Senior Solutions Architect, AI Infrastructure

About the Role: Senior Solutions Architect, AI Infrastructure at NVIDIA

NVIDIA is seeking an experienced GPU and network systems Solutions Architect & Engineer to join a team focused on bringing cutting-edge Artificial Intelligence (AI) hardware and software technologies to production in customer data centers. As a Senior Solutions Architect, AI Infrastructure within the NVIDIA SA organization, you will play a crucial role in driving the deployment of end-to-end technology solutions for some of NVIDIA's most strategic technology customers. You will also provide valuable recommendations to business and engineering teams, influencing the future product roadmap.

What You Will Be Doing

• Work with NVIDIA's AI Native and Consumer Internet customers on large data center GPU server and networking system deployments as a Solution Architect Engineer.
• Guide customer discussions on network design, compute/storage, and support the bring-up of server/network/cluster deployments. Expect to visit customer data centers during the bring-up phase.
• Demonstrate subject matter expertise in advanced GPU & network systems, acting as a trusted technical advisor to NVIDIA's strategic customers.
• Bring customer-specific requirements to product teams to guide product roadmap features and ensure product relevance.
• Identify new project opportunities for NVIDIA products and technology solutions within data center and artificial intelligence applications.
• Collaborate closely with the GPU/Network Systems Engineering, Product Management, and Sales teams.
• Act as a customer's trusted advisor, conducting regular technical meetings for product roadmaps, cluster issue debugging, feature discussions, and introducing new technology solutions.
• Build custom product demonstrations and Proofs of Concept (POCs) for solutions that address critical business needs of customers.
• Analyze and debug compute/network configurations and performance issues to ensure the delivery of performant clusters.

What We Need To See

• BS/MS/PhD in Electrical/Computer Engineering, Computer Science, Physics, or other Engineering fields, or equivalent experience.
• Strong motivation and skills to drive the data center engineering process, with 8+ years of Systems/Solution Engineering or similar engineering roles experience.
• System-level expertise in CPU/GPU server architecture, NICs, Linux, system software, and kernel drivers.
• Experience with networking switches for Ethernet/InfiniBand and Data Center infrastructure (power/cooling).
• Knowledge of DevOps/MLOps technologies such as Docker/containers and Kubernetes.
• Effective time management and the ability to balance multiple tasks efficiently.
• Strong verbal and written communication skills to clearly share ideas and code through documents, presentations, etc.

Ways To Stand Out From The Crowd

• External customer-facing background.
• Experience with the bring-up and deployment of large clusters.
• Systems engineering, coding, and debugging skills, including experience with C/C++, Linux kernel, and drivers.
• Hands-on experience with NVIDIA GPU systems/SDKs (e.g., CUDA), NVIDIA Networking technologies (e.g., NICs, RoCE, InfiniBand), and/or ARM CPU solutions.
• Familiarity with virtualization technology concepts.

Key skills/competency

• GPU Systems
• Network Systems
• AI Infrastructure
• Data Center Deployment
• Solutions Architecture
• Linux
• Kubernetes
• DevOps/MLOps
• Customer Engagement
• Troubleshooting