Job Information
Google ASIC Design Verification Engineer, Machine Learning, Early Career in Madison, Wisconsin
Minimum qualifications:
Bachelor's degree in Electrical Engineering, Computer Engineering, a related field, or equivalent practical experience.
1 year of experience coding in SystemVerilog through internships or work experience.
Experience verifying digital logic at the Register Transfer Level (RTL) using SystemVerilog for FPGAs, ASICs, or SOCs.
Preferred qualifications:
Master's degree or PhD in Electrical Engineering, Computer Engineering, or a related field.
Experience with verification methodology such as UVM/OVM/VMM.
Experience with the full verification life cycle.
Experience in SystemVerilog.
Excellent team player, problem-solving, and communication skills .
Our computational challenges are so big, complex and unique we can't just purchase off-the-shelf hardware, we've got to make it ourselves. Your team designs and builds the hardware, software and networking technologies that power all of Google's services. As a Hardware Engineer, you design and build the systems that are the heart of the world's largest and most powerful computing infrastructure. You develop from the lowest levels of circuit design to large system design and see those systems all the way through to high volume manufacturing. Your work has the potential to shape the machinery that goes into our cutting-edge data centers affecting millions of Google users.
As a key member of the team, you manage projects in multiple areas with your expertise. You also monitor the performance of vendors working on projects and evaluate new technologies.
In this role, you will use your design and verification expertise to verify complex digital designs. You will collaborate closely with design and verification engineers in active projects and perform direct verification. Using SystemVerilog coding and problem-solving skills, you will build efficient and effective constrained-random verification environments that exercise designs through their corner-cases and expose all types of bugs. You will be responsible for the full life cycle of verification, from verification planning to test execution, to collecting and closing coverage.
Behind everything our users see online is the architecture built by the Technical Infrastructure team to keep it running. From developing and maintaining our data centers to building the next generation of Google platforms, we make Google's product portfolio possible. We're proud to be our engineers' engineers and love voiding warranties by taking things apart so we can rebuild them. We keep our networks up and running, ensuring our users have the best and fastest experience possible.
The US base salary range for this full-time position is $108,000-$158,000 + 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 (https://careers.google.com/benefits/) .
Plan the verification of complex digital design blocks, understand the design specification, and interact with design engineers to identify important verification scenarios.
Create a constrained-random verification environment using SystemVerilog and Universal Verification Methodology (UVM).
Identify and write all types of coverage measures for stimulus and corner-cases.
Debug tests with design engineers to deliver correct design blocks.
Close coverage measures to identify verification holes and to show progress towards tape-out.
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/OFCCPEEOPost.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.