Minimum qualifications Bachelor s degree in Electrical Engineering Computer Engineering Computer Science or a related field or equivalent practical experience 8 years of experience in Design Verification DV Experience in developing and deploying state of the art verification methodologies Experience in any one of the hardware description languages HDL e g Verilog SystemVerilog Experience with Python for scripting automation and data analysis in a verification context Preferred qualifications Master s degree or PhD in Electrical Engineering Computer Engineering or Computer Science with an emphasis on computer architecture Experience with AI ML frameworks and tools such as TensorFlow PyTorch or ONNX particularly in how they relate to hardware implementation and verification Understanding of modern verification methodologies e g UVM Specman Formal Verification Understanding of AI ML fundamentals including various neural network architectures CNNs RNNs Transformers ML algorithms and concepts like training inference quantization and activation functions Excellent programming skills in Python About the job 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 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 Responsibilities Integrate Machine Learning ML techniques into existing verification flows to improve efficiency coverage and debug capabilities This could involve using ML for intelligent test case generation bug prediction or coverage analysis Research evaluate and deploy recent commercial and open-source verification tools with a particular focus on those that support or enhance the verification of AI ML designs Work closely with AI ML algorithm developers and architects to understand model behavior data dependencies and potential verification challenges ensure effective integration into the verification environment Identify opportunities to automate aspects of AI ML verification reduce manual effort and accelerate verification cycles Google is proud to be an equal opportunity workplace and is an affirmative action employer We are committed to equal employment opportunity regardless of race color ancestry religion sex national origin sexual orientation age citizenship marital status disability gender identity or Veteran status We also consider qualified applicants regardless of criminal histories consistent with legal requirements See also Google s EEO Policy and EEO is the Law If you have a disability or special need that requires accommodation please let us know by completing our Accommodations for Applicants form