Tech Stack

Description

You will design and validate high-performance compute and storage architectures for AI, ML, and HPC workloads, working with teams to build scalable platforms that maximize GPU utilization and data throughput. This role involves leading technical discovery, developing reference architectures, and supporting proof-of-concept validations.

Requirements

• Deep experience as a server and storage architect supporting GPU-driven AI and HPC environments
• Ability to operate at both architectural and implementation levels
• Experience assessing and integrating technologies from HPE, Dell, VAST Data, Pure Storage, DDN, or WEKA
• Willingness to travel up to 40% within the United States
• Collaborate with networking architects for comprehensive system balance

Responsibilities

• Architect server and storage solutions optimized for AI/ML and HPC workloads
• Design GPU-enabled compute platforms, including dense and scale-out architectures
• Lead technical discovery sessions to align infrastructure designs with application requirements
• Develop reference architectures and best practices for AI-focused infrastructure deployments
• Support proof-of-concepts, benchmarking, and performance optimization for AI and HPC workloads