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.
With your technical expertise, you will manage project priorities, deadlines, and deliverables. You will design, develop, test, deploy, maintain, and enhance software solutions.
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. ****
Responsibilities
- Write robust C++ code across our serving systems, real-time pipelines, and the optimization backend.
- Run A/B experiments to ensure your algorithmic changes genuinely improve campaign performance in the real world.
- Take ideas from whiteboard math to production reality. Handle the full lifecycle such as brainstorming, design, coding, launch, and operations.
- Translate complex ad quality problems into technical realities, working closely with Data Science, ML, and Product teams.
- Jump seamlessly between debugging low-level C++ infrastructure issues and debating high-level statistical models.
Qualifications
Minimum qualifications:
- Bachelor’s degree or equivalent practical experience.
- 5 years of experience with software development in one or more programming languages.
- 3 years of experience testing, maintaining, or launching software products, and 1 year of experience with software design and architecture.
- Experience in data analysis and coding with C++, Python, or SQL.
Preferred qualifications:
- Experience with ads quality, search quality, and auction theory.
- Knowledge of Colab, SQL, and Python.
- Ability to operate in analytically heavy domain area, or infrastructure (e.g., data pipelines, systems design, infrastructure productionization).
- Ability to communicate and critically examine technical and business problems.
- Ability to shift between infrastructure and quality problems.