About The Job
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.
The Google Ads Mission
The Google Ads Mission is “Powering the open and free internet with the best technology that connects users and businesses everywhere.” Google Ads operates across several countries and is composed of the following engineering teams: Search Ads, Display, Video Ads and Apps (AViD), YouTube Ads, Analytics, Insights & Measurements (AIM), Ads Privacy & Safety (APaS), Commerce, Travel and Customer Engagement, and two Departments: Reach UX and Ads Engineering Productivity.
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
Design, develop, test, deploy, maintain, and improve software. Manage individual project priorities, deadlines, and deliverables.
Qualifications
Minimum qualifications:
- 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 in an industry setting.
- 2 years of experience with data structures or algorithms in either an academic or industry setting.
Preferred qualifications:
- Master's degree or PhD in Computer Science or related technical field.
- 2 years of experience with performance, large scale systems data analysis, visualization tools, or debugging.
- Experience developing accessible technologies.
- Proficiency in code and system health, diagnosis and resolution, and software test engineering.
Benefits Extracted with AI
- Bonus
- Equity
- Health Insurance
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