Google
US - Washington - Seattle
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Lead and grow the Google Compute Engine Cloud Memory engineering team, focusing on memory efficiency, NUMA and memory topology, memory tiering, and error recovery. Set team priorities and technical roadmaps, guide system design and code quality, and coach engineers on performance and development.
Requirements: Requires a bachelor's degree or equivalent practical experience, at least 8 years of software development experience, 3 years in large-scale infrastructure or related technical areas, 3 years in technical leadership, and 2 years in people or team leadership. Preferred qualifications include a master's degree or PhD, experience in a complex organization, and expertise in Rust, virtualization, the Linux kernel, memory architecture, operating systems, or cloud memory management.
Key Skills: Software Development, Distributed Systems, Large-Scale Infrastructure, Technical Leadership, People Management, Rust, Virtualization, Linux Kernel, Memory Architecture, Operating Systems, Memory Management, NUMA, Memory Topology, Memory Tiering, Error Recovery, Cloud Computing
Benefits: Bonus, Equity, Benefits
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