vision coverage for employees and dependents.
  • 401(k) retirement plan and unlimited PTO.

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