Join Google Cloud as a Silicon Subsystems RTL Design Engineer and shape the future of AI/ML hardware acceleration. You'll be working on cutting-edge TPU (Tensor Processing Unit) technology that powers Google's most demanding AI/ML applications. As part of the ML, Systems, & Cloud AI (MSCA) organization, you'll develop custom silicon solutions for next-generation data center accelerators.
Your role involves collaborating with architecture, verification, power and performance, and physical design teams to deliver quality designs. You'll solve technical challenges through innovative micro-architecture and logic solutions, while considering complexity, performance, power, and area trade-offs. The position requires expertise in ASIC development, design verification, and subsystem architecture.
The impact of your work will be significant, contributing to Google Cloud's Vertex AI platform and helping shape the future of hyperscale computing. You'll be part of a team that prioritizes security, efficiency, and reliability across all aspects of development, from TPU development to global network operations.
This is an excellent opportunity for experienced engineers passionate about hardware design and AI acceleration. You'll work with cutting-edge technology, collaborate with world-class teams, and contribute to products used by billions of people worldwide. The role offers the chance to work on complex technical challenges while driving innovation in the rapidly evolving field of AI hardware acceleration.