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Minimum qualifications:

+ Bachelor's degree in Electrical Engineering, Computer Engineering, Computer Science, or a related field, or equivalent practical experience.

+ 3 years of Experience with verification flow infrastructure or CAD.

+ Experience with Python or Perl scripting languages.

Preferred qualifications:

+ Master's degree or PhD in Electrical Engineering, Computer Engineering or Computer Science, with an emphasis on computer architecture.

+ Experience with simulation tools such as Cadence IES/Xcelium, Synopsys VCS, or Mentor Questa.

+ Experience with simulation regression and compute farm management flows/tools.

+ Experience with revision control systems and automation server tools such as Jenkins.

+ Experience with databases such as SQL or Oracle and interfacing with both CAD and IT teams.

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.

The US base salary range for this full-time position is $132,000-$189,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.

Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google (https://careers.google.com/benefits/) .

+ Develop and deploy tools and infrastructure to increase productivity of the Verification team.

+ Develop and manage large-scale regression flows for simulation, emulation, field-programmable gate array (FPGA) platforms, including automated test generation.

+ Assist in development and use of databases for various key information of verification metrics including fail signatures, pass/fail rates, simulator performance, etc.

+ Evaluate, benchmark, and integrate Electronic Design Automation (EDA) tools into our verification flows.

+ Show continuous improvement to our verification flows.

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 https://careers.google.com/eeo/ and https://careers.google.com/jobs/dist/legal/OFCCP_EEO_Post.pdf If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form: https://goo.gl/forms/aBt6Pu71i1kzpLHe2.