Silicon DFT Engineer, PhD, 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 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

• Work with a group of architecture and silicon engineers to develop next-generation DFT/DFX features for large-scale SoCs
• Design and implement software and hardware validation solutions for advanced testing, including logic BIST (LBIST), memory BIST (MBIST), and Scan compression
• Research, develop, and integrate machine learning or semi-analytical models to solve complex DFT challenges
• Triage, debug, and resolve high-priority post-silicon yield and structural failures by driving advanced failure analysis (FA) and volume diagnostics
• Write and review technical specifications for SoC testability and partner with EDA vendors

What you need

• 2–5 yrs of experience
• GCP
• C++
• Python
• Verilog
• Machine learning
• PhD or B.Tech or B.E.