Hybrid HPC Datacenter Architect & Product Owner

Nebul

Poland

Hybrid

PLN 389,610 - 519,480

Full time

14 days+

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Benefits offered by this job

Equity options
Career growth opportunities
Hybrid work setup

Job summary

Nebul is building Europe’s sovereign cloud infrastructure and seeks a Product Owner / Architect for Datacenter & Infrastructure. You will define the roadmap and architecture for HPC datacenter platforms, including procurement, reference architecture, power infrastructure and high-speed networking with NVIDIA/Mellanox.

You will own the datacenter infrastructure strategy, guide procurement, and collaborate with engineering and operations to ensure optimal performance and delivery of AI-ready

Qualifications

  • 5+ years of experience in datacenter infrastructure and architecture.
  • Experience with procurement, reference architectures, and high-performance networking.
  • Familiar with NVIDIA GPU platforms and networking technologies (Ethernet/InfiniBand).
  • Strong communication and ability to translate complex infra requirements into scalable designs.

Responsibilities

  • Own and drive the full datacenter infrastructure strategy including power design and network architecture.
  • Lead procurement of hardware and define reference architecture for HPC compute environments.
  • Collaborate with engineering and operations to ensure delivery and performance, interfacing with vendors.

Skills

Datacenter infrastructure
Procurement
Architecture design
Networking
NVIDIA GPUs

Tools

OpenStack
Kubernetes
Infrastructure automation

Job description

Nebul is building Europe’s sovereign cloud infrastructure and seeks a Product Owner / Architect for Datacenter & Infrastructure. You will define the roadmap and architecture for HPC datacenter platforms, including procurement, reference architecture, power infrastructure and high-speed networking with NVIDIA/Mellanox.

You will own the datacenter infrastructure strategy, guide procurement, and collaborate with engineering and operations to ensure optimal performance and delivery of AI-ready

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