GPU AI Infra Engineer for Bare-Metal Kubernetes

vCluster Labs; United States; Remote; USD 180,000 - 260,000; Full time

Benefits offered by this job

Competitive Salary

Platinum-Level Insurance

Flexible Working Schedule

Workplace Flexibility

Job summary

vCluster Labs seeks an AI Infrastructure Specialist to drive GPU-focused Kubernetes deployments from bare metal to production-ready vCluster environments. You will work pre-sales as part of proof-of-value engagements and help customers scale installations across environments.

Ideal candidates have 5+ years operating Kubernetes in production, with hands-on NVIDIA GPU tooling and distributed storage experience. This role emphasizes fast-moving, collaborative problem solving in a remote-first setup.

Qualifications

• 5+ years of experience deploying and operating Kubernetes in production, ideally on bare metal or in high-complexity environments.
• Hands-on experience with NVIDIA GPU Operators, CUDA tooling, and systems-level configuration for GPU nodes.
• Deep understanding of CNI plugins, overlay networks, load balancing, and connectivity in layered environments.
• Experience with persistent volumes and distributed storage backends (Ceph, Rook, Longhorn).
• Ability to write playbooks and runbooks in real time in ambiguous, fast-moving environments.

Responsibilities

• Lead end-to-end technical deployments for GPU neocloud and AI Factory customers, from bare metal to validated vCluster environments.
• Configure and troubleshoot bare metal GPU node infrastructure, including CNI, GPU Operator, and storage backends.
• Deploy and validate Kubernetes and vCluster to provide GPU-powered managed K8s.
• Work with customer teams to build self-sufficiency and platform adoption.
• Document reusable playbooks and deployment architectures for future customers.
• Provide feedback to Engineering/Product on infrastructure challenges for the roadmap.
• Partner with Sales in pre-sales to support value realization.

Skills

Kubernetes deployments

Bare metal GPU

Kubernetes validation

Customer enablement

Documentation

Pre-sales collaboration

Tools

NVIDIA GPU Operators

CUDA tooling

CNI

RDMA/InfiniBand

Ceph/Rook/Longhorn

Kubernetes Operators

Job description

vCluster Labs seeks an AI Infrastructure Specialist to drive GPU-focused Kubernetes deployments from bare metal to production-ready vCluster environments. You will work pre-sales as part of proof-of-value engagements and help customers scale installations across environments.

Ideal candidates have 5+ years operating Kubernetes in production, with hands-on NVIDIA GPU tooling and distributed storage experience. This role emphasizes fast-moving, collaborative problem solving in a remote-first setup.