Senior Solutions Architect - AI, HPC, & Lustre

NetApp is a leading data management company, and they are seeking a Senior Solutions Architect for AI, HPC, and Lustre. This role involves partnering with Enterprise Sales to drive advanced AI and HPC conversations, helping customers design and scale data-intensive workloads using high-performance storage architectures.

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
• 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
• 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