NVIDIA에서 AI Factory 솔루션 아키텍트를 채용합니다. AI 학습 및 추론 클러스터 설계와 운영에 7년 이상의 경력이 필수이며, Kubernetes와 NVIDIA GPU 환경에 대한 깊은 이해가 필요합니다. 고객의 기술적 요구사항을 분석하고 최적의 레퍼런스 아키텍처를 제안하며, 배포 후 기술 지원을 담당합니다. 최신 가속 컴퓨팅 기술을 다루는 핵심적인 역할을 수행하게 됩니다.
NVIDIA is seeking an outstanding Solutions Architect for AI Factory to assist and support customers that are building solutions with our newest AI technology. At NVIDIA, our Solutions Architects work across different teams and enjoy helping customers with the latest Accelerated Computing and Deep Learning software and hardware platforms. We're looking to grow our company, and build our teams with the smartest people in the world. Would you like to join us at the forefront of technological advancement?
You will become a trusted technical advisor with our customers and work on exciting projects and proof-of-concepts passionate about AI Factory. This role is an excellent opportunity to work in an interdisciplinary team with the latest technologies at NVIDIA!
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.
NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us. If you're creative, passionate and self-motivated, we want to hear from you! NVIDIA is leading the way in groundbreaking developments in Artificial Intelligence, High-Performance Computing and Visualization. The GPU, our invention, serves as the visual cortex of modern computers and is at the heart of our products and services.
