NVIDIA
Senior Product Architect, Storage
$224K–$356K
US, CA, Santa Clara +1 · Senior · Full-time · Posted Mar 13, 2026
- Location
- US, CA, Santa Clara
US, Remote - Experience
- 12+ years architecting datacenter-scale AI, HPC, or storage infrastructure.
- Education
- Bachelor’s in Computer Science or a related field (or equivalent experience).
About the job
Architects and validates storage-focused AI infrastructure and partner reference architectures, translating NVIDIA platforms into production-ready deployments for AI workloads.
What you'll do
- Develop end-to-end reference architectures for AI training, disaggregated inference, and agentic AI with ecosystem partners.
- Prototype, benchmark, and validate infrastructure performance across compute, networking, and storage.
- Publish architecture and deployment guidance, and deliver proofs of concept and MVPs with customers and partners.
What they ask for
- Deep expertise in AI infrastructure, including disaggregated inference, LLM training pipelines, and autonomous AI systems.
- Hands-on experience with RDMA, high-performance storage protocols, and low-latency fabric design.
- Strong understanding of KV Cache strategies and RAG storage and retrieval patterns.
- Experience with NVIDIA DOCA or an equivalent DPU/SmartNIC framework, plus datacenter networking and fabrics.
Nice to have
- Experience co-designing reference architectures with storage or infrastructure OEM partners.
- Hands-on disaggregated inference deployment experience or familiarity with NVIDIA Grace-Hopper, Grace-Blackwell, or Vera-Rubin platforms.
Pay
224,000 USD - 356,500 USD (base salary)
Tools
NVIDIA Dynamo, RDMA, RoCEv2/InfiniBand, NVMeoF, GPFS, Lustre, S3-compatible object storage, NVIDIA DOCA
AI focus
Architects infrastructure for foundation-model training, disaggregated inference, agentic AI, and RAG, including KV Cache tiering and retrieval-optimized storage.
Model-written summary · the original posting is authoritative