R&D Lead & Inference Storage System Architect

Tasks

• Align architecture with customer deployment needs
• Analyze data center deployment models
• Architect storage rack and tray topology
• Collaborate with engineering teams for architectural alignment
• Define PCIe and NVMe topology
• Define RAID and compression placement
• Define data flows and metadata flows
• Define data services placement
• Define storage platform deployment model
• Design DRAM architecture
• Design storage node architecture
• Drive hardware firmware software partitioning
• Drive storage system architecture
• Identify performance choke points
• Integrate NIC components
• Lead bottleneck analysis and scalability modeling
• Perform power and performance modeling
• Select SoC and DPU components

Perks/Benefits

• N/A

Skills/Tech-stack

AI infrastructure | Bottleneck analysis | Compression | DPU | DRAM | Data Center Infrastructure | Data Services | Data center | File systems | Flash Storage | High Performance | High speed | High-Performance Computing | High-Speed Networking | Metadata | NVMe | Network Interface | Network Interface Card | PCIe | Performance Analysis | Performance Computing | Power Modeling | RAID | Scalability modeling | SoC | Storage Architecture