Research Scientist - AI Agent Memory Infrastructure - Global Frontier Tech Recruitment Program - 2027 Start (PhD)
San Jose, California, United States
USD 212K-387K Entry-level Full Time
Tasks
- Advance GPU CPU MEM scheduling and power orchestration
- Architect and optimize memory system pipelines
- Design memory infrastructure for AI agents
- Develop memory models and processing workflows
- Explore LLM context engineering and data management challenges
- Optimize vector retrieval technologies
- Productionize memory capabilities and optimize performance
- Research AI infrastructure for storage networking and observability
Perks/Benefits
- N/A
Skills/Tech-stack
CPU | Cause analysis | Co Optimization | Compression | Data Ingestion | Data Management | Distributed Systems | Distributed Vector Indexing | Fault Localization | GPU | Hardware/software | Hardware/software co-optimization | Indexing | Information Retrieval | LLM | Language Models | Large Language Models | Low Latency | Low-Latency Systems | Memory | Multimodal Learning | Multimodal fusion | Observability | Real Time | Real-time Inference | Root Cause Analysis | Root cause | Scheduling | Serverless computing | Storage Systems | Summarization | Time Series | Time-series databases | Vector Databases | Vector Retrieval | Vector indexing
Education
Roles
Regions
Countries
States
Cities
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