Senior AI Storage Infrastructure Engineer
San Jose, CA / Austin, TX-%LABEL POSITION TYPE REMOTE WITHIN%
R
USD 224K-356K (estimate) Senior-level Full Time
Tasks
- Architect and implement GPUDirect Storage integrations
- Collaborate to optimize RDMA and high speed interconnects
- Define storage policies and quota management in Kubernetes
- Design deploy and maintain CSI drivers
- Develop and manage local NVMe caching strategies
- Implement automated monitoring and alerting
- Mentor junior engineers and conduct design reviews
- Optimize IOPS throughput and latency
Perks/Benefits
- N/A
Skills/Tech-stack
Ansible | CI/CD | CSI drivers | Container Storage | Container Storage Interface | DAOS | DMA | DMA between NVMe and GPU | File systems | GPUDirect Storage | IOPS | Infiniband | Kernel tuning | Kubernetes | Latency | Linux | Lustre | NVMe | POSIX | Parallel File Systems | RDMA | RoCE | Storage interface | Storage operator | Terraform | Throughput | VAST | Weka
Education
Regions
Countries
States
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