Senior Solutions Architect, Cluster Design and Architecture - Networking

NVIDIA • Santa Clara, CA

6d • $184,000 - $356,500

About The Position

NVIDIA is seeking a highly motivated Senior Solutions Architect to join the Cluster Design and Architecture team with a focus on networking technologies. In this role, you will be at the forefront of assisting with designs and architectures for next-generation networking solutions that connect thousands of GPUs and enable the world’s most advanced AI supercomputers and enterprise AI infrastructure. You will act as a key technical expert connecting NVIDIA’s new networking technology builds, including Infiniband, Spectrum-X, NVLink, and all software solutions. You will work directly between engineering and field teams to support customers with fast-paced requirements, focusing on end-to-end cluster design, network topology and architecture optimization, performance modeling, and validation. Your expertise will directly influence how leading AI companies, cloud providers, hyperscalers, research institutions, and enterprises build their infrastructure.

Requirements

• BS, MS, or PhD in Computer Science, Electrical Engineering, Computer Engineering, Physics, or related field (or equivalent experience)
• 8+ years of experience in network architecture, network design, network validation and troubleshooting
• Proven expertise in designing large-scale distributed systems, AI clusters, or HPC infrastructure
• Ability to translate complex engineering concepts into customer-ready documentation, diagrams, and reference material

Nice To Haves

• Experience leading large-scale AI Factory or HPC cluster bring-ups or builds
• Hands-on experience with NVIDIA networking products including, but not limited to, Infiniband, Spectrum-X, BlueField, etc.
• Knowledge of NCCL, MPI, and collective communication patterns in distributed training as it pertains to networking patterns and design
• Background in network performance optimization, congestion control, and validation at scale
• External customer facing skill-set and background

Responsibilities

• Partner with internal engineering efforts in GPU cluster building and networking and convey architecture and guidelines information both direct to customer and with field teams supporting customers
• Guide field teams and their customers in cluster design, weighing design principles but also complex, situational limitations to make the most performant and supportable GPU clusters possible
• Work closely with field teams supporting customers to ensure successful first deployments with new products, including new network architectures and topologies
• Feedback customer/field perspectives on networking development and workflows back to engineering teams building internal clusters and/or composing customer facing documentation on guidelines and service flows
• Perform hands-on work to assist field teams debugging issues relating to network build, configuration, and performance, bringing to bear internal engineering expertise and known bugs

Benefits

• equity
• benefits

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed