ATE Test Infrastructure Engineer, TPU Cloud

Google LLC

Sunnyvale (CA)

On-site

USD 138,000 - 197,000

Full time

4 days ago
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Job summary

Google LLC is seeking a test engineer to shape the future of AI/ML hardware acceleration, focusing on TPU architecture verification and integration within AI/ML-driven systems. You will contribute to cutting-edge silicon solutions powering TPU technology used by millions of users worldwide.

The role emphasizes post-silicon NPI and high-volume manufacturing test strategies for next-generation TPU and HPC products, with development and validation of advanced Automated Test Equipment programs and

Qualifications

  • Bachelor's degree in Electrical Engineering, Computer Engineering, Computer Science, or related field (or equivalent practical experience).
  • 4 years of experience in test engineering.
  • Experience scripting in Python or Java.
  • Experience with ATE test platforms (Advantest 93K and Teradyne UltraFlex SOC).

Responsibilities

  • Collaborate with Architecture, Design, and Verification teams to develop new product bring-up, validation, characterization, and qualification strategies, and manufacturing test solutions for HPC products.
  • Verify test solutions on pre-silicon models and develop ATE test modules, DC tests, binning, production, and characterization flows.
  • Develop and validate test programs on ATE platforms for new product integration in preparation for high-volume manufacturing, working with ATE vendors and internal cross-functional teams.
  • Create tools, flows, and methodologies to improve and automate the testing life-cycle.
  • Influence and work with upstream and downstream partners to enable automated test solutions.

Skills

Python
Java
Test engineering
ATE platforms
C/C++
C#

Education

Bachelor's degree in Electrical Engineering / Computer Engineering / Computer Science
Master's degree preferred

Tools

Advantest 93K
Teradyne UltraFlex

Job description

corporate_fare Google place Sunnyvale, CA, USA

X In most instances, this position requires in-person interviews as part of the hiring process.

  • Bachelor's degree in Electrical Engineering, Computer Engineering, Computer Science, or a related field, or equivalent practical experience.
  • 4 years of experience in test engineering.
  • Experience scripting in Python or Java.
  • Experience with ATE test platforms such as the Advantest 93K and Teradyne UltraFlex SOC test systems.
Preferred qualifications:
  • Master's degree or PhD in Electrical Engineering, Computer Engineering or Computer Science, with an emphasis on computer architecture.
  • Experience in pre-silicon validation, test content generation, ATE program development, and post-silicon enabling from New Product Introduction through High Volume Manufacturing.
  • Experience in creating end-to-end manufacturing test strategies for PCBA and systems that cover structural through functional and system tests.
  • Experience in C# or C/C++ is preferred.
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.

In this role, you will drive the post-silicon New Product Introduction (NPI) and high-volume manufacturing test strategies for Google's next-generation TPU and High-Performance Computing (HPC) products. You will develop and validate advanced Automated Test Equipment (ATE) programs, create pre-silicon test solutions, and build automated tools to optimize the entire silicon testing life-cycle.

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 behind Google's groundbreaking innovations, empowering the development of 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.

US: $138000 - $197000 (USD) + 15% bonus target + equity + benefits

Learn more about benefits at Google .

  • Collaborate with Architecture, Design, and Verification teams to develop new product bring-up, validation, characterization, and qualification strategies, as well as manufacturing test solutions for new High Performance Computing (HPC) products in advanced process technologies.
  • Verify test solutions on pre-silicon models (simulation or emulation) and develop ATE test modules, DC tests, binning, production, and characterization flows.
  • Develop and validate test programs on Automated Test Equipment (ATE) platforms for new product integration (NPI) in preparation for high-volume manufacturing (HVM), working with ATE vendors and internal cross-functional teams.
  • Create tools, flows, and methodologies to continuously improve and automate the testing life-cycle.
  • Influence and work with upstream and downstream partners to enable automated solutions to test problems.

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 also Google's EEO Policy , Know your rights: workplace discrimination is illegal , Belonging at Google , and How we hire .

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.

Equity is granted exclusively and discretionarily by Alphabet Inc. on the basis of an agreement concluded between you and Alphabet Inc. Alphabet Inc. is your sole contractual partner with respect to equity grants. GSU grants are not guaranteed, are discretionary, are subject to approval by the Alphabet Inc. board of directors or its delegate, the terms of the relevant Alphabet Inc. stock plan, and your grant agreement. They have no impact on statutory payments. Current or past grants do not confer an acquired right.

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