Minimum qualifications:
- Bachelor’s degree or equivalent practical experience.
- 5 years of experience with software development in CSS, HTML and TypeScript.
- 3 years of experience with front-end and user interface development.
- 3 years of experience testing, maintaining, or launching software product.
- 1 year of experience in software performance analysis.
- Experience in infrastructure design and system architecture.
Preferred qualifications:
- Master's degree or PhD in Computer Science or a related technical field.
- 5 years of experience with data structures and algorithms.
- 1 year of experience in a technical leadership role.
- Experience developing accessible technologies.
- Experience with performance and reliability investigations, including identifying, designing, implementing, and landing performance and reliability improvements.
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. 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.
In this role, you will improve the performance and reliability of Google Meet.
AI will change the future of work in profound ways, and our products— Gmail, Docs, Drive, Calendar, Sheets, Vids and Meet are at the forefront. From pre-computed summaries for email threads, summaries for meetings, and videos created from a document using lifelike AI avatars, our AI opportunity is huge. Our mission is to meaningfully connect people so they can create, build, and grow together and as part of the team you can build how productivity tools should work 5-10 years into the future. You will work with model builders (Google DeepMind), work with exceptional leaders, and have the ability to impact billions of users across the world.
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
- Build performance tracing and debugging tools.
- Identify bottlenecks in HTML parsing, CSS construction, JavaScript module loading, dependency trees, and execution.
- Utilize browser heap profilers to identify and resolve memory leaks in long-lived sessions.
- Implement advanced loading strategies involving large-scale infrastructure changes.
- Optimize code-splitting strategies, tree-shaking efficiency, and dependency audits to minimize the "JavaScript tax."