Database Research Expert - Big Data and AI Platform

Huawei Canada has an immediate permanent opening for a Database Research Expert.

About the team:

The Computing Data Application Acceleration Lab aims to create a leading global data analytics platform organized into three specialized teams using innovative programming technologies. This team focuses on full-stack innovations, including software-hardware co-design and optimizing data efficiency at both the storage and runtime layers. This team also develops next-generation GPU architecture for gaming, cloud rendering, VR/AR, and Metaverse applications.

One of the goals of this lab are to enhance algorithm performance and training efficiency across industries, fostering long-term competitiveness.

About the job:

• Lead the core architecture design and evolution of our next-generation data analytics infrastructure, with a focus on high-performance, scalable database and big data analytics systems.

• Track and research cutting-edge technologies in big data, databases, and AI; lead exploratory projects, especially on innovative database solutions leveraging software-hardware co-design, such as CXL-based memory pooling.

• Spearhead in-depth performance analysis and optimization of the database kernel, resolving extreme performance bottlenecks under massive data loads to enhance system efficiency and stability.

• Drive the deep integration of databases with big data and AI platforms, providing one-stop data service capabilities for upstream applications, including Lakehouse, HTAP, and vector search.

• Develop the database technology roadmap, guide the team in overcoming key technical challenges, and build our industry-leading technical influence.

About the ideal candidate：

• Expert proficiency in the kernel principles, storage engines, and query optimization of at least one mainstream database (e.g., PostgreSQL, MySQL, ClickHouse), with hands-on experience in source-code level development or deep optimization.

• Familiarity with the big data technology ecosystem (Hadoop, Spark, Flink, etc.), with a deep understanding and practical experience in architectures like Lakehouse and unified batch/stream processing.

• Profound knowledge of modern computer architecture and familiarity with emerging technologies such as CXL, RDMA, and NVMe-oF. The ability to perform software-hardware co-design and optimization is highly preferred.

• Keen insight into cutting-edge Data & AI technologies (e.g., vector databases, AI for DB), coupled with the passion and capability to apply new technologies to real-world scenarios.

• Solid programming foundation in C/C++ or Java, proficiency in Linux systems programming, and possessing excellent technical vision, strong learning abilities, and complex problem-solving skills.