AI Infrastructure Engineer

vCluster is a platform for AI infrastructure that helps AI cloud providers and enterprises build managed services on GPU infrastructure. The AI Infrastructure Engineer leads technical deployments for GPU neocloud and AI Factory customers, optimizing bare metal GPU environments and validating Kubernetes and vCluster deployments. The role also involves customer knowledge transfer, creating reusable deployment playbooks, collaborating with Engineering and Product, and supporting pre-sales proof-of-value engagements.

Responsibilities:

• Lead Technical Deployments: Drive end-to-end technical deployments for GPU neocloud and AI Factory customers, from initial bare metal configuration to a validated vCluster environment
• Infrastructure Optimization: Configure and troubleshoot bare metal GPU node infrastructure, including CNI configuration, GPU Operator setup, distributed storage backends, and RDMA/InfiniBand
• Validation: Deploy and validate Kubernetes and vCluster to provide GPU-powered managed K8s
• Knowledge Transfer: Work alongside customer teams to build self-sufficiency, ensuring they can operate and grow the platform independently
• Scaling through Documentation: Document reusable playbooks and deployment architectures so your learnings become the next customer's head start
• Feedback Loop: Collaborate with Engineering and Product to surface recurring infrastructure challenges, acting as a direct feedback loop from the field into the roadmap
• Strategic Partnering: Join Sales in the pre-sales process where deep infrastructure work is required to achieve a meaningful proof of value