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: $207000 - $300000 (USD) + 20% bonus target + equity + benefits
Learn more about benefits at Google.
Provide technical leadership on projects.
Influence and coach a distributed team of engineers.
Facilitate alignment and clarity across teams on goals, outcomes, and timelines.
Leverage hardware/software co-design to unlock new performance capabilities, translating your deep knowledge of modern server architecture into targeted software enhancements.
Investigate massive database and analytics workloads to identify and resolve critical performance bottlenecks across the entire compute stack.
Minimum qualifications
Bachelor's degree or equivalent practical experience.
8 years of experience programming in C++ or Python.
5 years of experience with performance, large-scale systems data analysis, visualization tools, or debugging.
Experience with database internals.
Experience in performance analysis and software architecture.
Preferred qualifications
Master’s degree or PhD in Engineering, Computer Science, or a related technical field.
8 years of experience with data structures and algorithms.
3 years of experience in a technical leadership role leading project teams and setting technical direction.
3 years of experience working in a complex, matrixed organization involving cross-functional, or cross-business projects.
Experience in computer architecture.
Bachelor's degree or equivalent practical experience.
8 years of experience programming in C++ or Python.
5 years of experience with performance, large-scale systems data analysis, visualization tools, or debugging.
Experience with database internals.
Experience in performance analysis and software architecture.
