AI Infrastructure Engineer

Job summary

As vCluster’s AI Infrastructure Specialist, you will work directly with customers at the earliest and most critical stage of their journey: from bare metal GPU nodes through to a production-ready deployment. This is not a traditional professional services role; you operate pre-sale as part of a proof of value engagement scoped to reach production. You will be one of the first team members a neocloud or AI Factory engages with at a technical depth, and the playbooks you develop will scale the motion for the next hire and customer.

Qualifications

• 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 volume configuration, CSI drivers, and distributed systems like Ceph, Rook, Weka, or Longhorn.
• Comfort operating in ambiguous, fast-moving environments.
• Thrive in environments that reject legacy tech and prefer a modern stack.
• Experience writing automation scripts with Bash, Python, or Go (bonus).
• Relevant certifications such as CKA or experience writing Kubernetes Operators (bonus).
• Experience with inference serving, GPU scheduling, and tooling around LLM deployment (bonus).
• Experience building AI Automation in documentation to contribute to a shared knowledge base (bonus).

Responsibilities

• Lead 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 configuration, GPU Operator setup, distributed storage backends, and RDMA/InfiniBand.
• Deploy and validate Kubernetes and vCluster to provide GPU-powered managed Kubernetes.
• Work alongside customer teams to build self-sufficiency, ensuring independent operation and growth of the platform.
• Document reusable playbooks and deployment architectures.
• Collaborate with Engineering and Product to surface recurring infrastructure challenges, providing direct feedback into the roadmap.
• Join Sales in the pre-sales process where deep infrastructure work is required for proof of value.

Skills

Certifications

Relocation