Research Scientist - Compute AI Infra - Global Frontier Tech Recruitment Program - 2027 Start (PhD)
San Jose, California, United States
USD 212K-387K Entry-level Full Time
Tasks
- Collaborate with academia and open source communities
- Conduct deep-dive analysis
- Design intelligent agent and infrastructure architecture
- Develop AI infrastructure optimization technologies
- Develop elastic storage systems for AI workloads
- Optimize training inference and AI agent infrastructure
- Optimize vector retrieval for LLM applications
- Present research in academic papers
- Research data center power scheduling
- Research latest AI infrastructure technologies
- Research network and observability for AI clusters
Perks/Benefits
- N/A
Skills/Tech-stack
AI Agents | Artificial Intelligence | CPU Scheduling | Cause analysis | Cloud Computing | Cost systems | Deep learning | Distributed Systems | Fault Localization | File systems | GPU scheduling | Hardware/software | Hardware/software co-optimization | LLM | Low Latency | Low cost systems | Low-Latency Systems | Machine Learning | Memory scheduling | Network Engineering | Observability | Power scheduling | Resource orchestration | Root Cause Analysis | Root cause | Serverless computing | Storage Systems | Time Series | Time-series databases | Vector Databases | Vector Retrieval | Vector indexing
Education
Roles
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