Staff Software Engineer, Linux Kernel Memory Management

About The Job Google's software engineers develop next-generation technologies that scale to billions of users. We are looking for engineers who bring fresh ideas across areas such as information retrieval, distributed computing, large-scale system design, networking and data storage, security, AI, natural language processing, UI design, and mobile. As a software engineer, you will work on a project critical to Google’s needs with opportunities to switch teams and projects as the company grows. We expect versatility, leadership qualities, and enthusiasm to tackle new problems across the full stack. The AI and Infrastructure team enables Google customers with AI and infrastructure at scale, efficiency, reliability and velocity. Our customers include Googlers, Google Cloud customers, and billions of Google users worldwide. We are involved in projects ranging from AI model development to hyperscale infrastructure, including TPUs, Vertex AI for Google Cloud, Google Global Networking, data center operations and more. Individual pay is determined by factors including job-related skills, experience, and relevant education or training. US: $207000 - $301000 (USD) + 20% bonus target + equity + benefits. Responsibilities Lead the design, development, and implementation of new features and optimizations within the Linux kernel memory management subsystem for Prodkernel. Define and drive the technical strategy and roadmap for future memory architectures to enhance performance and reduce Total Cost of Ownership (TCO) across Google's fleet. Lead efforts in memory tiering, Non-Uniform Memory Access (NUMA) optimization, swap, memory overcommit, and the integration of new memory technologies. Collaborate with the open-source Linux kernel community, driving Google's requirements and contributions upstream. Provide technical leadership, guidance, and mentorship to other engineers on the team. Minimum qualifications Bachelor's degree or equivalent practical experience. 8 years of experience programming in C++. 5 years of experience building and developing large-scale infrastructure, distributed systems or networks, or experience with compute technologies, storage, or hardware architecture. 5 years of experience testing, and launching software products. 3 years of experience with software design and architecture. Experience with Linux Kernel Internals, Memory Management, C, Linux Kernel, Operating Systems, and Debugging/Troubleshooting. 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 Performance Analysis and Analytical Thinking. #J-18808-Ljbffr Google