SoC Test Engineer Lead, Google Cloud
- linkCopy link
- emailEmail a friend
Minimum qualifications:
- Bachelor's degree in Electrical Engineering, Computer Engineering, Computer Science, or a related field, or equivalent practical experience.
- 10 years of experience in product engineering or test engineering.
- 3 years of experience in people management, developing employees.
- Experience with product engineering, supply chain data analytics or diagnostics for manufacturing or New Product Introduction (NPI).
Preferred qualifications:
- Experience with industry standards, design tools, and DFT best practices, including at-speed TDF, ATPG, MBIST, Memory Repair, diagnostic tools, yield improvement.
- Experience with product engineering, supply chain data analytics and diagnostics for High Volume Manufacturing and NPI.
- Experience evaluating customer returns with ATE and SLT, identifying coverage gaps, developing incremental structural and functional patterns to address quality issues, Statistical analysis (e.g., JMP), Yield Management Systems (e.g., Exensio, YieldExplorer, JMP), and Python for data analytics.
- Understanding of skew lot definition, data collection, characterization, data analysis and report.
About the job
Do you want to be part of Google’s next generation of data centers? Behind everything our users see online is the architecture built by the Technical Infrastructure team to keep it running. From developing and maintaining our data centers to building the next generation of Google platforms, we make Google's product portfolio possible. As part of our server chip design team, you will use your ASIC design experience to be part of a team that creates the SoC VLSI design cycle from start to finish. You will collaborate closely with design and verification engineers in active projects, creating architecture definitions with RTL coding, and running block level simulations.
In this role, you will contribute in all phases of complex application-specific integrated circuit (ASIC) designs from design specification to production. You will collaborate with members of architecture, software, verification, power, timing, synthesis and etc. to specify and deliver high quality SoC/RTL. You will solve technical problems with innovative micro-architecture and practical logic solutions, and evaluate design options with complexity, performance, power and area in mind.
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.
Responsibilities
- Develop and implement strategies for high volume manufacturing of SoC products, including troubleshooting, ATE test coverage optimization, Defective Parts Per Million (DPPM) reduction, test cost reduction, power and performance assurance, and product data integration and correlation between system, ATE, and SLT.
- Drive interactions with wafer fabs and Outsourced Semiconductor Assembly and Tests (OSATs), own and drive checkpoints for key quality metrics.
- Drive volume ramp and mass production through test program releases, volume data analytics, lot disposition, extended test time reduction, yield improvement, and Return Merchandise Authorization (RMA) handling.
- Support setup and maintenance of test, diagnosis, and yield analysis infrastructure, including RMA support.
- Collaborate with cross-functional teams across the globe including ATE and SLT Test Engineering, Quality and Reliability, Packaging, Supplier Management and Operations to build, deploy, and maintain a high volume manufacturing screening solution.
Information collected and processed as part of your Google Careers profile, and any job applications you choose to submit is subject to Google's Applicant and Candidate Privacy Policy.
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.
If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form.
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.