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: $147000 - $210000 (USD) + 15% bonus target + equity + benefits
Learn more about benefits at Google.
Write product or system development code.
Participate in, or lead design reviews with peers and stakeholders to decide amongst available technologies.
Review code developed by other developers 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.
Minimum qualifications
Bachelor’s degree or equivalent practical experience.
2 years of experience programming in C++, Python or Go.
2 years of experience with developing large-scale infrastructure, distributed systems or networks, or experience with cloud computing technologies, storage or hardware architecture.
Preferred qualifications
Master's degree or PhD in Computer Science or related technical fields.
2 years of experience with performance, large scale systems data analysis, visualization tools, or debugging.
2 years of experience with data structures and algorithms in either an academic or industry setting.
Experience developing accessible technologies.
Proficiency in code and system health, diagnosis and resolution, and software test engineering.
Bachelor’s degree or equivalent practical experience.
2 years of experience programming in C++, Python or Go.
2 years of experience with developing large-scale infrastructure, distributed systems or networks, or experience with cloud computing technologies, storage or hardware architecture.
