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Salary
≈ $169k – $325k per year (Estimated)
Location
In office (Mountain View)
Seniority
Senior · 5+ years exp

Confirmed on the employer's own hiring board on Nov 3, 2026. First seen by Alion on Oct 30, 2026. Google scores B on the Alion truth index.

Overview
Company
Impact
Profile match
Google is an American technology company founded in 1998 by Larry Page and Sergey Brin and now the principal subsidiary of Alphabet, headquartered in Mountain View, California. It operates the world's dominant search engine and the advertising system built around it, along with YouTube, Android, Chrome, Gmail, Maps, Workspace and Google Cloud, reaching billions of users across nearly every internet-connected market. The company designs its own silicon in the Tensor Processing Unit line, develops the Gemini foundation models through Google DeepMind, and derives most of its revenue from advertising while cloud has become its fastest growing segment.

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.

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.

Responsibilities

  • 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.

Qualifications

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.
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