Principal Engineer - Vector Database

The Distributed Data Storage and Management Lab leads research in distributed data systems, aiming to develop next-generation cloud serverless products that encompass core infrastructure and databases. This lab addresses various data challenges, including cloud-native disaggregated databases, pay-by-query user models, and optimizing low-level data transfers via RDMA. Teams within this lab create advanced cloud serverless data infrastructure and implement cutting-edge networking technologies for Huawei's global AI infrastructure.

• Architecting and develop frameworks and engines for next-generation serverless computing tailored to AI workloads (LLM training/inference, agent execution, RL training, etc.).

• Lead the design and innovation of vector database storage engines within a large-scale Data + AI infrastructure platform.

• Drive breakthroughs in vector indexing, retrieval algorithms, and storage architectures, enabling low-latency, high-throughput vector search at scale.

• Define and evolve the technical roadmap for next-generation vector database storage technologies.

• Stay deeply engaged with industry trends, open-source ecosystems, and competitive landscapes; translate customer requirements and real-world workloads into differentiated technical solutions.

• Architect and build high-performance, scalable, and reliable vector storage systems used in production environments.