Senior SoC Product Engineer, Google Cloud

About the job

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, DPPM reduction, test cost reduction, power and performance assurance, and product data integration and correlation between system, ATE, and SLT.
• Drive interactions with wafer fab and 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 RMA handling.
• Support setup and maintenance of test, diagnosis, and yield analysis infrastructure, including Return Merchandise Authorization (RMA) support.
• Collaborate with cross functional teams across the globe including ATE and SLT Test Engineering, Quality and Reliability (Q&R), Packaging, Supplier Management and Operations to build, deploy, and maintain a high volume manufacturing screening solution.

Qualifications

Minimum qualifications:

• Bachelor’s degree in Electrical Engineering, Computer Engineering, Computer Science, a related field, or equivalent practical experience.

• 8 years of experience in product engineering or test engineering.
• Experience developing on Advantest 93K or Teradyne UltraFlex ATE platforms.
• Experience with product engineering, supply chain data analytics, or diagnostics for High Volume Manufacturing (HVM) or NPI.

Preferred qualifications:

• Experience with industry standards, design tools, and DFT best practices, including at-speed TDF, ATPG, MBIST, memory repair, diagnostic tools, and yield improvement.
• Experience evaluating customer returns with ATE and SLT, identifying coverage gaps, developing incremental structural and functional patterns to address quality issues.
• Experience delivering HVM screening solutions for high performance computing chips in advanced technology nodes with low Defective Parts Per Million (DPPM).
• Knowledge of statistical analysis (e.g. JMP), Yield Management Systems (e.g. Exensio, YieldExplorer, JMP), or Python for data analytics.