NVIDIA Solutions Architect - AI Factory

한 줄 요약

NVIDIA Solutions Architect - AI Factory — NVIDIA · Korea, Seoul · Full time. 현재 상태: 진행·예정.

정보 갱신일 2026-10-21

조건·일정 확인

기관·대학

NVIDIA

지역·근무지

Korea, Seoul

고용 형태

Full time

학력

학사 이상

담당 업무

• 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.
• Bachelor’s degree or higher in Computer Science, Computer Engineering, or a related technical field.
• Minimum of 7 years of hands-on experience designing, deploying, and operating AI training or inference clusters with sever, 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.
• 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.
• Minimum of 5+ years of hands-on experience designing, deploying, and operating AI training or inference clusters with sever, storage, and network, that leverage Kubernetes with NVIDIA GPUs.

공식 출처와 다음 단계

원천 정보 갱신: 2026. 10. 21. PM 5:06

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