Silicon RTL Design Engineer, TPU, Google Cloud

Join Google's ML, Systems, & Cloud AI (MSCA) organization as a Silicon RTL Design Engineer working on TPU (Tensor Processing Unit) technology. In this role, you'll be at the forefront of AI/ML hardware acceleration, developing custom silicon solutions that power Google's most demanding AI/ML applications. You'll be part of a team creating SoCs used to accelerate machine learning computation in data centers, solving technical problems with innovative logic solutions while considering performance, power, and area optimization.

The position involves working closely with architecture, verification, power and performance, and physical design teams to deliver high-quality designs for next-generation data center accelerators. You'll contribute to the technology that powers Google's services and Google Cloud, including Vertex AI platform which brings Gemini models to enterprise customers.

This is an opportunity to shape the future of AI hardware acceleration at Google, working with cutting-edge TPU technology that's essential for Google's AI/ML applications. You'll be part of a diverse team that pushes boundaries in custom silicon development, leveraging your expertise in design and verification of complex digital designs.

The role requires strong technical skills in ASIC/SoC development, micro-architecture design, and verification, with a focus on power and performance optimization. You'll be contributing to Google's hyperscale computing future while prioritizing security, efficiency, and reliability across all aspects of development.

The impact of your work will be felt across Google's services used by billions of people worldwide, making this an exciting opportunity for someone passionate about hardware design and AI technology advancement.