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September 23, 2025

Software Engineer, Search Qualification Platform

Mid • On-site

$141,000 - $202,000/yr

Cambridge, MA

Minimum qualifications:

  • Bachelor’s degree or equivalent practical experience.
  • 2 years of experience in software development.
  • 2 years of experience with software design, testing, and launching software products.
  • Experience programming in one or more of the following languages: Ruby, Python, Java, C++.

Preferred qualifications:

  • Bachelor's, Master's, PhD degree in computer science or a related field.
  • Experience with productivity solutions.
  • Experience with Large Language Model (LLM) or Gen-AI tools to deliver productivity improvements.
  • Experience with Model life cycle management.
  • Experience with test automation development.
  • Experience with Engineering Tools and 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.

We are seeking a motivated Software Engineer to join our Search Qualification Platform team. In this critical role, you will play a key part in working towards building smart solutions that would radically enhance the search developer experience powered by Generative Artificial Intelligence (GenAI). You will be a driving force in evolving our technology, collaborating with cross-functional teams, and delivering innovative solutions that impact users.

Be part of the team that fuels Google Search, a product critical to Google's growth, brand, and business. As part of the Search Qualification Platform (SQP) within the Search Platforms team, you'll build the critical infrastructure and tools that empower 6,000+ Search engineers to develop and ship code with unprecedented velocity and high reliability using GenAI.

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.

The US base salary range for this full-time position is $141,000-$202,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.

Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google.

Responsibilities

  • Identify and build effective solutions to solve developer pain points for Search feature development.
  • Lead technical initiatives, driving projects from conception to launch in collaboration with cross-functional teams across Search.
  • Address technical problems and develop innovative solutions that enhance the performance, scalability, and reliability of Search platform.
  • Communicate technical ideas to both technical and non-technical audiences.
  • Be willing to manage with ambiguity and learning new technologies