Solutions Architect – AI Factory
NVIDIA· Architect, Solutions
Seoul, KoreaOn-sitePosted 3mo ago
About the role
Solutions Architect for AI Factory to assist and support customers building solutions with NVIDIA AI technology, acting as a trusted technical advisor and coordinating between customers and internal deployment teams on AI clusters based on NVIDIA reference architectures.
Responsibilities
- Maintain an up-to-date understanding of the philosophy, architecture, and deployment methods of various evolving NVIDIA Reference Architectures—e.g., NVIDIA DGX SuperPOD Reference Architecture, NVIDIA Cloud Partner Reference Design, and NVIDIA Enterprise Reference Architecture.
- 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.
Qualifications
- 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.
Skills
Required:Kubernetes-based AI infrastructureNVIDIA Reference ArchitecturesNetworking in AI clusters
Last updated Jul 17, 2026. Interested? Apply on the company site.
About NVIDIA
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NVIDIA invents the GPU and drives advances in AI, HPC, gaming, creative design, autonomous vehicles, and robotics.
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