Design Verification Engineer, CPU, Google Cloud

Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Tel Aviv, Israel; Haifa, Israel.
Minimum qualifications:
Bachelor's degree in Electrical Engineering or equivalent practical experience.
3 years of experience verifying digital logic at RTL level using SystemVerilog, or Specman/E for FPGAs or ASICs.
Experience creating and using verification components and environments in standard verification methodology.
Experience verifying digital systems using standard IP
components/interconnects (microprocessor cores, hierarchical memory
subsystems).

Preferred qualifications:
Master’s degree in Electrical Engineering, Computer Science, or related field.
Experience with UVM, SystemVerilog, or other scripting languages (e.g. Python, Perl, Shell, Bash, etc.).

Experience with CPU implementation, assembly language, or compute System on a Chip (SOC).

About the job
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.

As a CPU Design Verification Engineer, you will work as part of a Research and Development team, and you will build verification components, constrained-random testing, system testing, and verification closure. As part of our server chip design team, you will verify digital designs. You will collaborate closely with design and verification engineers in projects and perform direct verification. You'll build efficient and effective constrained-random verification environments that exercise designs through their corner-cases and expose all types of bugs. You will manage the full lifecycle of verification which can range from verification planning, test execution or collecting, and closing coverage.

The ML, Systems, & Cloud AI (MSCA) organization at Google designs, implements, and manages the hardware, software, machine learning, and systems infrastructure for all Google services (Search, YouTube, etc.) and Google Cloud. Our end users are Googlers, Cloud customers and the billions of people who use Google services around the world.

We prioritize security, efficiency, and reliability across everything we do - from developing our latest TPUs to running a global network, while driving towards shaping the future of hyperscale computing. Our global impact spans software and hardware, including Google Cloud’s Vertex AI, the leading AI platform for bringing Gemini models to enterprise customers.

Responsibilities
Plan the verification of 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/UVM, or Specman.

Identify and write all types of coverage measures for stimulus and corner-cases.

Debug tests with design engineers to deliver functionally correct design blocks.

Lead 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 Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.