NVIDIA AI Infrastructure & Kubernetes Engineer

Hi, Position: NVIDIA AI Infrastructure & Kubernetes Engineer (DGX) Location: Remote Duration: 12 Months (Contract) Experience Required : 15+ Work Authorization: USC / GC Only Certification: NVIDIA Certification (Mandatory) Role Overview: Experienced engineers to build and manage AI infrastructure using NVIDIA DGX systems and Kubernetes, supporting large-scale AI/ML workloads with high performance, reliability, and security. Key Responsibilities: • Set up and manage NVIDIA DGX systems (BasePOD / SuperPOD) • Monitor system performance, upgrades, and capacity planning • Ensure GPU cluster health and performance • Build and manage Kubernetes clusters for AI workloads • Deploy containerized applications • Implement CI/CD pipelines and automation • Work with high-speed networking (InfiniBand) • Optimize GPU communication (NVLink / NVSwitch) • Secure Kubernetes environments (RBAC, secrets, policies) Required Skills: • Strong Kubernetes experience (CKA/CKAD/CKS preferred) • Hands-on experience with NVIDIA DGX systems • Experience with GPU workloads & AI/ML infrastructure • Knowledge of InfiniBand or high-performance networking • DevOps experience (CI/CD, GitOps) Good to Have: • Experience with NVIDIA BlueField / UFM tools • Understanding of AI model training & inference workflows Thanks, Shaik Jakeer [Upgrade to PRO to see contact]