Minimum qualifications:
- Bachelor's degree in Electrical Engineering, Computer Engineering, Computer Science, or a related field, or equivalent practical experience.
- 5 years of experience with verification flow infrastructure or CAD.
- Experience with Python or Perl scripting languages.
- 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 major vendor EDA tools/flows as well as emulation/FPGA.
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About the job
Be part of a diverse team that pushes boundaries, developing custom silicon solutions that power the future of Google's direct-to-consumer products. You will 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.
The US base salary range for this full-time position is $150,000-$223,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. The range displayed on each job posting reflects the minimum and maximum target salaries for the position across all US locations. 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 .
Responsibilities
- Develop and deploy tools and infrastructure to increase productivity of the Verification team.
- Develop and manage regression flows for simulation, emulation,Field Programmable Gate Arrays (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.