Staff Software Engineer, Search Ads, AI Experiences

Google•Apply•Published 7 hours ago•First seen 7 hours ago

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.

The Search Ads team is aiming to re-invent Search Ads to serve users in Search AI Experiences (e.g., AI Mode, AI Overview). This involves innovating to create novel ad experiences and business models, as well as building new tech stack leveraging Gemini models.

As a Software Engineer, you will innovate on ad experiences for Search AI Mode, leveraging Gemini to bring incredible ad and search product experiences for users and advertisers. You'll leverage full stack engineering skills to develop distributed systems and LLM-based products.

Google Ads is helping power the open internet with the best technology that connects and creates value for people, publishers, advertisers, and Google. We’re made up of multiple teams, building Google’s Advertising products including search, display, shopping, travel and video advertising, as well as analytics. Our teams create trusted experiences between people and businesses with useful ads. We help grow businesses of all sizes from small businesses, to large brands, to YouTube creators, with effective advertiser tools that deliver measurable results. We also enable Google to engage with customers at scale.

The US base salary range for this full-time position is $197,000-$291,000 + 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

Provide technical leadership on high-impact projects.
Facilitate alignment and clarity across teams on goals, outcomes, and timelines.
Make changes in the production of Search and Search Ads systems, utilizing expertise in Java/Kotlin and C++.
Run and analyze experiments to present results to leadership and find areas of opportunity and improvement.
Contribute to our evaluation processes (e.g. LLM-based AutoRaters) as part of our development workflow.

Minimum qualifications:

Bachelor's degree in Computer Science or related technical field, or equivalent practical experience.
8 years of experience in software development.
5 years of experience testing, and launching software products.
5 years of experience with full stack development, across back-end such as Java, Python, Golang, or C++ codebases, and front-end experience including JavaScript or TypeScript, HTML, CSS or equivalent.
3 years of experience building and developing large-scale infrastructure or distributed systems.

Preferred qualifications:

8 years of experience with data structures and algorithms.
3 years of experience in a technical leadership role leading project teams and setting technical direction.
3 years of experience working in a complex, matrixed organization involving cross-functional, or cross-business projects.
Experience with C++, Java, or Large Language Models.
Ability to work and adapt in a fast-moving environment.