Silicon Product Test Engineer, Google Cloud

Google•Sunnyvale, CA

About The Position

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. As a Silicon Product Test Engineer, you will be responsible for defining, implementing, and using the software, hardware, and analytics systems necessary to characterize and diagnose manufacturing test yield loss and in-field quality escapes for highly complex ASIC’s and SoC’s. You will support silicon test strategy definition, and participate in creating design-for-test (DFT) and design-for-debug (DFD) specifications for complex SoCs in advanced technologies. As a member of the Silicon Engineering team, you are directly responsible for planning, data analysis, diagnosing memory and logic scan test failures, increasing production quality, and enhancing yield. 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 team 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.

Requirements

Bachelor's degree in Electrical Engineering, Mechanical Engineering, Computer Engineering or Computer Science, with an emphasis on computer architecture.
4 years of experience in product engineering, yield engineering, or test engineering.
Experience with integrated circuit (IC) manufacturing (e.g., wafer processing, semiconductor packaging, or silicon testing).
Experience with test coverage, Automatic Test Equipment (ATE), or Defective Parts per Million (DPPM) reduction.
Experience in yield improvement and RMA.

Nice To Haves

Master's degree or PhD in Electrical Engineering, Mechanical Engineering, Computer Engineering or Computer Science, with an emphasis on computer architecture.
Experience with test industry standards, and DFT best practices, including Automatic Test Pattern Generation (ATPG) Stuck-At Fault/Transition Delay Fault (SAF/TDF), High Bandwidth Memory (HBM), Memory Built-In Self-Test (MBIST) or repair, diagnostic tools, yield improvement.
Experience working with wafers fabs or advanced packaging for yield engineering.
Experience delivering HVM screening solutions for high performance computing chips in advanced technology nodes with low DPPM.
Experience with statistical analysis (e.g., JMP) and yield management systems (e.g., Exensio, YieldExplorer).

Responsibilities

Develop and execute strategies for ASIC/SoC new product introduction, planning, bring-up, verification, characterization, and qualification support.
Drive interactions with suppliers, wafer fabs and OSATs, own and drive checkpoints for key quality metrics.
Audit screening programs before releasing to production.
Setup and maintain test, diagnosis, and yield analysis infrastructure, including Return Material Authorization (RMA) support.
Collaborate with cross-functional teams across the globe including ATE test engineering, system level test, packaging, supply chain, and operations to ensure high production yield and high quality in-field operation.