Senior Staff Software Engineer, Knowledge Catalog For AI

Google Inc.; Sunnyvale (CA); On-site; USD 262,000 - 365,000; Full time

Benefits offered by this job

Equity

Bonus target 25%

Benefits

Job summary

Google Inc. is seeking a Senior Staff Software Engineer for Knowledge Catalog for AI in Sunnyvale, CA. You will own architectural direction, lead ML design, and drive deployment and optimization across large-scale AI infrastructure.

You will mentor engineers, shape product-roadmap insights, and collaborate with product managers to ensure scalable, reliable systems. The role emphasizes leadership, cross-functional influence, and delivering enterprise-grade AI solutions, leveraging GenAI

Qualifications

• Bachelor's degree or equivalent practical experience.
• 8 years of experience in software development.
• 5 years of experience testing, and launching software products, and 3 years of experience with software design and architecture.
• 5 years of experience leading ML design and optimizing ML infrastructure (e.g., model deployment, model evaluation, data processing, debugging, fine tuning).
• 2 years of experience with GenAI techniques (e.g., LLMs, Multi-Modal, LVMs) or GenAI concepts (language modeling, computer vision).
• Experience with software development in one or more general purpose programming languages (e.g., Java, C/C++, or Go).

Responsibilities

• Generate critical ideas and own the architectural direction for highly ambiguous problem spaces.
• Act as a technical multiplier and influence decisions across Google Cloud products.
• Apply strong product-thinking to align technical capabilities with customer needs.
• Provide technical guidance and leadership to engineers across the team.

Skills

Software development experience

ML design

GenAI techniques

Programming languages

Education

Bachelor's degree or equivalent

Master’s degree or PhD

Tools

Java

C/C++

Go

SQL / Data Warehousing

Job description

Senior Staff Software Engineer, Knowledge Catalog For AI

corporate_fare Google place Sunnyvale, CA, USA

• Bachelor's degree or equivalent practical experience.
• 8 years of experience in software development.
• 5 years of experience testing, and launching software products, and 3 years of experience with software design and architecture.
• 5 years of experience leading ML design and optimizing ML infrastructure (e.g., model deployment, model evaluation, data processing, debugging, fine tuning).
• 2 years of experience with GenAI techniques (e.g., Large Language Models (LLMs), Multi-Modal, Large Vision Models) or with GenAI-related concepts (e.g., language modeling, computer vision).
• Experience with software development in one or more general purpose programming languages (e.g., Java, C/C++, or Go, etc.).

Preferred qualifications:

• Master’s degree or PhD in Engineering, Computer Science, or a related technical field.
• 8 years of experience with data structures and algorithms.
• 3 years of experience in a technical leadership role leading project teams and setting technical direction.
• Experience with shipping 0-to-1 AI applications, with a holistic understanding of product, quality, and infra.
• 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.

With your technical expertise you will manage project priorities, deadlines, and deliverables. You will design, develop, test, deploy, maintain, and enhance software solutions.

Knowledge Catalog is the foundational context engine for the AI era designed as always-on enterprise-wide catalog for AI, it serves as the single reliable source of truth for both human users and AI agents. By bridging the gap between raw data and true business meaning, we power Google's Agentic Data Cloud (demoed at Google Cloud Next 26 - Agentic Data Cloud), enabling AI agents to reason, act, and execute on enterprise data. It provides universal business context and governance for your entire data estate. Data teams and AI developers use Knowledge Catalog to discover data, enforce policies, and retrieve context for both analytics and self-sustaining 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.

US: $262000 - $365000 (USD) + 25% bonus target + equity + benefits

• Generate critical ideas and own the architectural direction for highly ambiguous problem spaces. Maintain a direct approach to coding and system design while setting the standard for engineering excellence.
• Act as a technical multiplier. Navigate complex organizational structures to influence technical decisions and align outcomes across various Google Cloud products and distinct engineering organizations.
• Apply strong product‑thinking to technical issues. Partner closely with engineering and product managers to define the long‑term roadmap and ensure our technical capabilities align with customer and business needs.
• Provide technical guidance, mentorship, and leadership to engineers across the team, elevating the overall capability and velocity of the organization.

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.

Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting.

To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees, or any other organization location. Google is not responsible for any fees related to unsolicited resumes.

Equity is granted exclusively and discretionarily by Alphabet Inc. on the basis of an agreement concluded between you and Alphabet Inc. Alphabet Inc. is your sole contractual partner with respect to equity grants. GSU grants are not guaranteed, are discretionary, are subject to approval by the Alphabet Inc. board of directors or its delegate, the terms of the relevant Alphabet Inc. stock plan, and your grant agreement. They have no impact on statutory payments. Current or past grants do not confer an acquired right.