Senior Cloud & DevOps Architect — GPU-Accelerated AI/HPC

NVIDIA

United Kingdom

On-site

GBP 110,000 - 170,000

Full time

16 hours ago
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Job summary

NVIDIA is seeking a Senior Cloud Infrastructure and DevOps Solutions Architect to join the NVIDIA Infrastructure Specialist Team. You will engage with customers, partners, and cross-functional teams to architect and guide large-scale GPU-accelerated infrastructure projects and open platforms such as upstream Kubernetes, KubeVirt, Slurm, and Prometheus/Grafana.

You will lead Day 1 to Day 2 lifecycle from hardware handover to production-stable platforms, through validation, deployment, and

Qualifications

  • BS/MS/PhD in Computer Science, Electrical/Computer Engineering, Physics, Mathematics, or related fields, or equivalent experience.
  • 8+ years in managing scalable cloud environments and automation engineering roles.
  • Hands-on experience managing HPC/AI clusters and NVIDIA GPU-accelerated infrastructure, including deployment, driver and CUDA toolkit management, optimization, workload profiling and troubleshooting.

Responsibilities

  • Own full-solution validation on the partner software stack, including cluster-wide stability testing and multi-day burn-in.
  • Reduce time from cluster handover to first production workload across hardware bring-up and partner operations teams.
  • Own Day 2 production stability at fleet scale: monitoring, logging and workload orchestration, fault detection and remediation.

Skills

Cloud infrastructure
Kubernetes
Automation
Python
Bash
GitOps
Observability

Education

BS/MS/PhD in CS/EE/Physics or related

Tools

KubeVirt
Slurm
Prometheus
Grafana

Job description

NVIDIA is seeking a Senior Cloud Infrastructure and DevOps Solutions Architect to join the NVIDIA Infrastructure Specialist Team. You will engage with customers, partners, and cross-functional teams to architect and guide large-scale GPU-accelerated infrastructure projects and open platforms such as upstream Kubernetes, KubeVirt, Slurm, and Prometheus/Grafana.

You will lead Day 1 to Day 2 lifecycle from hardware handover to production-stable platforms, through validation, deployment, and

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