Research Scientist - AI Compute & DPU - Global Tech Research Program - 2027 Start (PhD)
Tasks
- Build distributed vector index engine
- Build serverless high performance elastic file systems
- Conduct AI infrastructure research
- Design storage acceleration architectures
- Develop heterogeneous power orchestration for AI agents
- Develop network and observability fault localization
- Enable AI driven infrastructure optimization for agent workflows
- Explore GPU CPU MEM heterogeneous collaborative scheduling
- Optimize time series database tuning
- Optimize vector retrieval technologies
Perks/Benefits
- N/A
Skills/Tech-stack
AI Agent | AI agent workflows | Agent workflows | CPU Scheduling | Caching | DPDK | Distributed Systems | Fault Localization | GPU scheduling | GPU virtualization | Hardware/software | Hardware/software co-optimization | Kubernetes | LLM Inference | Language Models | Large Language Models | Memory scheduling | Network Observability | RDMA | Scheduling | Serverless computing | Storage Systems | Time Series | Time-series databases | Vector Databases | Vector Search
Education
Roles
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