AI/ML RTL Design Engineer, TPU, Google Cloud

Google is seeking an AI/ML RTL Design Engineer to join their TPU (Tensor Processing Unit) team in Bengaluru. This role is crucial in shaping the future of AI/ML hardware acceleration, working on cutting-edge TPU technology that powers Google's most demanding AI/ML applications. The position involves developing System-on-a-chip (SoC) solutions used to accelerate machine learning computation in data centers.

As part of the Technical Infrastructure team, you'll be responsible for implementing AI/ML compute-intensive IPs and subsystems, managing RTL implementation, and working on design methodology. The role requires expertise in ASIC/SoC development, machine learning hardware design, and verification processes. You'll collaborate with various teams including architecture, verification, power and performance, and physical design to deliver high-quality solutions for next-generation data center accelerators.

The ideal candidate will have strong experience in hardware design, particularly with Verilog/SystemVerilog, and a solid understanding of machine learning architectures. You'll be working with a diverse team that pushes boundaries and develops custom silicon solutions that power Google's TPU infrastructure. This is an excellent opportunity for someone passionate about hardware design and AI/ML technologies to make a significant impact on Google's infrastructure.

The position offers the chance to work on innovative products used by millions worldwide, contributing to Google's cutting-edge AI/ML hardware acceleration capabilities. You'll be part of a team that's proud to be "engineers' engineers" and focuses on building and maintaining the architecture that keeps Google's product portfolio running efficiently.