Software Engineer, Knowledge Catalog For AI

About the role

MINIMUM QUALIFICATIONS:

• Bachelor’s degree or equivalent practical experience.
• 2 years of experience with developing large-scale infrastructure, distributed

systems or networks, or experience with compute technologies or storage.

• 2 years of experience with software development or 1 year of experience with

an advanced degree in an industry setting.

• Experience with Artificial Intelligence, Generative AI, and Generative AI

Agents.

• Experience with distributed systems and software architecture.

PREFERRED QUALIFICATIONS:

• Master's degree or PhD in Computer Science or related technical fields.
• Experience with shipping 0-to-1 AI applications, with a holistic

understanding of product, quality, and infra.

• Experience developing Cloud or SaaS products.
• Knowledge of data warehouses, big data, SQL, and data governance.

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 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. As a part of the team, you will help bridge the

gap between raw data and true business meaning, powering Google's Agentic Data

Cloud (demoed at Google Cloud Next ’26 - 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 (BigQuery, lakehouses, operational databases,

etc.).Google Cloud accelerates every organization’s ability to digitally

transform its business and industry. We deliver enterprise-grade solutions that

leverage Google’s 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.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

Learn more about benefits at Google

[https://www.google.com/about/careers/applications/benefits/].

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 (e.g., style guidelines, checking code in, accuracy, testability,

and efficiency).

• 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.