Solutions Architect – AI Factory

NVIDIA is seeking an outstanding Solutions Architect for AI Factory to assist and support customers that are building solutions with our newest AI technology.

You will become a trusted technical advisor with our customers and work on exciting projects and proof-of-concepts passionate about AI Factory.

Responsibilities:

• Maintain an up-to-date understanding of the philosophy, architecture, and deployment methods of various evolving NVIDIA Reference Architectures.
• Analyze and understand the requirements of customer-initiated AI training or inference clusters.
• Identify the NVIDIA Reference Architecture that best matches customer needs and effectively communicate its value proposition to collaborators.
• Facilitate seamless communication between NVIDIA's internal deployment teams and customers during the implementation of AI clusters based on Reference Architectures.
• Provide hands-on technical support to developers after the AI Factory has been deployed, ensuring that AI training and inference workloads run effectively on the infrastructure.

Requirements:

• Bachelor’s degree or higher in Computer Science, Computer Engineering, or a related technical field.
• Minimum of 5+ years of hands-on experience designing, deploying, and operating AI training or inference clusters with server, storage, and network, that leverage Kubernetes with NVIDIA GPUs.
• Foundational knowledge and experience with networking technologies,such as InfiniBand and Ethernet,in AI cluster environments, including compute fabric interconnects between GPU servers, storage fabric integration, and out-of-band and in-band management fabrics.

Preferred Qualifications:

• Proficiency in key technologies including: Container Runtime Interface (CRI), Container Network Interface (CNI), Calico, NVIDIA GPU Operator, NVIDIA Network Operator, and Kubeflow Training Operator.
• Knowledge and experience of facilities being used in building AI Factories, including cooling devices, power distribution, or plumbing.