Join Google's ML, Systems, & Cloud AI (MSCA) organization as a CPU Performance Modeling Engineer, where you'll be instrumental in developing custom silicon solutions that power Google's direct-to-consumer products. This role involves working closely with system teams and the CPU Architecture team to understand CPU, SoC, performance metrics, and optimization opportunities. You'll be responsible for developing methods to model CPU performance at various accuracy levels, supporting architectural explorations, and correlating performance projections with post-silicon data.
The position is part of Google's broader initiative in hyperscale computing, where you'll contribute to the infrastructure that powers major services like Search, YouTube, and Google Cloud. The role combines hardware expertise with software development, particularly in the context of CPU architecture and performance optimization. You'll be working with cutting-edge technology, including Google Cloud's Vertex AI platform, and contributing to the future of machine learning infrastructure.
This is an excellent opportunity for someone with a strong background in computer engineering and performance analysis who wants to impact billions of users worldwide. The role offers the chance to work with state-of-the-art hardware and software systems while collaborating with expert teams across Google's technical infrastructure. You'll be at the forefront of developing and optimizing the next generation of Google's computing systems.