Bachelor’s degree or equivalent practical experience.
2 years of experience with software development in one or more programming languages, or 1 year of experience with an advanced degree in an industry setting.
2 years of experience with performance, large scale systems data analysis, visualization tools, or debugging.
Nice to Haves
Master's degree or PhD in Computer Science or related technical fields.
2 years of experience with performance, large scale systems data analysis, visualization tools, or debugging.
2 years of experience with data structures or algorithms in either an academic or industry setting.
Knowledge of approximation methods and randomized algorithms.
Knowledge of database indexing design, ML algorithms, and/or computational geometry.
What You'll Be Doing
Build new sketching libraries and approximation methods to support new, critical use cases, including ML workloads
Work on 'AI components' for query processing, such as k-means clustering in GoogleSQL and vector/semantic search quantization improvements
Optimize and maintain existing sketching libraries (HLL++, KLL, D4M, etc.) in C++, Java and/or Go
Integrate new approximation features into the GoogleSQL language and libraries
Investigate state-of-the-art algorithms or augmentations to existing solutions based on research papers and prototyping
Perks and Benefits
Opportunities to switch teams and projects as you and the business grow
Be part of a team working on critical technologies that impact billions of users