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Architect · 8+ years exp
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Confirmed on the employer's own hiring board on Nov 11, 2026. First seen by Alion on Oct 12, 2026. Google scores B on the Alion truth index.

Overview
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Google is an American technology company founded in 1998 by Larry Page and Sergey Brin and now the principal subsidiary of Alphabet, headquartered in Mountain View, California. It operates the world's dominant search engine and the advertising system built around it, along with YouTube, Android, Chrome, Gmail, Maps, Workspace and Google Cloud, reaching billions of users across nearly every internet-connected market. The company designs its own silicon in the Tensor Processing Unit line, develops the Gemini foundation models through Google DeepMind, and derives most of its revenue from advertising while cloud has become its fastest growing segment.

About the job

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. 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.

As a Design for Testing (DFT) micro-architect/design engineer, you will support the systems that are the heart of the world's largest and most powerful computing infrastructure. The team develops from the lowest levels of circuit design to large system design and sees those systems all the way through to high-volume manufacturing. Your work has the potential to shape the machinery that goes into our data centers, affecting millions of Google users.

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 worldwide.

We're the driving force behind Google's groundbreaking innovations, empowering the development of our cutting-edge AI models, delivering unparalleled computing power to global services, and providing the essential platforms that enable developers to build the future. From software to hardware our teams are shaping the future of world-leading hyperscale computing, with key teams working on the development of our TPUs, Vertex AI for Google Cloud, Google Global Networking, Data Center operations, systems research, and much more.

Responsibilities

  • Develop DFT strategy and architecture (e.g., hierarchical DFT, DFT for high-speed I/Os, Analog DFT).
  • Develop and drive die-level DFT validation strategy, complete all Test Design Rule Checks (TDRC), and execute design changes to fix TDRC violations to achieve high test quality.
  • Insert DFT logic, boundary scan, scan chains, DFT Compression, Logic BIST, TAP controller, Clock Control block, and other DFT IP blocks.
  • Document DFT architecture, test sequences, and boot-up sequences associated with test pins.
  • Generate and deliver production and debug patterns to the post-silicon engineering team, and run diagnosis for post-silicon support.

Qualifications

Minimum qualifications:

  • Bachelor's degree in Electrical Engineering, a related technical field, or equivalent practical experience.
  • 8 years of experience in the implementation and validation of DFT technologies.
  • Experience with multiple projects in DFT design and verification, DFT specification, definition, architecture, and insertion.
  • Experience with DFT techniques and tools, ASIC DFT synthesis, simulation, and verification flow.
  • Experience in leading DFT activities throughout an ASIC development flow.

Preferred qualifications:

  • Master's degree or PhD in Electrical Engineering, Computer Engineering, or Computer Science, or a related field.
  • Experience in IP integration (e.g., memories, test controllers, Test Access Point (TAP), and DFT for Multi die SoCs).
  • Experience in fault modeling.
  • Experience in SoC cycles, silicon bringup, and silicon debug activities.
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