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.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 behind Google's groundbreaking innovations, empowering the development of 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.
Minimum qualifications:
- Bachelor's degree in Engineering, Computer Science, a related field, or equivalent practical experience.
- 10 years of experience in test engineering.
- Experience in pre-silicon validation, test content generation, automatic test equipment (ATE) program development, and post-silicon enabling from new product introduction (NPI) through high-volume manufacturing.
- Experience with ASIC test methodologies (MBIST, ATPG, DFT, SerDes, and 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 with CPU/GPU SoC architecture, design, validation and debug.
- Experience in advanced testing methodologies and data analysis, including system to tester correlation, yield and test time analysis and improvement, etc.
- 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.