Staff ATE Test Engineer

Google LLC; Sunnyvale (CA); On-site; USD 192,000 - 278,000; Full time

Job summary

Google LLC is seeking a Staff/Senior Engineer to shape the future of AI/ML hardware acceleration, driving TPU technology and custom silicon solutions powering AI workloads. You will verify complex digital designs with a focus on TPU integration in AI/ML-driven systems, influencing test coverage and quality standards across teams.

You will define the strategy for comprehensive ATE test solutions in high-volume manufacturing, own end-to-end silicon test life-cycle, and partner with design/DFT

Qualifications

• Bachelor's degree or equivalent practical experience in EE/CE/CS.
• 10+ years in test engineering, product engineering, or silicon quality/reliability.
• Experience in ASIC/SoC test development, bring-up or debug.

Responsibilities

• Define and drive silicon test strategies and end-to-end ATE solutions for high-volume manufacturing.
• Lead cross-functional efforts to integrate SoC testables and ensure design-for-testability.
• Mentor teams to improve test coverage, yields, and defect analysis.

Skills

Test engineering

SoC/ASIC testing

Leadership & cross-functional

Education

Bachelor's degree in EE/CE/CS

Tools

Advantest/ Teradyne ATE

Probe cards design

Load boards

IP testing (PLL, PMRO, eFuse)

PCIe / DDR memory testing

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.
• 10 years of experience in test engineering, product engineering or silicon quality/reliability.
• Experience in ASIC or SoC test development, bring-up or debug.

Preferred qualifications:

• Master's degree or PhD in Electrical Engineering, Computer Engineering or Computer Science, with an emphasis on computer architecture.
• 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.
• Experience with ATE probe card design and load board design.
• Experience with UCIE, HBM, PCIE, DDR.
• Extensive experience 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 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.

Google’s data centers are some of the most advanced in the world. In this role, you will serve as a technical leader to build the SoCs that power these data centers by defining the strategy and architecture for comprehensive Automatic Test Equipment (ATE) test solutions in high-volume manufacturing. You will own the end-to-end silicon test life-cycle, establishing methodologies that close the loop between field performance, design, and testing for future generations of chips. You will lead cross-functional initiatives to integrate advanced SoC technologies into devices and architect robust ATE manufacturing tests that ensure optimal performance and yield. As a Staff Engineer, you will set the technical direction for test coverage and quality standards across the organization.

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.

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 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.

Google’s data centers are some of the most advanced in the world. In this role, you will serve as a technical leader to build the SoCs that power these data centers by defining the strategy and architecture for comprehensive Automatic Test Equipment (ATE) test solutions in high-volume manufacturing. You will own the end-to-end silicon test life-cycle, establishing methodologies that close the loop between field performance, design, and testing for future generations of chips. You will lead cross-functional initiatives to integrate advanced SoC technologies into devices and architect robust ATE manufacturing tests that ensure optimal performance and yield. As a Staff Engineer, you will set the technical direction for test coverage and quality standards across the organization.

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.

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

US: $192000 - $278000 (USD) + 20% bonus target + equity + benefits

Learn more about benefits at Google .

• Lead the development and architectural definition of silicon test requirements, driving strategic alignment across design teams, DFT engineers, and external vendors.
• Define and direct broad strategies for SoC product NPI, bring-up, verification, characterization, and qualification, resolving complex issues across bench testing, test-coverage optimization, and system-to-ATE correlation.
• Act as a domain expert in ATE testing, leveraging deep industry experience to establish technical standards, architect scalable test solutions, and mentor engineering teams to drive systemic quality improvements.
• Influence and partner strategically with design, DFT, and quality teams to shape next-generation chip architectures, ensuring proactive "design-for-testability" and establishing industry-leading best practices for post-silicon testing.
• Oversee and optimize the chip production life-cycle, driving continuous improvement initiatives for test program architecture, advanced volume data analytics, test time reduction, yield optimization, and complex Return Merchandise Authorization (RMA) failure 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.