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Job Description

  • Develop DFT strategy and architecture (e.g., hierarchical DFT, DFT for high speed iOS, Analog DFT).
  • Develop and drive die level DFT validation strategy and complete all Test Design Rule Checks (TDRC) and 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 the production and debug patterns to Post Silicon Engineering team and run diagnosis for post silicon supports.

Minimum qualifications:

  • Bachelor's degree in Electrical Engineering, or a related 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.

Preferred qualifications:

  • Master's degree or PhD in Electrical Engineering, Computer Engineering or Computer Science, or a related field.
  • Experience in fault modeling.
  • Experience in IP integration (e.g., memories, test controllers, Test Access Point (TAP), and DFT for multi die SoCs).
  • Experience in SoC cycles, silicon bringup, and silicon debug activities.
  • Bachelor's degree in Electrical Engineering, or a related 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.
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  • Role Senior DFT Design Engineer, Google Cloud
  • Experience 5-7 years
  • Education Bachelor Degree, or equivalent experience
  • Work type On-site
  • Location India
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Google
AI Research Lab · 500+ Members · Mountain View, CA, United States

Google builds internet, software, cloud, and AI products used by consumers, developers, and organizations. Its portfolio includes Search, YouTube, Android, Chrome, Maps, Gmail, Workspace, Google Cloud, advertising platforms, devices, and Gemini AI products. The company develops large-scale computing infrastructure and research that power information retrieval, communication, productivity, media, navigation, and machine learning. Google is the largest operating business within Alphabet and earns a substantial share of its revenue from digital advertising.

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Job Overview
Eligibility
India Right to work in India required.
Workplace
On-site
Job Posted:
1 day ago
Job Type
Full Time
Education
Bachelor Degree, or equivalent experience
Experience
5-7 years

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