Datacenter GPU Deployment Engineer

Radian Arc Limited

Polska

Hybrid

PLN 240,000 - 360,000

Full time

9 days ago
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Job summary

Radian Arc Limited seeks a hands-on Infrastructure Engineer to deploy and operate GPU cloud deployments in data centers. You will coordinate with datacenter providers, engineers, and logistics to bring up rack-ready systems, validate network and storage, and ensure platform readiness.

The role spans hardware bring-up, network validation, and platform installation with strong emphasis on practical field work and cross-team collaboration in a fast‑growing AI infrastructure environment.

Qualifications

  • Hands-on experience deploying and maintaining datacenter infrastructure.
  • Experience with GPU, HPC, AI cloud deployments in production.
  • Familiarity with NVL72-style rack architectures and high-density compute requirements.
  • Comfort working across physical infrastructure, Linux, networking, and platform software.

Responsibilities

  • Coordinate physical deployment activities with datacenter providers and internal teams.
  • Validate rack layouts, power, cabling, and labeling before installation.
  • Bring up GPU servers, platform servers, storage nodes, and networking gear.
  • Validate BIOS, firmware, NIC, DPU, GPU, and storage components.
  • Support network validation including BGP/EVPN/VXLAN configurations.
  • Install and validate platform stack (Docker, Kubernetes, KVM/QEMU).
  • Perform acceptance tests and handover documentation.
  • Participate in on-call rotations and field escalations.

Skills

GPU datacenter deployment
Linux system administration
Networking & routing
Kubernetes / KubeVirt
NVIDIA drivers & DCGM
Redfish / IPMI
Rack cabling & power
Hardware validation
DC/Platform automation

Tools

NVIDIA CUDA drivers
KVM/QEMU
StorPool / Weka
VyOS / Networking OS
Docker / containerd
Prometheus / Grafana / Zabbix

Job description

Radian Arc Limited seeks a hands-on Infrastructure Engineer to deploy and operate GPU cloud deployments in data centers. You will coordinate with datacenter providers, engineers, and logistics to bring up rack-ready systems, validate network and storage, and ensure platform readiness.

The role spans hardware bring-up, network validation, and platform installation with strong emphasis on practical field work and cross-team collaboration in a fast‑growing AI infrastructure environment.

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