ASIC Design Verification Engineer, Machine Learning

Sunnyvale, CA, USA

Google

Google’s mission is to organize the world's information and make it universally accessible and useful.

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Minimum qualifications:

  • Bachelor's degree in Computer Science, Electrical Engineering, a related field, or equivalent practical experience.
  • Experience with SystemVerilog (e.g. SystemVerilog Assertions or functional coverage).

Preferred qualifications:

  • Master's degree or PhD in Electrical Engineering.
  • Experience with Universal Verification Methodology (UVM).
  • Experienced with the full verification life cycle.

About the job

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.

With your technical expertise, you lead projects in multiple areas of expertise (i.e., engineering domains or systems) within a data center facility, including construction and equipment installation/troubleshooting/debugging with vendors.

In this role, you will use design and verification expertise to verify complex digital designs. You will collaborate closely with design and verification engineers in active projects and perform verification.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.

Responsibilities

  • Plan the verification of complex digital design blocks by fully understanding the design specification and interacting with design engineers to identify important verification scenarios.
  • Create and enhance constrained-random verification environments using SystemVerilog and UVM, or formally verify designs with industry leading formal tools.
  • Identify and write all types of coverage measures for stimulus and corner-cases.
  • Debug tests with design engineers to deliver functionally correct design blocks.
  • Close coverage measures to identify verification holes and to show progress towards tape-out.
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Tags: Architecture ASIC Design Circuit Design Computer Science Engineering Machine Learning PhD

Perks/benefits: Equity Salary bonus

Region: North America
Country: United States
Job stats:  1  0  0

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