Role at a glance
- Salary
- Not Disclosed
- Location
- Korea - Seoul
- Work arrangement
- On-site
- Employment
- Full-time
- Experience
- Minimum of 5+ years of hands-on experience designing, deploying, and operating AI training or inference clusters
- Education
- Bachelor’s degree or higher in Computer Science, Computer Engineering, or a related technical field.
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Role Summary
The Solutions Architect for AI Factory advises customers building solutions with NVIDIA AI technology, including accelerated computing and deep learning software and hardware platforms. The role supports customer AI training and inference clusters, connects customers with NVIDIA deployment teams, and provides technical support for AI workloads after deployment.
What You'll Do
- Maintain an up-to-date understanding of NVIDIA Reference Architectures and their deployment methods
- Analyze customer requirements for AI training or inference clusters
- Identify the NVIDIA Reference Architecture that best matches customer needs and communicate its value proposition
- Facilitate communication between NVIDIA internal deployment teams and customers during AI cluster implementations
- Provide hands-on technical support to developers after AI Factory deployment to help AI training and inference workloads run effectively
Generated from the employer's posting. Verify important details before applying.
View full postingQualifications
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 servers, storage, and networking that leverage Kubernetes with NVIDIA GPUs; foundational knowledge and experience with InfiniBand and Ethernet in AI cluster environments.
Required
- Bachelor’s degree or higher in Computer Science, Computer Engineering, or a related technical field
- 5+ years of experience designing, deploying, and operating AI training or inference clusters with servers, storage, and networking
- Experience with Kubernetes and NVIDIA GPUs
- Foundational knowledge and experience with InfiniBand and Ethernet in AI cluster environments
- Experience with compute fabric interconnects between GPU servers, storage fabric integration, and out-of-band and in-band management fabrics
Preferred
- Proficiency with Container Runtime Interface (CRI), Container Network Interface (CNI), Calico, NVIDIA GPU Operator, NVIDIA Network...
- Knowledge and experience of facilities used in building AI Factories, including cooling devices, power distribution, or plumbing
Original job description
Content provided by the employer
Original job description
Content provided by the employer
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!
What you will be doing:
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.
What we need to see:
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 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.
Ways to stand out from the crowd:
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.
About the company
NVIDIA
Large Enterprise
NVIDIA is a leading technology company renowned for its graphics processing units (GPUs) and innovative computing solutions that enhance visual experiences across multiple platforms, including gaming, scientific research, and artificial intelligence. Founded in 1993, the company has expanded its offerings to include powerful AI frameworks and deep learning platforms, making significant contributions to industries such as gaming, data centers, automotive, and healthcare. NVIDIA's commitment to pushing the boundaries of visual computing continues to drive advancements in both hardware and software, positioning the company at the forefront of emerging technologies and digital transformation.
NVIDIA is a leading technology company renowned for its graphics processing units (GPUs) and innovative computing solutions that enhance visual experiences across multiple platforms, including gaming, scientific research, and artificial intelligence. Founded in 1993, the company has expanded its offerings to include powerful AI frameworks and deep learning platforms, making significant contributions to industries such as gaming, data centers, automotive, and healthcare. NVIDIA's commitment to pushing the boundaries of visual computing continues to drive advancements in both hardware and software, positioning the company at the forefront of emerging technologies and digital transformation.