AI Infrastructure Engineer
vCluster Labs22 hours ago
Remote, United States or Remote, EMEASenior
Responsibilities
- Lead end-to-end technical deployments for GPU neocloud and AI Factory customers from bare-metal configuration through validated vCluster environments.
- Configure and troubleshoot GPU node infrastructure, including CNI, GPU Operators, distributed storage, and RDMA/InfiniBand.
- Deploy and validate Kubernetes and vCluster for GPU-powered managed Kubernetes environments.
- Work with customer teams to transfer operational knowledge and build platform self-sufficiency.
- Create reusable deployment playbooks and architectures through documentation.
- Collaborate with Engineering and Product to surface recurring infrastructure challenges and influence the roadmap.
- Support Sales in pre-sales proof-of-value engagements requiring deep infrastructure expertise.
Requirements
- 5+ years of experience deploying and operating Kubernetes in production, preferably on bare metal or in high-complexity environments.
- Practical knowledge of NVIDIA GPU Operators, CUDA tooling, and systems-level GPU node configuration.
- Deep understanding of CNI plugins, overlay networks, load balancing, and connectivity diagnosis.
- Experience with persistent volumes, CSI drivers, and distributed storage systems such as Ceph, Rook, Weka, or Longhorn.
- Ability to operate effectively in ambiguous, fast-moving environments and develop playbooks in real time.
- Experience writing automation scripts with Bash, Python, or Go is a bonus.
- CKA certification or experience writing Kubernetes Operators is a bonus.
- Experience with inference serving, GPU scheduling, and LLM deployment tooling is a bonus.
- Experience building AI automation in documentation and contributing to a shared knowledge base is a bonus.
Benefits
- Competitive compensation package including equity.
- Health, dental, vision, and life insurance for employees and eligible dependents, with benefits varying by country.
- Flexible working schedule.
- Remote-first workplace flexibility with a distributed global team.
Tech Stack
Categories
Solutions Engineering
About vCluster Labs
vCluster Labs builds open-source and commercial tools that simplify Kubernetes multi-tenancy and platform operations for platform engineering and SRE teams. Its products include vCluster (virtual clusters for tenant isolation), DevPod, JsPolicy, and an Infrastructure Tenancy Platform for AI with an NVIDIA-validated DGX reference architecture. Privately held and headquartered in San Francisco, it reports 100+ enterprises using its solutions across EKS, AKS, GKE, and k3s environments.