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 test or product engineering, with experience in infrastructure and automation and people management experience.
• Experience in pre-silicon validation, test content generation, ATE program development, big data handling and post-silicon enabling from New Product Introduction through high-volume manufacturing.
• Experience with ASIC test methodologies (mbist, atpg, dft serdes, sensors).
• Experience with Python, Java, C# or C/C++ and Advantest or Teradyne ATE platforms.

Preferred qualifications:

• Master’s in Electrical Engineering, Computer Engineering, Computer Science, or a related field.
• 10 years of experience in test engineering, including product engineering.
• Experience in ATE hardware design and proliferation: loadboards/probecards, handler kits, sockets, and thermal control solutions.
• Experience with CPU/GPU SoC architecture, design, validation and debug.
• Demonstrated expertise in developing automations for pre-silicon verification and post-silicon test-generation/test-program domains.
• Inquisitive and motivated to venture into, and improve, all aspects of post-silicon testing from definition to realization.

About the job

Google’s data centers are the most advanced in the world. In this role, you will help to manufacture the SoC’s that power these data centers by developing and deploying comprehensive manufacturing test and data analytics solutions for high-volume manufacturing at wafer fabrications and Outsourced Semiconductor Assembly and Test (OSAT’s). You will have an opportunity to create silicon in the most advanced technologies and follow it into the field to close the loop back to design and test for the next-generation of chips.

You will help to integrate SoC technologies into devices and drive manufacturing test flows to assure performance and screen devices, drive yield improvement, cost optimization and work closely with cross-functional teams to ensure the optimal test coverage in production to ensure high quality SoCs

You will have a strong understanding of IC flows, wafer processing, testing, qualification, diagnostics and failure analysis. You will work with various groups to deploy screening methodologies and flows for data processing, analytics and diagnostics. You will drive the release of cost effective production test solutions into mass production to hit yield and quality goals.

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

• Provide tools, set the environment and create automation to silicon engineering (SiEng) teams, collaborate with Test, Product, quality and reliability (Q&R) and system-level test (SLT) teams.
• Create smooth and effective ways to manage silicon engineering (SiEng) datastream to and from suppliers and internally at Google, between different platforms, while optimizing formats and datalogs, convert per need.
• Verify test solutions on pre-silicon models (simulation or emulation) and support Automated Test Equipment (ATE) test development setup and environment.
• Develop test method for ATE platforms.
• Provide pre and post silicon dashboards and indicators that will reflect the status, demonstrate progress and point on the gaps.