Design Verification Engineer, Machine Learning, Silicon

Join Google's innovative hardware team developing custom silicon solutions that power the future of Google's direct-to-consumer products. As a Design Verification Engineer focusing on Machine Learning Silicon, you'll be part of a team that combines Google's expertise in AI, Software, and Hardware to create groundbreaking experiences. The role involves working with complex digital design blocks, using advanced verification methodologies, and ensuring the quality of silicon implementations.

You'll be responsible for planning and executing verification strategies for sophisticated digital designs, working closely with design engineers to identify critical verification scenarios. The position requires expertise in SystemVerilog and UVM for creating robust verification environments, as well as strong debugging skills to ensure design correctness.

The ideal candidate should have extensive experience in digital logic verification, particularly with FPGAs and ASICs, and a strong background in electrical engineering or computer science. Knowledge of machine learning applications and image processing is highly valued, as is experience with FPGA prototyping and ASIC performance verification.

This role offers the opportunity to contribute to products used by millions worldwide, working at the intersection of hardware and machine learning. You'll be part of Google's mission to organize the world's information and make it universally accessible, while helping to shape the next generation of hardware experiences that deliver unparalleled performance and efficiency.