Solutions Architect, AI Infrastructure

NVIDIA • Santa Clara, WA

1d

About The Position

As a Solutions Architect, AI Infrastructure at NVIDIA, you will have the ground breaking opportunity to lead the charge in deploying innovative AI solutions. Our world-class team is dedicated to pushing the boundaries of what is possible with AI and accelerated computing. Your expertise will help us continue to compete at the highest level and drive flawless execution in our projects! What you'll be doing: Working with NVIDIA AI Native customers on data center GPU server and networking infrastructure deployments. Guiding customer discussions on network topologies, compute/storage, and supporting the bring-up of server/network/cluster deployments. Identifying new project opportunities for NVIDIA products and technology solutions in data center and AI applications. Conducting regular technical meetings with customers as a trusted advisor, discussing product roadmaps, cluster debugging, and new technology introductions. Building custom demonstrations and proofs of concept to address critical business needs. Analyzing and debugging compute/network performance issues.

Requirements

• BS/MS/PhD in Electrical/Computer Engineering, Computer Science, Physics, or related fields, or equivalent experience.
• 7+ years of experience in Solution Engineering or similar roles.
• System-level understanding of server architecture, NICs, Linux, system software, and kernel drivers.
• Practical knowledge of networking - switching & routing for Ethernet/Infiniband, and data center infrastructure (power/cooling).
• Familiarity with DevOps/MLOps technologies such as Docker/containers and Kubernetes.
• Effective time management and ability to balance multiple tasks.
• Excellent communication skills for articulating ideas and code clearly through documents and presentations.

Nice To Haves

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

Responsibilities

• Working with NVIDIA AI Native customers on data center GPU server and networking infrastructure deployments.
• Guiding customer discussions on network topologies, compute/storage, and supporting the bring-up of server/network/cluster deployments.
• Identifying new project opportunities for NVIDIA products and technology solutions in data center and AI applications.
• Conducting regular technical meetings with customers as a trusted advisor, discussing product roadmaps, cluster debugging, and new technology introductions.
• Building custom demonstrations and proofs of concept to address critical business needs.
• Analyzing and debugging compute/network performance issues.

Benefits

• equity
• benefits

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: Ph.D. or professional degree