GPU AI Infra Engineer — Production K8s & Bare Metal

vCluster Labs

Singapore

Remote

SGD 180.000 - 280.000

Vollzeit

14 Tage+

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Benefits dieser Stelle

Competitive Salary
Premium Insurance
Flexible Working Schedule
Workplace Flexibility

Zusammenfassung

vCluster Labs is seeking an AI Infrastructure Engineer to deploy and optimize GPU-enabled Kubernetes environments for enterprise customers. You will drive from bare metal setup to production-grade clusters, delivering repeatable playbooks and strong customer handover.

You will collaborate with Sales and Engineering to shape infrastructure strategies, write automation, and scale deployments across diverse cloud and on-prem environments.

Qualifikationen

  • 5+ years of experience deploying and operating Kubernetes in production, ideally on bare metal or in high-complexity environments.
  • Practical knowledge of NVIDIA GPU Operators, CUDA tooling, and systems-level configuration for GPU nodes.
  • Deep understanding of CNI plugins, overlay networks, load balancing, and connectivity diagnosis in layered environments.
  • Experience with persistent volumes, CSI drivers, and distributed storage like Ceph, Rook, Longhorn, or similar.
  • Ability to write automation scripts and playbooks to speed deployments and support customers.

Aufgaben

  • Lead end-to-end technical deployments for GPU neocloud and AI Factory customers, from bare metal configuration to a validated vCluster environment.
  • Configure and troubleshoot bare metal GPU node infrastructure including CNI, GPU Operator, storage backends, and RDMA/InfiniBand.
  • Deploy and validate Kubernetes and vCluster to provide GPU-powered managed K8s.
  • Collaborate with customer teams to build self-sufficiency and scalable playbooks.
  • Document deployment architectures to accelerate future customer engagements.
  • Provide feedback to Engineering and Product to improve infrastructure tooling and roadmap.
  • Participate in pre-sales discussions where deep infrastructure work is required.

Kenntnisse

Kubernetes
GPU tooling
Networking
Storage
Automation
Open source

Tools

NVIDIA GPU Operators
CUDA tooling
Ceph
Rook
Longhorn
Kubernetes Operators

Jobbeschreibung

vCluster Labs is seeking an AI Infrastructure Engineer to deploy and optimize GPU-enabled Kubernetes environments for enterprise customers. You will drive from bare metal setup to production-grade clusters, delivering repeatable playbooks and strong customer handover.

You will collaborate with Sales and Engineering to shape infrastructure strategies, write automation, and scale deployments across diverse cloud and on-prem environments.

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