Senior Solutions Architect, AI Infrastructure

NVIDIA • Us, CA

1d • Remote

About The Position

NVIDIA is seeking an experienced GPU and network systems Solutions Architect & Engineer to join a team focused on bringing new Artificial Intelligence (AI) hardware and software technologies to production in customer data centers. In this role, you will drive the deployment and integration of NVIDIA's end-to-end technology solutions at strategic customer sites. You will also provide recommendations to business and engineering teams regarding NVIDIA's product roadmap. Your responsibilities will include guiding customer discussions on network design, compute/storage, and supporting the bring-up of server/network/cluster deployments. You will act as a trusted technical advisor, demonstrating subject matter expertise in advanced GPU & network systems, and translating customer-specific requirements into product roadmap features. Additionally, you will identify new project opportunities for NVIDIA products and solutions in data center and AI applications, and collaborate closely with Engineering, Product Management, and Sales teams. You will also build custom product demonstrations and Proofs of Concept (POCs) to address critical customer business needs and analyze/debug compute/network configuration and performance issues to ensure performant clusters.

Requirements

• BS/MS/PhD in Electrical/Computer Engineering, Computer Science, Physics, or other Engineering fields or equivalent experience.
• Motivation and skills to drive the data center engineering process.
• 6+ years of Systems/Solution Engineering (or similar Engineering roles) experience.
• System level expertise of 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, Kubernetes.
• Effective time management and capable of balancing multiple tasks.
• Strong verbal/written communication skills and share your ideas/code clearly through documents, presentation etc.

Nice To Haves

• External customer facing background.
• Experience with bringup 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.

Responsibilities

• Working with NVIDIA AI Native and Consumer Internet customers on large data center GPU server and networking system deployments as Solution Architect Engineer.
• Guide customer discussions on network design, compute/storage and support bring up of server/network/cluster deployments.
• Demonstrate subject matter expertise in advanced GPU & network systems and be a trusted technical advisor to NVIDIA's strategic customers.
• Bring customer-specific requirements to product teams to guide product roadmap features.
• Identify new project opportunities for NVIDIA products and technology solutions in data center and artificial intelligence applications.
• Work closely with the GPU/Network Systems Engineering, Product management and Sales teams.
• Work as customer trusted advisor conducting regular technical customer meetings for product roadmap, cluster issues debug, feature discussions and introduction to new technology solutions.
• Build custom product demonstrations and POCs for solutions that address critical business needs of our customers.
• Analyze and debug compute/network configuration, performance issues to deliver performant clusters.

Benefits

• equity
• benefits

What This Job Offers

• Job Type: Full-time
• Career Level: Senior