Software Engineer III, Generative AI, Search Local Flagships
Google· Internet & Cloud Services· Aug 12, 2026 · 3mo agoPosted 76 days ago
Mountain View, CA, USA
In office
Full-time
Mid
$130K–$175K est.
2+ years exp
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Open 76 days.
Job description
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.
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: $147000 - $210000 (USD) + 15% bonus target + equity + benefits
Learn more about benefits at Google .
• Write product or system development code.
• Collaborate with peers and stakeholders through design and code reviews to ensure best practices amongst available technologies (e.g., style guidelines, checking code in, accuracy, testability, and efficiency).
• Contribute to existing documentation or educational content and adapt content based on product/program updates and user feedback.
• Triage product or system issues and debug/track/resolve by analyzing the sources of issues and the impact on hardware, network, or service operations and quality.
• Implement GenAI solutions, utilize ML infrastructure, and contribute to data preparation, optimization, and performance enhancements.
• Bachelor’s degree or equivalent practical experience.
• 2 years of experience with software development in one or more programming languages, or 1 year of experience with an advanced degree.
• 2 years of experience in data analytical tools or data analysis (e.g., SQL, Python, Business Intelligence, dashboards).
• Experience with GenAI techniques (e.g., LLMs, Multi-Modal, Large Vision Models) or with GenAI-related concepts (language modeling, computer vision).
• 1 year of experience in AI/ML research and Generative AI agent development.
• 1 year of experience with system design.
Minimum qualifications:
• Bachelor’s degree or equivalent practical experience.
• 2 years of experience with software development in one or more programming languages, or 1 year of experience with an advanced degree.
• 2 years of experience in data analytical tools or data analysis (e.g., SQL, Python, Business Intelligence, dashboards).
• Experience with GenAI techniques (e.g., LLMs, Multi-Modal, Large Vision Models) or with GenAI-related concepts (language modeling, computer vision).
• 1 year of experience in AI/ML research and Generative AI agent development.
• 1 year of experience with system design.
Preferred qualifications:
• Master's degree or PhD in Computer Science or related technical fields.
• Experience with Rasta, coLaboratory, business intelligence platform, or C++.
• Experience to collaborate across teams to drive product requirements and system designs.
• Understanding of the search stack.
• Ability to understand dynamic UI generation via Domain-Specific Language (DSL).
• Ability to analyze Side-by-Side (SxS) evaluations, find loss patterns, and propose prompt changes to reduce losses.
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