DFT Engineer, Google Cloud

Google LLC
Sunnyvale, CA, United States
6 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Experienced
Experience required
3 years minimum
Compensation
$138,000.0 - $198,000.0
Working hours
Regular working hours
Job source

Tech stack

Computer Engineering Electronic Design Automation Joint Test Action (IEEE Standards) Google Cloud System-level Testing Information Technology

Job description

  • Complete all Test Design Rule Checks (TDRC) and Design changes to fix TDRC violations to achieve high test quality.
  • Insert DFT logic, including scan chains, MBIST, Test Access Port (TAP) controller, Clock Control block, and other DFT IP blocks.
  • Insert and hook up MBIST logic including test collar around memories, MBIST controllers, electronic fuse (eFuse) logic and connect to core and TAP interfaces.
  • Design Verification of DFT logic and test pattern generation.
  • Design and Implement System Level Test strategy.

Requirements

Experience driving progress, solving problems, and mentoring more junior team members; deeper expertise and applied knowledge within relevant area., * Bachelor’s degree in Electrical Engineering, Computer Engineering, Computer Science, a related field, or equivalent practical experience.

  • 3 years of experience in DFT architecture, implementation, Automatic Test Pattern Generation (ATPG), and verification for SoCs.
  • Experience with industry-standard test methodologies and platforms, such as ATE, MBIST, JTAG, or System Level Test (SLT)., * Master’s degree or PhD in Electrical Engineering, Computer Engineering, Computer Science, or a related field.
  • Experience in DFT flow, including architecture, IP integration (Test controllers, TAP, MBIST), and interaction with synthesis and verification flows.
  • Experience with industry-leading EDA tools for DFT, such as Synopsys (e.g., Design Compiler, DFT Max) or Siemens EDA (e.g., Tessent, TestKompress).
  • Experience with silicon process and technology nodes for high speed and low power consumption.
  • Experience with various fault models (e.g., Stuck-at, Transition, Cell-Aware, Path Delay, etc.).

About the company

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 DFT Engineer, you will be responsible for defining, implementing and deploying advanced design-for-test (DFT) methodologies including Scan, Memory Built-In Self-Test (MBIST), Joint Test Action Group (JTAG) and iJTAG, for highly complex digital or mixed-signal chips or IPs. You will define DFT architecture, and create DFT flows for complex next generation SoCs in partnership with the Design and Physical Design teams. You will also be responsible for design verification of test logic, test pattern generation and debugging and test coverage issues.

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 team 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.

Individual pay is determined by factors including job-related skills, experience, and relevant education or training.

US: $138000 - $198000 (USD) + 15% bonus target + equity + benefits, Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See alsoGoogle’s EEO Policy (https://www.google.com/about/careers/applications/eeo/) ,Know your rights: workplace discrimination is illegal (https://careers.google.com/jobs/dist/legal/EEOC_KnowYourRights_10_20.pdf) ,Belonging at Google (https://about.google/belonging/) , andHow we hire (https://careers.google.com/how-we-hire/) .

If you have a need that requires accommodation, please let us know by completing ourAccommodations for Applicants form (https://goo.gl/forms/aBt6Pu71i1kzpLHe2) .

Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting.

To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees, or any other organization location. Google is not responsible for any fees related to unsolicited resumes.

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