Senior Silicon Design Verification Engineer, Cloud Silicon

As a Verification Engineer at Google, you will be responsible for owning the full verification life-cycle of digital design blocks, focusing on meeting AI/ML performance and accuracy goals. Your expertise will contribute to building constrained-random verification environments to ensure the reliability of AI/ML workloads on Tensor Processing Unit (TPU) hardware. Collaboration with design and verification engineers will be key to performing verification effectively. Key Responsibilities: - Plan the verification of digital design blocks and collaborate with design engineers to identify critical verification scenarios. - Identify and implement various coverage measures for stimulus and corner-cases. - Debug tests in conjunction with design engineers to ensure the delivery of functionally correct design blocks. - Measure and track verification progress towards tape-out, identifying verification gaps. - Develop a constrained-random verification environment utilizing SystemVerilog and Universal Verification Methodology (UVM). Qualifications Required: - Bachelor's degree in Electrical Engineering, Computer Engineering, Computer Science, or a related field, or equivalent practical experience. - 8 years of experience in verifying digital logic at RTL level using SystemVerilog or Specman/E for FPGAs or ASICs. - Experience in verification and debug of IP/subsystem/SoCs in the networking domain. - Experience verifying digital systems using standard IP components/interconnects. - Master's degree or PhD in Electrical Engineering, Computer Engineering, or Computer Science preferred. - Experience with industry-standard simulators, revision control systems, and regression systems. - Experience in AI/ML accelerators or vector processing units. - Excellent problem-solving and communication skills. About the Company: Google's AI and Infrastructure team is at the forefront of redefining possibilities, delivering breakthrough capabilities and insights to customers worldwide. The team empowers Google customers with AI and Infrastructure solutions at unparalleled scale, efficiency, reliability, and velocity. Google is committed to equal employment opportunity and diversity in the workplace, fostering an inclusive environment for all employees. As a Verification Engineer at Google, you will be responsible for owning the full verification life-cycle of digital design blocks, focusing on meeting AI/ML performance and accuracy goals. Your expertise will contribute to building constrained-random verification environments to ensure the reliability of AI/ML workloads on Tensor Processing Unit (TPU) hardware. Collaboration with design and verification engineers will be key to performing verification effectively. Key Responsibilities: - Plan the verification of digital design blocks and collaborate with design engineers to identify critical verification scenarios. - Identify and implement various coverage measures for stimulus and corner-cases. - Debug tests in conjunction with design engineers to ensure the delivery of functionally correct design blocks. - Measure and track verification progress towards tape-out, identifying verification gaps. - Develop a constrained-random verification environment utilizing SystemVerilog and Universal Verification Methodology (UVM). Qualifications Required: - Bachelor's degree in Electrical Engineering, Computer Engineering, Computer Science, or a related field, or equivalent practical experience. - 8 years of experience in verifying digital logic at RTL level using SystemVerilog or Specman/E for FPGAs or ASICs. - Experience in verification and debug of IP/subsystem/SoCs in the networking domain. - Experience verifying digital systems using standard IP components/interconnects. - Master's degree or PhD in Electrical Engineering, Computer Engineering, or Computer Science preferred. - Experience with industry-standard simulators, revision control systems, and regression systems. - Experience in AI/ML accelerators or vector processing units. - Excellent problem-solving and communication skills. About the Company: Google's AI and Infrastructure team is at the forefront of redefining possibilities, delivering breakthrough capabilities and insights to customers worldwide. The team empowers Google customers with AI and Infrastructure solutions at unparalleled scale, efficiency, reliability, and velocity. Google is committed to equal employment opportunity and diversity in the workplace, fostering an inclusive environment for all employees.