New offer - be the first one to apply!

November 21, 2025

Software Engineer, AlloyDB Semantic Search

Mid • On-site

$141,000 - $202,000/yr

Sunnyvale, CA

Minimum qualifications:

  • Bachelor’s degree or equivalent practical experience.
  • 2 years of experience in software development, including experience with system-level software or databases.
  • 2 years of experience with software development or 1 year of experience with an advanced degree in an industry setting.
  • Experience in the following: System Architecture, Distributed Computing, and Low Level Programming.
  • Experience programming in C or C++.

Preferred qualifications:

  • Master's degree or PhD in Computer Science or related technical fields.
  • Experience with one or more of the following: AI Algorithms, PostgreSQL, Database Internals, OLTP Databases.
  • Experience in problem-solving and delivering software solutions in a collaborative environment.
  • Familiarity with database concepts, operating systems, or cloud platforms.

About the job

Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google’s needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward.

As 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.

Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.

The US base salary range for this full-time position is $141,000-$202,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.

Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or 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.