Description
NVIDIA is seeking an outstanding Solutions Architect for AI Factory to assist and support customers building solutions with the newest AI technology.
As a Solutions Architect, you will become a trusted technical advisor to customers and work on exciting projects and proof-of-concepts related to AI Factory. This role involves working in an interdisciplinary team with the latest technologies at NVIDIA.
Responsibilities:
- Maintain an up-to-date understanding of NVIDIA Reference Architectures, such as NVIDIA DGX SuperPOD Reference Architecture, NVIDIA Cloud Partner Reference Design, and NVIDIA Enterprise Reference Architecture.
- Analyze customer requirements for AI training or inference clusters and identify matching NVIDIA Reference Architectures.
- Facilitate communication between NVIDIA's internal deployment teams and customers during AI cluster implementation.
- Provide hands-on technical support to developers after AI Factory deployment.
Requirements:
- 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 server, storage, and network, leveraging Kubernetes with NVIDIA GPUs.
- Foundational knowledge and experience with networking technologies, such as InfiniBand and Ethernet, in AI cluster environments.
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 used in building AI Factories, including cooling devices, power distribution, or plumbing.
This listing is enriched and indexed by YubHub. To apply, use the employer's original posting:
https://nvidia.wd5.myworkdayjobs.com/en-US/NVIDIAExternalCareerSite/job/Korea-Seoul/Solutions-Architect---AI-Factory_JR2020985