Google Cloud is seeking a Software Engineer specializing in Performance Modeling to join their ML, Systems, & Cloud AI (MSCA) organization. This role is crucial in developing and maintaining performance models for Google's extensive infrastructure that powers services like Search, YouTube, and Google Cloud.
The position combines software engineering expertise with performance analysis, requiring proficiency in C++ or Python and a strong background in system performance evaluation. You'll be working on critical projects that impact billions of users worldwide, focusing on security, efficiency, and reliability across Google's hyperscale computing infrastructure.
As a Performance Modeling Engineer, you'll be responsible for developing sophisticated performance models, conducting simulations, and analyzing results to optimize system performance. The role involves close collaboration with cross-functional teams and requires staying current with the latest developments in performance modeling and simulation techniques.
The position offers competitive compensation ($141,000-$202,000 base salary) plus bonus, equity, and comprehensive benefits. You'll be part of Google Cloud's innovative team, working on next-generation technologies including TPUs and Vertex AI platform, which brings Gemini models to enterprise customers.
This is an excellent opportunity for someone with a strong technical background who wants to impact global-scale systems. The role combines hands-on coding with performance engineering, making it ideal for engineers interested in both software development and system optimization. You'll be working in either Raleigh or Durham, NC, contributing to Google's mission of organizing the world's information and making it universally accessible and useful.