As a part of the team, you will build the auction infrastructure for Search Ads which serves as the backbone of many auction mechanisms and ad product innovations, at Google Search scale. You will be exposed to not only critical backend infra work where we strive for a robust, agile and efficient auction infra, but also sophisticated auction mechanisms, and the latest product explorations in Search advertising in the era of AI through collaborations with our partner teams.
Google Ads is at the forefront of AI innovation, applying 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 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: $174000 - $252000 (USD) + 15% bonus target + equity + benefits
Learn more about benefits at Google.
Responsibilities
- Develop auction backend in C++ to build an agile auction framework that supports various needs.
- Participate in technical discussion and designs to build a high quality infra.
- Lead junior team members by setting direction for their project and closely following up on progress through the lifetime of the project.
- Reduce tech debt and improve code health.
- Evaluate the impact of changes through experimentation, data analysis and other tools.
Minimum qualifications:
- Bachelor’s degree or equivalent practical experience.
- 5 years of experience with software development in C++.
- 3 years of experience with developing large-scale infrastructure, distributed systems or networks.
- Experience designing, building, and operating large-scale distributed systems, with a focus on scalability, fault tolerance, and reliability.
Preferred qualifications:
- Master's degree or PhD in Computer Science or related technical field.
- 5 years of experience with data structures and algorithms.
- 1 year of experience in a technical leadership role.
- Experience with game theory or auction theory.