Software Engineer, Expert Intelligence, Search

Google•Mountain View, CA

2h•$147,000 - $210,000

About The Position

Google's software engineers develop next-generation technologies that help billions of users connect, explore, and interact with information. Engineers work on projects critical to Google's needs and may work across the full stack, drawing on areas such as information retrieval, distributed computing, large-scale system design, networking, data storage, security, artificial intelligence, natural language processing, UI design, and mobile development. This role will help establish a framework for integrating rights-protected, high-value data, including eBooks and subscription-based scholarly archives, into Google's generative AI products such as NotebookLM and Gemini Deep Research. The work connects the platform to product surfaces and enables AI capabilities using premium content. The engineer will collaborate across Google teams and contribute to Google Search's efforts to expand infrastructure while maintaining a universally accessible and useful experience. Individual pay is determined by factors including job-related skills, experience, and relevant education or training. The listed U.S. compensation is $147,000–$210,000 USD, plus a 15% bonus target, equity, and benefits.

Requirements

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, such as TypeScript and JavaScript.

Nice To Haves

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.

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, including defining and extracting quality signals and building evaluation models.
Work closely with engineers, product managers, and research teams across Google, including teams such as NotebookLM, Play Books, Core Data, and Search.
Grow in a changing environment and navigate the ambiguity inherent in the early stages of a new, rapidly growing initiative.
Demonstrate artificial intelligence fluency and be prepared to discuss knowledge and use of AI tools during the hiring process.