Remote Job Description

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 $141,000-$219,000 + 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 for new hire 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.

Responsibilities

  • Develop and deploy tools and infrastructure to increase the productivity of the verification team.
  • Work to continuously improve our verification flows.
  • Evaluate, benchmark, and integrate Electronic design automation (EDA) tools into our verification flows.
  • Assist in the development and use of databases for various key information of verification metrics including fail signatures, pass/fail rates, simulator performance, etc.
  • Develop and manage large-scale regression flows for simulation, emulation, fpga platforms, including automated test generation.

Qualifications

Minimum qualifications:

  • 5 years of experience in verification flow infrastructure or CAD.
  • Experience in programming languages such as Python or Perl scripting.

Preferred qualifications:

  • 10 years of experience with verification flows and automation.
  • 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 and emulation/fpga.
  • Experience with revision control systems and automation server tools such as Jenkins.
  • Experience with databases such as SQL or Oracle.

Note: Google’s hybrid workplace includes remote and in-office roles. By applying to this position you will have an opportunity to share your preferred working location from the following:

In-office locations: Mountain View, CA, USA; Austin, TX, USA.
Remote location(s): New York, USA.