Design Verification Engineer

As an Electrical Engineer with 4 years of experience in Verification, you will play a crucial role in shaping the future of AI/ML hardware acceleration. Your responsibilities will include driving cutting-edge TPU (Tensor Processing Unit) technology for Google's demanding AI/ML applications. You will be part of a dynamic team that focuses on developing custom silicon solutions to power Google's TPU, contributing to innovative products loved by millions worldwide. Your key responsibilities will involve: - Planning the verification of digital design blocks and collaborating with design engineers to identify critical verification scenarios. - Identifying and implementing various coverage measures for stimulus and corner-cases to ensure thorough verification. - Debugging tests with design engineers to ensure the delivery of functionally correct design blocks. - Creating a constrained-random verification environment using SystemVerilog and Universal Verification Methodology (UVM). Preferred qualifications for this role include a Master's degree in Electrical Engineering or a related field, experience with industry-standard simulators and regression systems, as well as familiarity with AI/ML Accelerators or vector processing units. Excellent problem-solving and communication skills will be essential for success in this role. About the company: The ML, Systems, and Cloud AI (MSCA) organization at Google focuses on designing, implementing, and managing hardware, software, machine learning, and systems infrastructure for all Google services and Google Cloud. With a commitment to security, efficiency, and reliability, the organization drives innovation in hyperscale computing, including Google Cloud's Vertex AI platform. In this role, you will have the opportunity to own the full verification life-cycle, from planning and test execution to coverage closure, with a specific emphasis on meeting stringent AI/ML performance and accuracy goals. By collaborating closely with design and verification engineers, you will contribute to verifying complex digital designs, particularly focusing on TPU architecture integration within AI/ML-driven systems.,