Software Engineer, Knowledge Catalog For AIGoogle'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. As a part of the Knowledge Catalog, you will work on the foundational context engine for the AI era. In this role, you will work on an always-on, enterprise-wide catalog for AI that serves as the single source of truth for both human users and AI agents. In this role, you will help bridge the gap between raw data and true business meaning, powering Google's Agentic Data Cloud and enabling AI agents to reason, act, and execute on complex enterprise data. You will provide universal business context and governance for your entire data estate as Data teams and AI developers use Knowledge Catalog to discover data, enforce policies, and retrieve rich context for both analytics and autonomous applications. In this role, you will empower AI agents across industry-leading Google Cloud and third-party data ecosystems.
Responsibilities:
Write product or system development code.
Participate in, or lead design reviews with peers and stakeholders to decide amongst available technologies.
Review code developed by other developers and provide feedback to ensure best practices.
Contribute to existing documentation or educational content and adapt content based on product/program updates and user feedback.
Triage product or system issues and debug/track/resolve by analyzing the sources of issues and the impact on hardware, network, or service operations and quality.
Individual pay is determined by factors including job-related skills, experience, and relevant education or training. US: $147000 - $210000 (USD) + 15% bonus target + equity + benefits.
Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law.