Software Engineer, Performance Modeling

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 for Google's vast infrastructure that supports services like Search, YouTube, and Google Cloud. The position requires expertise in C++ or Python programming, with a focus on performance analysis and system optimization.

The role involves working with cutting-edge technologies in distributed computing, large-scale system design, and artificial intelligence. You'll be responsible for conducting simulations, analyzing results, and implementing performance improvements across Google's systems. The team's work directly impacts billions of users worldwide through Google's services and Cloud platform.

As a Performance Modeling Engineer, you'll collaborate with cross-functional teams, working on critical projects that shape the future of hyperscale computing. The position offers exposure to advanced technologies like TPUs and Vertex AI, Google's leading AI platform for enterprise customers. You'll be part of an organization that prioritizes security, efficiency, and reliability in everything from hardware development to global network management.

The role offers competitive compensation including a base salary range of $141,000-$202,000, plus bonus, equity, and comprehensive benefits. This is an excellent opportunity for someone with a strong background in performance engineering who wants to make a significant impact on global-scale systems while working with the latest technologies in cloud computing and artificial intelligence.

The ideal candidate will have at least 2 years of experience in software development and performance engineering, with preferred qualifications including advanced degrees in performance evaluation and experience with computer architecture, particularly System on Chip (SoC) architecture. The position offers growth opportunities and the chance to work on challenging problems that push the boundaries of technology.