Google is seeking a Silicon Design Verification Engineer for their TPU (Tensor Processing Unit) team within Google Cloud. This role is crucial in shaping the future of AI/ML hardware acceleration, working on cutting-edge TPU technology that powers Google's most demanding AI/ML applications. The position involves being part of a diverse team developing custom silicon solutions for Google's TPU.
The role encompasses the full verification life cycle, from planning to coverage closure, with a focus on meeting AI/ML performance targets. You'll build robust, constrained-random verification environments to ensure reliability of AI/ML workloads on TPU hardware. The position requires collaboration with design and verification engineers on active projects.
As part of the Technical Infrastructure team, you'll contribute to the architecture that keeps Google's services running. The team is responsible for developing and maintaining data centers and building next-generation Google platforms. The role combines technical expertise in hardware verification with the opportunity to impact Google's AI/ML infrastructure.
The ideal candidate should have strong experience in verification methodology, particularly UVM, and expertise in SystemVerilog and SVA. Knowledge of AI/ML Accelerators or vector processing units is highly valued. The position offers the opportunity to work on innovative technology that powers products used by millions worldwide.
Google offers an inclusive work environment and is committed to equal opportunity employment, welcoming candidates from all backgrounds. The role requires English proficiency to facilitate global collaboration.