The role
From Google's own posting.
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.
As a part of the Ads Budgeting, you will allow Advertisers to spend their budgets/money through Ads systems effectively to increase their business goals. You will be at core of the Ads Ecosystems and interact closely with Bidding, Auctions, Targeting and Serving.
As a part of the Ads Budgeting team, you will paces Advertisers’ budgets effectively to increase their business goals. You will work on all Campaign Types - Search, YouTube, Gmail. Discovery, App campaigns etc, and hence all of Google Ads revenue goes through Budgeting systems. In this role, as a Budgeting Quality engineers, you will be responsible for running experiments on this revenue to further improve Advertiser experience by providing them better ROI (Return on investment) for their budgets.Google Ads is at the forefront of AI innovation, applying cutting-edge machine learning and Generative AI models like Gemini to power a multi-billion dollar global business.
Our work directly impacts billions of users by protecting users from harm, improving ad quality, and optimizing campaigns for advertiser return-on-investment. We foster a culture of deep collaboration, partnering closely with teams like Google Research and DeepMind to solve complex challenges. Join us to work on state-of-the-art AI, take on problems at an unparalleled scale, and build the next generation of advertising technology.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 .
Provide technical leadership on high-impact projects.
Influence and coach a distributed team of engineers.
Facilitate alignment and clarity across teams on goals, outcomes, and timelines.
Manage project priorities, deadlines, and deliverables.
Design, develop, test, deploy, maintain, and enhance large-scale software solutions.
Minimum qualifications:
Bachelor's degree or equivalent practical experience.
8 years of experience programming in C++, Java, Python, Kotlin or Go.
5 years of experience with large-scale distributed systems, real-time control/optimization systems, or ML/forecasting pipelines.
5 years of experience testing, and launching software products.
3 years of experience with software design and architecture.
Preferred qualifications:
Master’s degree or PhD in Engineering, Computer Science, or a related technical field.
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.
Bachelor's degree or equivalent practical experience.
8 years of experience programming in C++, Java, Python, Kotlin or Go.
5 years of experience with large-scale distributed systems, real-time control/optimization systems, or ML/forecasting pipelines.
5 years of experience testing, and launching software products.
3 years of experience with software design and architecture.