Senior Solutions Architect - AI, HPC, & Lustre

NetApp, Inc.

1d • $197,200 - $255,200 • Remote

About The Position

NetApp’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 NeoCloud and AI hyperscaler GPU environments.

This role is uniquely focused on NetApp’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 NetApp’s Lustre-enabled solutions to eliminate storage bottlenecks and maximize GPU utilization. As customers increasingly leverage NeoCloud 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.

Requirements

• 7+ years in Solutions Architecture, pre-sales, or customer-facing technical roles with emphasis on AI/ML, HPC, or high-performance data platforms.
• Hands-on experience with Parallel file systems (Lustre strongly preferred) or other HPC storage architectures.
• Hands-on experience with GPU-accelerated workloads (NVIDIA ecosystem, distributed training environments).
• Hands-on experience with AI/ML frameworks (PyTorch, TensorFlow, or similar).
• Hands-on experience with Data-intensive workloads such as simulation, modeling, large-scale analytics, or AI training pipelines.
• Strong Understanding of High-performance storage systems and architectures (block + parallel file systems).
• Strong Understanding of Data throughput optimization, I/O bottlenecks, and storage scaling strategies.
• Strong Understanding of HPC infrastructure including compute, storage, and high-speed networking.
• Knowledge of how parallel file systems enable simultaneous read/write access across distributed nodes, allowing throughput to scale linearly with cluster size.
• Exceptional communication and ability to translate deep HPC/storage concepts into business value.
• Proven ability to guide customers through complex infrastructure transformations.
• Experience enabling field teams to position differentiated architecture plays (not just features).
• Strong collaboration across sales, partners, and engineering.

Responsibilities

• 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 NeoCloud and AI hyperscaler GPU providers (e.g., CoreWeave, Lambda, Crusoe), ensuring high-performance data access regardless of where compute resides.
• 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 Lustre-based architectures.
• Architect high-performance AI and HPC storage solutions leveraging NetApp E-Series and Lustre.
• Provide Design Guidance on Parallel file systems (Lustre architecture, metadata + object storage separation), High-throughput networking (InfiniBand, RDMA, high-speed Ethernet), GPU cluster integration (NVIDIA DGX, CUDA ecosystems), Data pipelines optimized for large-scale distributed training, Storage connectivity and data movement strategies for NeoCloud and AI hyperscaler GPU environments.
• Design systems that scale to petabyte-level datasets and extreme throughput requirements typical of AI and HPC.
• Support demos, benchmarks, POCs, and pilot environments demonstrating performance at scale and GPU efficiency gains.
• Drive pipeline growth focused on AI infrastructure modernization and HPC storage transformation.
• Contribute to RFP/RFI responses emphasizing performance, scalability, and architecture differentiation.
• Share insights with product teams to influence NetApp’s evolving AI and HPC storage portfolio.
• Stay Current on Technologies including: Parallel file systems (Lustre, BeeGFS), GPU ecosystems (NVIDIA, CUDA, DGX SuperPOD), AI/ML frameworks (PyTorch, TensorFlow), HPC and AI infrastructure trends, NeoCloud and AI hyperscaler GPU ecosystems (e.g., CoreWeave, Lambda, Crusoe) and their evolving storage requirements.
• Maintain deep expertise in NetApp high-performance storage (E-Series, EF-Series) supporting Lustre deployments.

Benefits

• Health Insurance
• Life Insurance
• Retirement or Pension Plans
• Paid Time Off
• various Leave options
• employee stock purchase plan
• restricted stocks (RSU’s)

What This Job Offers

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