Researcher - AI Data System

Team Overview

Our team has an immediate 12-month contract opening for a researcher.

About the Team

Cloud Native Data Engine team within Distributed Scheduling and Data Engine Lab, led by esteemed technical experts with extensive industry and academic experience, merge software development with cutting‑edge industrial research in cloud database area. Our research currently focuses on cloud native database architecture (TaurusDB) and high‑performance query and transaction processing (SQL Engine) in next‑generation cloud infrastructure. Team publishes innovative research at leading conferences SIGMOD, VLDB, ICDE and recognized as key technology contributors in industry.

About the Job

• This unique role combines software development with cutting‑edge industrial research in databases, encompassing cloud‑native database architecture (TaurusDB) and high‑performance query and transaction processing (GaussDB SQL Engine) within next‑generation cloud infrastructure.
• Design, implement, and maintain database architectures for machine learning workloads, ensuring efficient data management and optimized performance.
• Research and stay updated on emerging trends in database technology and machine learning to propose innovative solutions that improve system efficiency and capability.
• Investigate and summarize state‑of‑the‑art database technologies by reviewing the latest conference papers, attending workshops, and engaging with industry trends.
• Assist in the implementation of AI‑driven analytics and advanced features like vector search, similarity matching, and recommendation systems.
• Actively pursue opportunities to invent and submit patents, as well as write papers in leading academic and industrial conferences.

About the Ideal Candidate

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