Google Cloud is seeking a Software Engineer specializing in Performance Modeling to join their ML, Systems, & Cloud AI (MSCA) organization. This role is crucial for developing and maintaining performance models of Google's systems, which power services used by billions of users worldwide. The position combines software development expertise with performance engineering, requiring strong skills in C++ or Python programming and deep understanding of system architecture.
The role involves working on critical projects for Google Cloud's infrastructure, with opportunities for growth and project diversity. You'll be part of a team that designs, implements, and manages hardware, software, machine learning, and systems infrastructure for all Google services including Search, YouTube, and Google Cloud services.
The ideal candidate will have strong technical foundations in computer science, with specific expertise in performance analysis and system architecture. You'll be working with cutting-edge technologies, including TPUs and global network infrastructure, while contributing to shaping the future of hyperscale computing. The position offers competitive compensation ($141,000-$202,000 base salary) plus bonus, equity, and comprehensive benefits.
Key responsibilities include developing performance models, conducting simulations, analyzing results, and collaborating with cross-functional teams to implement performance improvements. The role requires staying current with the latest developments in performance modeling and simulation technologies.
This is an excellent opportunity for someone passionate about system performance and optimization, offering the chance to work on large-scale systems that impact billions of users. The position provides the perfect blend of technical challenge and real-world impact, with the backing of Google's resources and innovative culture.