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Software Engineer, Retrieval Engine

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Onsite

Software Engineer, Retrieval Engine

Google

Software Engineer, Retrieval Engine

Skills

Machine Learning

6 days ago

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Important information


Contract type:

Permanent

Salary:

$147,000 – $210,000 / year

Location:

San Jose, CA, USA

Work mode:

Onsite

Published on:

14 October 2026

What they need


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 year of experience in coding with C++.
  • 2 years of experience with distributed systems.

Preferred qualifications:

  • Master's degree or PhD in Computer Science, or a related technical field.
  • 2 years of experience with machine learning infrastructure.

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.

Retrieval Engine's mission is to provide scalable, easy-to-use, cutting-edge 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).

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.

Responsibilities

  • Improve the infrastructure that powers information retrieval and query understanding for surfaces like Gemini, google.com and others.
  • Work on systems that are highly reliable, massively distributed and very low latency.
  • Scale and optimize systems to scale to even larger work loads and work even more efficiently.

Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.

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