Research Scientist - AI Compute & DPU - Global Frontier Tech Recruitment Program - 2027 Start (PhD)
Tasks
- Build distributed vector index engine
- Build serverless high performance elastic file systems
- Conduct research on AI infrastructure stack
- Design self evolvable business agent framework
- Design storage acceleration architectures for AI
- Develop network fault localization and root cause analysis
- Explore automatic infrastructure optimization using AI agents
- Optimize GPU CPU MEM heterogeneous collaborative scheduling
- Optimize vector retrieval for LLM powered applications
- Research data center power scheduling for AI workloads
- Tune time series databases for cluster stability
Perks/Benefits
- N/A
Skills/Tech-stack
AI Agent | AI agent workflows | Agent workflows | CPU Scheduling | Cause analysis | Co-design | DPDK | Distributed orchestration | Embeddings | Fault Localization | GPU scheduling | GPU virtualization | Hardware-Software Co-design | Hardware/software | Heterogeneous workload scheduling | KV cache | Kubernetes | LLM Inference | Memory scheduling | Multimodal serving | Observability | RDMA | Root Cause Analysis | Root cause | Serverless computing | Software Co-design | Storage Systems | Time Series | Time-series databases | Vector Databases | Vector Retrieval | Workload Scheduling
Education
Roles
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