AI Infrastructure Engineer

The role

You will drive end-to-end technical deployments for GPU neocloud and AI Factory customers from bare metal configuration to validated vCluster environments. You will optimize infrastructure, validate Kubernetes, and develop reusable playbooks to scale customer motions.

What you will do

• Drive end-to-end technical deployments for GPU neocloud and AI Factory customers
• Configure and troubleshoot bare metal GPU node infrastructure
• Deploy and validate Kubernetes and vCluster
• Work alongside customer teams to build self-sufficiency
• Document reusable playbooks and deployment architectures
• Collaborate with Engineering and Product to surface recurring infrastructure challenges
• Join Sales in the pre-sales process for deep infrastructure work

Required qualifications

• 5+ years of experience deploying and operating Kubernetes in production
• 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
• Experience with persistent volume configuration, CSI drivers, and distributed systems like Ceph, Rook, Weka, or Longhorn
• Comfort operating in ambiguous, fast-moving environments

Nice to have

• Experience writing automation scripts with Bash, Python, or Go
• Relevant certifications such as CKA (Certified Kubernetes Administrator)
• Experience writing Kubernetes Operators
• Experience with inference serving, GPU scheduling, and the tooling around LLM deployment
• Experience building AI Automation in documentation

Benefits

• Competitive Salary including equity
• Health, dental, vision, and life Insurance
• Flexible Working Schedule
• Workplace Flexibility

About the company

vCluster is a venture-backed startup and the #1 platform for AI infrastructure. They provide a platform that runs the full stack from bare metal provisioning to managed Kubernetes for AI cloud providers.