Be part of a team that pushes boundaries, developing custom silicon solutions that power the future of Google's direct-to-consumer products. You'll contribute to the innovation behind products loved by millions worldwide. Your expertise will shape the next generation of hardware experiences, delivering unparalleled performance, efficiency, and integration.
In this role, you’ll work to shape the future of an edge-AI product, bringing high-performance intelligence to the edge. You will have an opportunity to drive cutting-edge distributed inference technology that powers real-time systems where latency and reliability are mission-critical.
You’ll be part of a team that pushes boundaries, developing robust, autonomous solutions that define the next generation of intelligent infrastructure and hardware for the edge. You'll contribute to the innovation behind products that transform industries, leveraging your expertise in system-level integration and localized processing to deploy complex AI models across sophisticated hardware platforms, ensuring intelligence is embedded exactly where the action happens.
Google's mission is to organize the world's information and make it universally accessible and useful. Our team combines the best of Google AI, Software, and Hardware to create radically helpful experiences. We research, design, and develop new technologies and hardware to make computing faster, seamless, and more powerful. We aim to make people's lives better through technology.
Minimum qualifications:
- Bachelor's degree in Electrical Engineering or a related field, or equivalent practical experience.
- 10 years of experience working with hardware verification languages (e.g., System Verilog/Specman), design verification methodologies (e.g., UVM) and chip design flow.
- Experience in leading chip verification teams through the full lifecycle from concept to delivery.
- Experience in creating chip or subsystem design verification strategies and plans.
Preferred qualifications:
- 15 years of experience in verification of complex SoC/ASIC.
- 10 years of experience managing verification teams.
- Experience in chip design/verification of high performance AI/ML accelerators.
- Experience in low power verification.
- Experience with industry verification techniques, including complementary techniques such as formal verification, and emulation.