Solutions Architect – AI Factory

Responsibilities

• Maintain an up-to-date understanding of NVIDIA Reference Architectures, including DGX SuperPOD and Cloud Partner designs
• Analyze customer requirements for AI training or inference clusters
• Identify and communicate the value of appropriate NVIDIA Reference Architectures to collaborators
• Facilitate communication between internal deployment teams and customers during AI cluster implementation
• Provide hands-on technical support to developers to ensure effective AI workloads on deployed infrastructure

Requirements

• Bachelor’s degree or higher in Computer Science, Computer Engineering, or a related technical field
• 5+ years of experience designing, deploying, and operating AI training or inference clusters
• Hands-on experience with server, storage, and network technologies leveraging Kubernetes with NVIDIA GPUs
• Foundational knowledge of networking technologies such as InfiniBand and Ethernet in AI cluster environments

Preferred Qualifications

• Proficiency in Container Runtime Interface (CRI) and Container Network Interface (CNI)
• Experience with Calico, NVIDIA GPU Operator, and NVIDIA Network Operator
• Experience with Kubeflow Training Operator
• Knowledge of AI Factory facility requirements including cooling, power distribution, or plumbing