Alphabet · Mountain View, CA

Staff Software Engineer, Agentic, Optimization, Recursive Self-Improvement

Mountain View, CA, USASenior individual contributorSoftware Engineering

Listed on Alphabet’s official careers site. Listed as of November 7, 2026. Check that it is still open and apply there.

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Job description

info_outline 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 looking for a Staff Software Engineer to help our efforts in Recursive Self-Improvement (RSI), Automated Prompt Optimization (APO), and Agentic prompt simplification.

We are working towards ensuring that multimodal journeys in Search are fully onboarded onto RSI, and we also motivate horizontal improvements across Search from our learnings. In this role, you will help set and execute the technical direction as part of a strong team for autonomous, closed-loop agentic systems that continuously optimize, compress, and modularize system instructions and agent trajectories—improving instruction-following fidelity, reasoning quality, and inference efficiency at scale.

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

$207000 - $300000 (USD) + 20% bonus target + equity + benefits Learn more about benefits at Google .

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