Join Google Cloud as a Silicon Networking RTL Design Engineer, where you'll be at the forefront of AI/ML hardware acceleration technology. This role focuses on developing cutting-edge TPU (Tensor Processing Unit) technology that powers Google's most demanding AI/ML applications. You'll be part of the ML, Systems, & Cloud AI (MSCA) organization, working on custom silicon solutions that accelerate and improve traffic efficiency in data centers.
As a senior technical member, you'll collaborate with cross-functional teams in architecture, verification, power and performance, and physical design to deliver high-quality designs for next-generation data center accelerators. Your responsibilities will include solving complex technical problems through innovative micro-architecture and practical logic solutions, while considering factors like complexity, performance, power, and area optimization.
The position offers the opportunity to work on technology that impacts billions of users worldwide through Google's services and Google Cloud. You'll be contributing to the development of ASICs that are crucial for Google's infrastructure, working with state-of-the-art tools and methodologies in hardware design. The role combines deep technical expertise in hardware design with the excitement of working on next-generation AI acceleration technology.
This is an excellent opportunity for experienced hardware engineers who want to make a significant impact on Google's infrastructure while working with cutting-edge technology in AI/ML hardware acceleration. You'll be part of a diverse team that pushes boundaries and develops solutions that power the future of Google's TPU technology.