Research Scientist - Compute AI Infra Global Tech Research Program - 2027 Start (PhD)
San Jose, California, United States
USD 212K-387K Entry-level Full Time
Tasks
- Build AI agent infrastructure
- Build heterogeneous power orchestration system
- Collaborate with academia and open source communities
- Conduct deep dive technology research
- Design storage acceleration architectures
- Develop AI infrastructure technologies
- Develop distributed vector index engine
- Develop serverless high performance elastic file systems
- Explore hardware software co optimization
- Optimize inference infrastructure
- Optimize training infrastructure
- Optimize vector retrieval technologies
- Perform intelligent fault localization and root cause analysis
- Present research in academic papers
- Research GPU CPU MEM heterogeneous scheduling
- Research intelligence and agent architecture
- Tune time series databases
Perks/Benefits
- N/A
Skills/Tech-stack
AI Agents | Artificial Intelligence | CPU Scheduling | Cause analysis | Cloud infrastructure | DPU | Data Center Power Scheduling | Data Storage | Data center | Data center power | Data storage systems | Distributed Systems | Distributed Vector Index | Fault Localization | GPU scheduling | Hardware/software | Hardware/software co-optimization | Heterogeneous scheduling | High Performance | High-Performance Computing | Inference infrastructure | Language Models | Large Language Models | Low Latency | Low-Latency Systems | Machine Learning | Memory Management | Network Troubleshooting | Observability | Performance Computing | Power scheduling | Root Cause Analysis | Root cause | Serverless computing | Storage Systems | Time Series | Time-series databases | Training Infrastructure | Vector Databases | Vector Retrieval | Vector index
Education
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