Software Engineer III, Retail Advertiser Intelligence, Google Ads

As part of Retail Advertiser Intelligence, you will develop and maintain infrastructure powering products that provide retailers with reporting insights to make investment decisions, debug performance, and understand Google's competitiveness. Google Ads applies cutting-edge machine learning and Generative AI models like Gemini to power a multi-billion dollar global business, directly impacting billions of users by protecting them from harm, improving ad quality, and optimizing campaigns for advertiser return-on-investment. The role offers opportunities to work on state-of-the-art AI, tackle problems at an unparalleled scale, and build the next generation of advertising technology.

• Develop and maintain the core reporting infrastructure: RVL, UDFs, Reporting Servers, Dynamo.
• Work with Product Manager (PM) and User Experience (UX) to understand product requirements and develop features.
• Participate in oncall rotations and keep the system healthy.
• Design and improve advertiser experience latency.

• 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 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.
• Master's degree or PhD in Computer Science or related technical fields (preferred).
• 2 years of experience with data structures and algorithms (preferred).
• Experience developing accessible technologies (preferred).
• Experience working with large-scale infrastructure and data processing pipelines (preferred).
• Experience in data processing, aggregation and reporting (preferred).

Google develops next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Google Ads is at the forefront of AI innovation, powering a multi-billion dollar global business.

The team fosters a culture of deep collaboration, partnering closely with teams like Google Research and DeepMind to solve complex challenges.