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Google is seeking a Software Engineer II for its Retrieval Engine team within Infrastructure. This role involves developing and improving large-scale information retrieval systems that power Google products like google.com and YouTube. The engineer will contribute to the core technical foundation, working on infrastructure and quality systems for GenAI models and search. Ideal candidates are versatile, display leadership qualities, and are enthusiastic about solving complex, full-stack problems at massive scale.
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.
Retrieval Engine's mission is to provide scalable, easy-to-use, information retrieval over all Google's data. It enables efficient, reliable, real-time retrieval over large-scale datasets containing multiple types of data, including embeddings, text, geo-locations, and numerics.
Retrieval Engine is used to power the worlds largest search engines such as google.com, YouTube.com and others and we're building infrastructure and quality systems that feed GenAI model's context windows with relevant information (example applications are Search AI Mode, Search AI Overviews, and Gemini).