Senior AI/ML Hardware Architect, Google Cloud

About the role

In this role, you’ll work to shape the future of AI/ML hardware acceleration. You will have an opportunity to drive cutting-edge TPU (Tensor Processing Unit) technology that powers Google's most demanding AI/ML applications. You’ll be part of a team that pushes boundaries, developing custom silicon solutions that power the future of Google's TPU.

What you'll do

• Develop architecture specifications that meet current and future computing requirements for AI/ML roadmap
• Develop architectural and microarchitectural power/performance models, microarchitecture and evaluate quantitative and qualitative performance and power analysis
• Own microarchitecture of compute blocks and subsystems and partner with hardware design, software, compiler
• Create high performance hardware/software interfaces and collaborate with software, verification, emulation, physical design
• Identify and drive power, performance and area improvements for the modules owned and develop and contribute to the simulations tools

What you need

• 8–14 yrs of experience
• Machine learning
• GCP
• Hardware
• VLSI
• B.Tech or B.E. or PhD

Good to have

• Python
• Test cases
• C++