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: $207000 - $300000 (USD) + 20% bonus target + equity + benefits
Learn more about benefits at Google.
Drive the technical strategy and architecture for essential Linux kernel subsystems, including memory management, CPU scheduling, BPF, and filesystems.
Own the scoping and strategy for critical systems engineering initiatives, guiding technical teams through ambiguous, low-level software challenges to meet the demands of Google's compute infrastructure.
Partner with Tech Leads, Engineering Managers, and cross-functional leadership across Platform Infrastructure and Google Cloud to align project roadmaps and establish clear technical boundaries.
Oversee end-to-end project execution to ensure teams successfully deliver on critical technical milestones.
Advocate for testing methodologies, system optimizations, and performance profiling to eliminate code regressions, reduce failure rates, and uphold fleet efficiency and data integrity.
Minimum qualifications
Bachelor's degree or equivalent practical experience.
8 years of experience programming in C++.
5 years of experience testing, and launching software products.
5 years of experience building and developing large-scale infrastructure, distributed systems or networks, or experience with compute technologies, storage, or hardware architecture.
3 years of experience with software design and architecture.
Experience with computer architecture, operating system and Kernel programming.
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 with Linux Kernel, CPU scheduling, memory management and virtualization.
Bachelor's degree or equivalent practical experience.
8 years of experience programming in C++.
5 years of experience testing, and launching software products.
5 years of experience building and developing large-scale infrastructure, distributed systems or networks, or experience with compute technologies, storage, or hardware architecture.
3 years of experience with software design and architecture.
Experience with computer architecture, operating system and Kernel programming.
