Software Engineer, Expert Intelligence, Search

About the 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

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

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.