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. We strive to organize the world's information to make it universally accessible and useful, but we know that relevance means something different to each person. The Social team recognizes that great information is more than pages -- it's also about relationships. We want all of Google's products to reflect something personal, and we're dedicated to making your Google experience centered around you.
The US base salary range for this full-time position is $174,000-$252,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.
Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google.
Responsibilities
- Own the design and architecture of project components, scoping problems and recommending solutions for both short and long-term needs.
- Drive the evaluation and recommendation of AI strategies (e.g., prompt engineering) to solve technical problems and increase team velocity.
- Implement high-complexity technical solutions.
- Design and execute testing strategies, including integration and performance testing, to ensure quality and reliability.
- Guide implementation, ensuring the systems are scalable and maintainable.
Qualifications
Minimum qualifications:
- Bachelor's degree or equivalent practical experience.
- 5 years of experience with software development in one or more programming languages.
- Experience in SQL.
Preferred qualifications:
- Master's degree or PhD in Computer Science, or a related technical field.
- 5 years of experience with data structures and algorithms.
- 5 years of experience with performance and large-scale systems data analysis, visualization tools, or debugging.
- Experience supporting non-profits or other philanthropic organizations.