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Senior Solutions Architect - AI, HPC Lustre

Remote / Online - Candidates ideally in
San Antonio, Bexar County, Texas, 78201, USA
Listing for: NetApp
Full Time, Remote/Work from Home position
Listed on 2026-10-31
Job specializations:
  • IT/Tech
    Data Engineering, Cloud Computing: Infrastructure & Operations, AI Engineer (Applied/Software), Systems Engineer
Salary/Wage Range or Industry Benchmark: 197000 - 255000 USD Yearly USD 197000.00 255000.00 YEAR
Job Description & How to Apply Below
Position: Senior Solutions Architect - AI, HPC, & Lustre

Own Every Moment at Net App

At Net App, your ideas power innovation. We lead in intelligent data infrastructure—delivering unified storage, integrated data services, and solutions that help organizations unlock the full potential of their data, from AI to multicloud.

Own Every Moment at Net App

At Net App, your ideas power innovation. We lead in intelligent data infrastructure—delivering unified storage, integrated data services, and solutions that help organizations unlock the full potential of their data, from AI to multicloud. Ready to innovate and contribute to our path to $10B? Here, you'll collaborate with passionate teams, tackle real-world challenges, and see your impact in how customers transform and grow.

If you're ready to bring curiosity, creativity, and drive to every moment, Net App is where your journey begins. Join teams that innovate to elevate, drive results, and excel together across every function.

LOCATION

This is a remote position and can sit anywhere in the United States. All candidates must be willing to very frequently travel across the United States.

Job Summary

Net App’s Solutions Architecture (SA) team partners with Enterprise Sales to drive advanced AI, analytics, and high-performance computing (HPC) conversations with customers, stepping in when deep technical expertise is required beyond day-to-day SE support. As the Senior Solutions Architect for AI, Analytics & Lustre-based HPC Storage, you will support Enterprise customers across the United States, helping them design and scale AI/ML and data-intensive workloads that depend on ultra-high-performance storage architectures - whether deployed on-premises or across Neo Cloud and AI hyperscaler GPU environments.

This role is uniquely focused on Net App’s high-performance storage solutions for Lustre, a parallel file system widely used in HPC and AI environments to deliver extreme throughput, low latency, and scalable access for GPU clusters and large-scale data processing. You will help customers understand how their data infrastructure, particularly workloads requiring massive bandwidth (e.g., model training, simulations, analytics pipelines), can evolve using Net App’s Lustre-enabled solutions to eliminate storage bottlenecks and maximize GPU utilization.

As customers increasingly leverage Neo Cloud and AI hyperscaler providers for GPU-dense compute, you will guide them in architecting storage solutions that span on-prem infrastructure and these cloud-based GPU environments to meet their HPC and AI training demands.

What You’ll Do Customer Engagement & AI / HPC Strategy
  • Lead advanced discussions with Enterprise customers around AI, analytics, and high-performance computing (HPC) architectures.
  • Assess customer environments, focusing on data-intensive workloads, GPU clusters, and performance bottlenecks in storage pipelines.
  • Identify opportunities where parallel file systems like Lustre can accelerate AI training, simulation workloads, and large-scale analytics.
  • Present architectures spanning GenAI, distributed training pipelines, high-throughput data ingestion, and HPC workflows.
  • Help customers architect and optimize HPC and AI storage solutions that bridge on-premises infrastructure with Neo Cloud and AI hyperscaler GPU providers (e.g., Core Weave, Lambda, Crusoe), ensuring high-performance data access regardless of where compute resides.
Field Partnership & Enablement
  • Partner with Client Executives and SEs to align AI + HPC + storage strategy with account plans.
  • Enable the field to identify and position opportunities involving:
  • GPU saturation challenges
  • AI training data pipelines
  • HPC simulation and research workloads
  • Deliver workshops and technical sessions on AI infrastructure design, GPU/storage balance, and…
Position Requirements
10+ Years work experience
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