Minimum qualifications:- Bachelor's degree or equivalent practical experience.
- 5 years of experience in software development for core system-level software such as databases, operating systems, or kernels.
- 5 years of programming experience in C, C or Java.
- 3 years of experience building and developing large-scale infrastructure or distributed systems.
- 3 years of experience with distributed computing.
Preferred qualifications:- Master's degree or PhD in Computer Science or related technical fields.
- Experience with database internals (e.g., PostgreSQL, GraphQL, OLTP databases), transactional systems, compilers, or data storage.
- Experience with AI Algorithms.
About the jobAs a Software Engineer focusing on semantic search for AlloyDB, you'll have the opportunity to contribute to AI/GenAI features within an innovative, Google open-source PostgreSQL-based database product. You'll play a key role in building new database features that integrate advanced semantic search capabilities.
You'll be instrumental in designing, developing, and implementing semantic search capabilities within AlloyDB, focusing on delivering robust, scalable, and high-performance features.
You'll be involved in bringing novel innovations to the core database engine, including areas like query processing, indexing, and vector embedding. Your work will directly impact our enterprise customers, empowering them to leverage the power of semantic search within their AlloyDB applications.
Individual pay is determined by factors including job-related skills, experience, and relevant education or training.
US: $174000 - $253000 (USD) 15% bonus target equity benefits
Learn more about benefits at Google .
Responsibilities - Design, develop, and implement semantic search capabilities within AlloyDB, focusing on delivering robust, scalable, and high-performance features.
- Collaborate with engineers across various teams to understand requirements and build effective semantic search solutions.
- Take ownership of specific components and contribute to the team's technical discussions, continuously learning and applying best practices.
- Build new database features that integrate advanced semantic search capabilities.
- Contribute to key technical projects and work within a fast-moving, innovative environment.
