Senior Software Engineer, GenAI, Expert Intelligence
Summary
Senior engineer on Google Search's GenAI Expert Intelligence team, building scalable software and information-retrieval infrastructure on top of LLMs — designing algorithms to retrieve high-value content, extract quality signals, and build evaluation models. Core stack: Java, C++, and large-scale data pipelines.
With your technical expertise, you will manage project priorities, deadlines, and deliverables. You will design, develop, test, deploy, maintain, and enhance software solutions.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: $174000 - $252000 (USD) + 15% bonus target + equity + benefits
Learn more about benefits at Google.
- Build and maintain robust, scalable software systems and information retrieval infrastructure on top of Large Language Model (LLMs).
- Design, develop, and iterate on algorithms to retrieve high-value content, extract quality signals, and build evaluation models.
- Thrive in ambiguity and effectively navigate a fast-paced environment during the foundational stages of this new initiative.
- Collaborate closely with cross-functional teams, including engineers, product managers, and research teams across Google (e.g., NotebookLM, Play Books, Core Data, Search).
- Uphold high standards for code quality, system reliability, engineering best practices, and documentation.
Minimum qualifications:
- Bachelor’s degree or equivalent practical experience.
- 5 years of experience with software development in Java and C++.
- 1 year of experience with state of the art GenAI techniques (e.g., LLMs, Multi-Modal, Large Vision Models) or with GenAI-related concepts (language modeling, computer vision).
- Experience in fields related to data quality, information retrieval, ranking, search infrastructure, search quality, content evaluation, or signal extraction.
- Experience with large-scale data analysis, data pipelines (e.g., Flume), and statistical methods.
Preferred qualifications:
- Master's degree or PhD in Computer Science or related technical field.
- 5 years of experience with data structures and algorithms.
- 3 years of experience working in a complex, matrixed organization involving cross-functional, or cross-business projects.
- 1 year of experience in a technical leadership role.
- Experience developing accessible technologies.