
Silicon DFT Engineer, PhD, Google Cloud
Google · Posted Oct 5
Search engine, cloud computing, software, hardware, and artificial intelligence services
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About the role
The AI and Infrastructure team at Google delivers AI and infrastructure at hyperscale, spanning TPU development, Vertex AI for Google Cloud, Google Global Networking, and data center operations. This role sits with the custom silicon team working on DFT/DFX features for large-scale SoCs that power Google's AI/ML hardware acceleration. The engineer will design and validate test solutions such as LBIST, MBIST, and scan compression, apply machine learning or semi-analytical models to DFT problems, and debug post-silicon yield and structural failures.
What you will 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.
Skills used in this role
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).
Benefits and support
- Compensation and benefits are detailed in the job posting
About Google
Google LLC is an American multinational technology company focusing on artificial intelligence, online advertising, search engine technology, cloud computing, computer software, quantum computing, e-commerce, and consumer electronics. As a subsidiary of Alphabet Inc., it is widely recognized for services like Google Search, YouTube, Android, and the Gemini AI ecosystem.
- Industry
- Internet
- Company size
- 180000+ employees
- Founded
- 1998-09-04
- Location
- Mountain View, California, USA
- Funding stage
- Public Company
Funding
Public Company · $25M raised
- 1999-06-07Series A$25M
Leadership
Chief Executive Officer
Senior Vice President and Chief Financial Officer
Senior Vice President and Chief Business Officer
Chief Executive Officer, Google Cloud
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