Software Engineer, Expert Intelligence, Search

Software Engineer, Expert Intelligence, Search Share: Share Software Engineer, Expert Intelligence, Search

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Location: Mountain View, CA, USA

Experience Level: Mid

Experience driving progress, solving problems, and mentoring more junior team members; deeper expertise and applied knowledge within relevant area.

Apply X In most instances, this position requires in-person interviews as part of the hiring process.

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 Salary: $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; be prepared to discuss your knowledge and use of AI tools during the hiring process.

Information collected and processed as part of your Google Careers profile, and any job applications you choose to submit is subject to Google's Applicant and Candidate Privacy Policy.

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 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. See also Google's EEO Policy, Know your rights: workplace discrimination is illegal, Belonging at Google, and How we hire.

If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form.

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.