Software Engineer, Expert Intelligence, Search

About this role

Minimum qualifications: Bachelor’s degree or equivalent practical experience.

2 years of experience with software development in C++ and Java.

Experience in domains related to information retrieval, search infrastructure, ranking systems, data quality, or signal extraction for content evaluation.

Experience in front-end web development (e.g., TypeScript and JavaScript).

Preferred qualifications: Master's degree or PhD in Computer Science or related technical fields.

2 years of experience with data structures and algorithms.

Experience developing accessible technologies.

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.

We want to establish a framework for integrating rights-protected, high-value data, such as eBooks and subscription based scholarly archives, directly into Google's GenAI products (e.g., NotebookLM, Gemini Deep Research), connecting consumers with the world’s leading experts. This role connects the platform to these surfaces where we want to launch. In this role, you will work across teams within Google. You will be working with teams across Google to unlock AI capabilities from premium content. In Google Search, we're reimagining what it means to search for information – any way and anywhere. To do that, we need to solve complex engineering challenges and expand our infrastructure, while maintaining a universally accessible and useful experience that people around the world rely on. In joining the Search team, you'll have an opportunity to make an impact on billions of people globally.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. Responsibilities:

Develop and maintain scalable software systems and infrastructure on top of LLMs, upholding high standards for code quality, system reliability, engineering best practices, and documentation.

Design, implement, and iterate on systems and algorithms to retrieve high-value content, which includes defining and extracting quality signals and building evaluation models.

Work closely with other engineers, product managers, and research teams across Google (such as Notebook LM, Play Books, Core Data, and Search).

Grow in a changing environment and successfully navigate the ambiguity inherent in the early stages of a new, rapidly growing initiative.

Exhibit artificial intelligence fluency is an expectation in this role. Be prepared to discuss your knowledge and use of AI tools during the hiring process.