AI Infrastructure Engineer
Core
Lead technical deployments and infrastructure optimization for GPU neocloud and AI Factory customers, configuring bare metal GPU nodes and validating Kubernetes environments.
Role type
Senior IC AI Infrastructure Engineer
Builds
Production-ready GPU-powered managed Kubernetes clusters on bare metal infrastructure
Domain
Cloud Infrastructure / GPU Computing / Kubernetes
Deliverable
production ML models
Required skills
Kubernetes production deployment, GPU node configuration, CNI and networking, distributed storage systems, infrastructure automation
Preferred skills
Kubernetes Operator development, AI/ML inference serving, infrastructure documentation
Technologies
Kubernetes, NVIDIA GPU Operators, CUDA, Ceph, Rook, Weka, Longhorn, InfiniBand, Bash, Python, Go
Responsibilities
Drive end-to-end technical deployments from bare metal to validated vCluster environment, configure and troubleshoot GPU node infrastructure including RDMA/InfiniBand, deploy and validate Kubernetes and vCluster, document reusable playbooks and deployment architectures, collaborate with Engineering and Product to surface infrastructure challenges, join Sales in pre-sales for proof of value engagements
Seniority
Senior, hands-on IC
