Principal Member of Technical Staff-Bay Area

Location: Redwood City, CA, United States

Design, develop, troubleshoot and debug software programs for databases and cloud services with emphasis on new extensions to SQL.  Implement data structures and algorithms to accelerate query performance. Work on Machine Learning algorithms that improve automation of query processing like automated result cache, automated partitioning, automated clustering and zonemaps.

As a member of the software engineering division, you will take an active role in the definition, design, implementation, and evangelization of new database execution features. You will also be analyzing the performance and scalability of the features and improve them. Work is complex and research-centric, involving application of advanced technical and problem-solving skills in area efficient execution of sql queries. As a leading individual contributor, you will be providing direction and mentorship as well.

Many of our algorithms have been patented and our work has been published in major conferences. We are responsible for providing scalability of sql operators for parallel queries and for memory usage. A most recent area of interest is vectorized and columnar processing.  We extended the SQL language to identify data that is closest match to query vector. We generate optimal query plans for retrieve data fast. We take advantage of new on-disk and in-memory storage formats and hardware caching characteristics to improve jo

 

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The group has been defining important analytic extensions to SQL since Oracle 8i. We cooperate with other database vendors to standardize our SQL extensions so that they are adopted quickly. We are responsible for developing innovative algorithms for optimizing and executing the proposed extensions in the RDBMS kernel. in, aggregation, sort, window and hierarchical query performance. We build and enhance new access and filtering structures, such as, bitmap index, bloom. Hybrid role: Redwood Shores office location 3 days per week/2 remote workdays