The AI and Infrastructure team is redefining what’s possible. We empower Google customers with breakthrough capabilities and insights by delivering AI and Infrastructure at unparalleled scale, efficiency, reliability and velocity. Our customers include Googlers, Google Cloud customers, and billions of Google users worldwide.
We're the driving force behind Google's groundbreaking innovations, empowering the development of our cutting-edge AI models, delivering unparalleled computing power to global services, and providing the essential platforms that enable developers to build the future. From software to hardware our teams are shaping the future of world-leading hyperscale computing, with key teams working on the development of our TPUs, Vertex AI for Google Cloud, Google Global Networking, Data Center operations, systems research, and much more. Individual pay is determined by factors including job-related skills, experience, and relevant education or training.
US: $174000 - $253000 (USD) + 15% bonus target + equity + benefits
Learn more about benefits at Google.
Write and test product or system development code.
Review code developed by other engineers and provide feedback to ensure best practices (e.g., style guidelines, checking code in, accuracy, testability, and efficiency).
Contribute to existing documentation or educational content and adapt content based on product/program updates and user feedback.
Triage product or system issues and debug/track/resolve by analyzing the sources of issues and the impact on hardware, network, or service operations and quality.
Participate in, or lead design reviews with peers and stakeholders to decide amongst available technologies.
Minimum qualifications
Bachelor’s degree or equivalent practical experience.
5 years of experience in low level systems programming languages (e.g. C++ or C)
3 years of experience testing, maintaining, or launching software products, and 1 year of experience with software design and architecture.
3 years of experience working with embedded operating systems.
Preferred qualifications
Master's degree or PhD in Computer Science or related technical field.
5 years of experience with data structures/algorithms.
1 year of experience in a technical leadership role.
Experience developing accessible technologies.
Bachelor’s degree or equivalent practical experience.
5 years of experience in low level systems programming languages (e.g. C++ or C)
3 years of experience testing, maintaining, or launching software products, and 1 year of experience with software design and architecture.
3 years of experience working with embedded operating systems.
