Staff Engineer - AI Development
Tasks
- Architect and integrate storage with GPU accelerated inference platforms
- Define multi tier storage architectures
- Develop KV cache management strategies
- Diagnose and resolve system bottlenecks
- Drive observability performance monitoring automation reliability
- Establish benchmarking and performance tuning
- Influence distributed inference architecture decisions
- Lead design and implementation of data movement pipelines
- Mentor junior engineers
- Optimize I O paths between GPU memory and storage
- Optimize inference performance with AI ML frameworks
Perks/Benefits
- N/A
Skills/Tech-stack
Automation | Benchmarking | C plus plus | CPU GPU data movement | Cache Management | Caching | Data Locality | Data Movement | Filesystem | GPU Computing | GPUDirect Storage | I/O | I/O stack | Infinia | Infiniband | KV cache | KV-cache management | LLM serving | Linux | Memory tiering | NVIDIA NIXL | NVMe | NVMe over Fabrics | Object storage | Observability | Performance Tuning | Profiling | PyTorch | Python | RAG | RDMA | Reliability Engineering | Retrieval-Augmented Generation | SSD | Storage Protocols | TensorFlow | Vector Database
Education
Roles
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