Silicon DFT Engineer, PhD, Google Cloud

Minimum qualifications:

• PhD degree in Electronics and Communication Engineering, Electrical Engineering, Computer Engineering or related technical field, or equivalent practical experience.
• Experience in programming languages (e.g., C++, Python, Verilog), Synopsys, Cadence tools.

Preferred qualifications:

• 2 years of experience in Silicon Engineering post PhD.
• Experience with Electronic Design Automation (EDA) tools in design, verification, DFT and implementation.
• Design for Test (DFT) knowledge (Boundary Scan, ATPG, MBIST).

About the job

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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. You'll contribute to the innovation behind products loved by millions worldwide, and leverage your design and verification expertise to verify complex digital designs, with a specific focus on TPU architecture and its integration within AI/ML-driven systems.

The AI and Infrastructure team is redefining what’s possible. We empower Google customers with breakthrough capabilities and insights by delivering AI and Infrastructure at unparalleled scale, efficiency, reliability and velocity. Our customers include Googlers, Google Cloud customers, and billions of Google users…

Skills

• GCP
• Machine Learning
• Python