Senior ATE Test Engineer, Google Cloud

Google Inc.; Sunnyvale (CA); On-site; USD 163,000 - 236,000; Full time

Job summary

Google Inc. is seeking a skilled engineer to help shape AI/ML hardware acceleration and TPU technology.

You will work on custom silicon solutions powering Google's TPU within demanding AI/ML applications, driving verification of complex digital designs and focusing on TPU architecture integration. You will help build SoCs powering Google data centers, developing comprehensive ATE test solutions for high-volume manufacturing, and ensuring high-quality SoCs through cross-functional collaboration

Qualifications

• Bachelor's degree in CS/EE/CE or related field or equivalent practical experience.
• 5 years of experience in test engineering or product engineering.
• Experience in ASIC or SoC test development, bring-up, or debug.

Responsibilities

• Develop and drive implementation of silicon test requirements with internal design teams and external vendors.
• Contribute to SoC product NPI, bring-up, verification, and qualification support including bench test, troubleshooting, and test coverage optimization.
• Improve test quality through ATE test experience and meet post-silicon testing best practices.
• Collaborate with design, DFT, and quality teams to drive post-silicon testing standards.
• Provide back-stop support for chip production, including test program upgrades and data-driven yield improvements.

Skills

Test engineering

Product engineering

ASIC/SoC test development

Bring-up & debugging

Education

Bachelor's degree in CS/EE/CE or related field

Tools

Advantest EXA scale/UltraFlex+

Teradyne

Job description

corporate_fare Google place Sunnyvale, CA, USA

Mid

Experience driving progress, solving problems, and mentoring more junior team members; deeper expertise and applied knowledge within relevant area.

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• Bachelor's degree in Computer Science, Electrical Engineering, Computer Engineering, a related field, or equivalent practical experience.
  
• 5 years of experience in test engineering or product engineering.
  
• Experience in ASIC or SoC test development, bring-up, or debug.

Preferred qualifications:

• Master's degree in Computer Science, Electrical Engineering, or related technical field, or equivalent practical experience.
• 10 years of experience in test engineering, product engineering, or silicon quality/reliability.
• Experience with scan/ATPG test development or memory BIST test development and repair implementation.
• Experience testing IPs such as Phase-Locked Loops (PLLs), PVT sensors, temperature sensors, Process Monitor Ring Oscillator (PMRO), and eFuse.
• Familiarity with Automatic Test Equipment (ATE) from Advantest and Teradyne (e.g., EXA scale, UltraFlex+).

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 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.

Google’s data centers are some of the most advanced in the world. In this role, you will help build the SoCs that power these data centers by driving development of comprehensive ATE test solutions for high volume manufacturing. You'll create silicon and follow it into the field to close the loop back to design and test for the next generations of chips. You'll help to integrate SoC technologies into devices and drive ATE manufacturing testing to validate performance and screen bad devices. You will work closely with cross-functional teams to ensure the optimal test coverage in production to ensure high quality SoCs.

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 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.

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 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.

Google’s data centers are some of the most advanced in the world. In this role, you will help build the SoCs that power these data centers by driving development of comprehensive ATE test solutions for high volume manufacturing. You'll create silicon and follow it into the field to close the loop back to design and test for the next generations of chips. You will help to integrate SoC technologies into devices and drive ATE manufacturing testing to validate performance and screen bad devices. You will work closely with cross-functional teams to ensure the optimal test coverage in production to ensure high quality SoCs.

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 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: $163000 - $236000 (USD) + 15% bonus target + equity + benefits
Learn more about benefits at Google .

• Develop and drive implementation of silicon test requirements with internal design teams and external vendors.
• Participate in developing and executing strategies for SoC product NPI, bring-up, verification, characterization, and qualification support, including bench test, troubleshooting, test coverage optimization, new product defective parts per million correlation, and product correlation between system and ATE.
• Leverage ATE test experience and expertise to drive quality improvements.
• Collaborate with design, DFT, and quality teams to drive best practices for post-silicon testing.
• Provide back-stop support for chip production, including test program upgrade and release procedures, volume data analytics, test time reduction, yield improvement, and Return Merchandise Authorization (RMA) analysis.

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.