About the job
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 an SoC Test Infrastructure Engineer, you will drive the post-silicon New Product Introduction (NPI) and high-volume manufacturing test strategies for Google's next-generation TPU and High-Performance Computing (HPC) products. In this role, you will develop and validate advanced Automated Test Equipment (ATE) programs, create pre-silicon test solutions, and build automated tools to optimize the entire silicon testing lifecycle.
Responsibilities
Collaborate with Architecture, Design, and Verification teams to develop new product bring-up, validation, characterization, and qualification strategies, as well as manufacturing test solutions for new High Performance Computing (HPC) products in advanced process technologies.
Verify test solutions on pre-silicon models (simulation or emulation) and develop ATE test modules, DC tests, binning, production, and characterization flows.
Develop and validate test programs on Automated Test Equipment (ATE) platforms for new product integration (NPI) in preparation for high-volume manufacturing (HVM), working with ATE vendors and internal cross-functional teams.
Develop tools, flows, and methodologies to continuously improve and automate the testing life cycle.
Influence and work with upstream and downstream partners to enable automated solutions to test problems.
Qualifications
Minimum
Bachelor's degree in Electrical Engineering, Computer Engineering, Computer Science, or a related field, or equivalent practical experience.
4 years of experience in test engineering.
Experience in Python, Java, C# or C/C++
Experience with Advantest or Teradyne platforms.
Preferred
Master's degree or PhD in Electrical Engineering, Computer Engineering or Computer Science, with an emphasis on computer architecture.
Experience in pre-silicon validation, test content generation, ATE program development, and post-silicon enabling from New Product Introduction through High Volume Manufacturing.
Experience in creating end-to-end manufacturing test strategies for PCBA and systems that cover structural through functional and system tests.