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