Senior Research Engineer / Scientist - Storage for LLM
Seattle, Washington, United States
USD 177K-341K Senior-level Full Time Found 15d ago
Tasks
- Collaborate on pipeline-integration
- Design distributed KV cache
- Develop memory-aware sharding and replication
- Evaluate or extend open-source KV stores
- Implement low-latency caching
- Monitor system performance
- Optimize cache eviction and synchronization
Perks/Benefits
- Competitive salary
- Conference participation
- Innovative culture
- Open Source contribution
- Research resources
Skills/Tech-stack
AI infrastructure | CUDA | Caching | Distributed Storage | GPU Programming | Memory Management | Model Parallelism | RDMA | Shared Memory | System Optimization | Triton
Education
Bachelor's | Master's | PhD
Language: en |
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