CPU Storage Tech Lead
Tasks
- Collaborate with hardware and silicon vendors on roadmaps qualification and escalations
- Define AI storage architectures for boot media local NVMe shared storage caching metadata services data pipelines
- Define server compute and storage architecture strategy
- Drive server platform integration across CPU memory NIC GPU and storage
- Evaluate CPU platforms for performance efficiency memory bandwidth PCIe topology cost roadmap alignment
- Lead CPU and storage platform bring up and validation in lab and production
- Lead performance modeling tradeoff analysis for compute memory I O and storage bottlenecks
- Optimize end to end node design and data movement with networking and cluster architecture
- Plan reliability serviceability and fleet lifecycle for compute and storage
- Provide technical leadership across cross functional stakeholders and executive reviews
- Translate AI workload requirements into infrastructure platform specifications
Perks/Benefits
- N/A
Skills/Tech-stack
AI infrastructure | ARM | CPU architecture | CXL | Data Pipelines | Distributed Storage | File System | GPU clusters | Hardware lifecycle | Hardware lifecycle management | High Performance | High performance data pipelines | High-performance data | Infrastructure execution | Lifecycle Management | Memory bandwidth | NUMA | NUMA behavior | NVMe | Object file system | PCIe | Performance Modeling | RAID | SSD | Server Hardware | Systems Architecture | Vendor management | X86
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Regions
Countries
States
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