As an AI Storage Platform Architect at NVIDIA, you will bridge cutting-edge hardware platforms with real-world AI deployments by developing validated, production-ready blueprints
Job Summary
As an AI Storage Platform Architect at NVIDIA, you will bridge cutting-edge hardware platforms with real-world AI deployments by developing validated, production-ready blueprints.
You will work closely with storage ecosystem partners to co-develop reference architectures for the NVIDIA AI Data Platform, optimizing compute, fabric, memory, and storage layers for AI workloads.
NVIDIA offers a diverse and supportive environment with competitive compensation including base salary, equity, and benefits, and values creativity and autonomy.
Matching Summary
As an AI Storage Platform Architect at NVIDIA, you will bridge cutting-edge hardware platforms with real-world AI deployments by developing validated, production-ready blueprints.
Salary
Base: 224,000 USD - 356,500 USD; Bonus/Equity: Eligible for equity; Benefits: Eligible for benefits
Skills & Requirements
Must-have
Datacenter-scale AI infrastructure architecture
RDMA and NVMeoF storage protocols
Disaggregated inference architectures
NVIDIA DOCA DPU programming
KV Cache tiering strategies
Spectrum-X Ethernet and NVLink fabrics
Nice-to-have
Collaboration with storage OEM partners
Deployment of disaggregated inference systems
Familiarity with NVIDIA Grace-Hopper and Vera-Rubin platforms
Experience with Retrieval-Augmented Generation architectures
Prototyping and benchmarking AI infrastructure
Key Requirements
12+ years experience in AI, HPC, or storage infrastructure architecture
Bachelor’s degree in Computer Science or related field or equivalent experience
Experience with RDMA (RoCEv2/InfiniBand) and high-performance storage protocols
Strong foundation in networking and datacenter topologies
Familiarity with NVIDIA DOCA or equivalent DPU programming frameworks