AI Infrastructure Engineer

vCluster is a platform for AI infrastructure that helps AI cloud providers and enterprises operate GPU-based infrastructure and managed Kubernetes environments. The AI Infrastructure Engineer leads customer deployments from bare metal GPU configuration through production-ready Kubernetes and vCluster environments, while developing deployment playbooks, transferring knowledge, and collaborating with Sales, Engineering, and Product.

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