SoC Product Engineer lead, Google Cloud

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 with product engineering, supply chain data analytics, diagnostics for High Volume Manufacturing, or NPI.
  
• Experience with ATE and SLT.
• Experience with Yield Management Systems (e.g., Exensio, YieldExplorer, JMP), or Python for data analytics.

Preferred qualifications:

• Master’s degree in Electrical Engineering, Computer Engineering, Computer Science, or related fields.
• 12 years of experience in product engineering and test engineering.
  

As a SoC Product Engineer, you will design and build the systems that are the heart of the world's largest and most powerful computing infrastructure. You will develop from the lowest levels of circuit design to large system design and see those systems all the way through to high volume manufacturing and mission-mode operation. You will work to support the machinery that goes into our data centers affecting Google users.

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. We're proud to be our engineers' engineers and love voiding warranties by taking things apart so we can rebuild them. We keep our networks up and running, ensuring our users have the best and fastest experience possible.

• Develop and implement strategies for high volume manufacturing of SoC products, including troubleshooting, ATE test coverage optimization, Defective Parts Per Million reduction, power and performance assurance, and product data integration and correlation between system, ATE, and System Level Test (SLT).
• Drive interactions with wafer fabs and Outsourced Assembly and Test, own and drive checkpoints for 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, Packaging, Supplier Management and Operations to build, deploy, and maintain a high volume manufacturing screening solution.