Job Description
About the Team
We are the Infrastructure System Lab — a hybrid research and engineering group building the next-generation AI-native data infrastructure. Our work sits at the intersection of databases, large-scale systems, and AI. We drive innovation across:
- Next-generation databases: We build VectorDBs and multi-modal AI-native databases designed to support large-scale retrieval and reasoning workloads.
- AI for Infra: We leverage machine learning to build intelligent algorithms for infrastructure optimization, tuning, and observability.
- LLM Copilot: We develop LLM-based tooling like NL2SQL, NL2Chart.
- High-performance cache systems: We develop a multi-engine key-value store optimized for distributed storage workloads. We're also building KV caches for LLM inference at scale.
This is a highly collaborative team where researchers and engineers work side-by-side to bring innovations from paper to production. We publish, prototype, and build robust systems deployed across key products used by millions.
Job Responsibilities:
1. Research cutting-edge technologies in the field of data management and security.
2. Participate in the design and development of innovative data management and security projects, provide technical architecture and implementation plans based on performance, stability, scalability, and security considerations.
3. Submit high-quality code and complete development tasks on time according to project schedules.
4. Publish papers in top academic conferences (e.g., SIGMOD, VLDB, CCS).
The base salary range for this position in the selected city is $187040 - $359720 annually.
