Google is seeking a Static Timing Engineer to join their Cloud team, focusing on shaping the future of AI/ML hardware acceleration. This role is crucial in developing TPU (Tensor Processing Unit) technology that powers Google's most demanding AI/ML applications. The position involves working on physical implementation of ASICs using advanced technology nodes, with responsibilities including constraint development, validation, and timing closure of complex high-performance compute ASICs.
The role sits within the ML, Systems, & Cloud AI (MSCA) organization, which is responsible for designing, implementing, and managing hardware, software, machine learning, and systems infrastructure for all Google services and Google Cloud. The team's work impacts billions of users worldwide through services like Search, YouTube, and Cloud products including Vertex AI.
As a Static Timing Engineer, you'll be developing static timing methodologies, margins, automation scripts, and documentation. You'll collaborate with architecture, logic design, and Design for Testing (DFT) teams to implement requirements. The position requires expertise in static timing analysis, debug capabilities, and experience with tools like Primetime or Tempus Tcl scripting.
The role offers competitive compensation, including a base salary range of $132,000-$189,000, plus bonus, equity, and comprehensive benefits. This is an excellent opportunity for someone passionate about hardware acceleration and AI/ML infrastructure, wanting to work on cutting-edge technology that powers some of the world's most widely-used services.