Silicon Design Verification Engineer, Google Cloud

Job description

Silicon Design Verification Engineer, Google Cloud

_corporate_fare_ Google _place_ Bengaluru, Karnataka, India

**Early**

Experience completing work as directed, and collaborating with teammates; developing knowledge of relevant concepts and processes.

**Minimum qualifications:**

+ Bachelor's degree in Electrical Engineering or equivalent practical experience.
+ 1 year of experience with verification methodology such as Universal verification methodology (UVM).
+ 1 year of experience in the verification of IP designs such as IP, SoC, vector CPUs, etc.
+ Experience with SystemVerilog, SVA, and functional coverage.

**Preferred qualifications:**

+ Master's degree in Electrical Engineering or a related technical field.
+ Experience with industry-standard simulators, revision control systems, and regression systems.
+ Experience with the full verification life-cycle.
+ Experience in Artificial Intelligence/Machine Learning (AI/ML) Accelerators or vector processing units.
+ Excellent problem-solving and communication skills.

**About the job**

In this role, you’ll work to shape the future of AI/ML hardware acceleration.

You will have an opportunity to drive cutting-edge TPU (Tensor Processing Unit) technology that powers Google's most demanding AI/ML applications.

You’ll be part of a team that pushes boundaries, developing custom silicon solutions that power the future of Google's TPU.

You'll contribute to the innovation behind products loved by millions worldwide, and leverage your design and verification expertise to verify complex digital designs, with a specific focus on TPU architecture and its integration within AI/ML-driven systems.

In this role, you will own the full verification life-cycle from verification planning and test execution to coverage closure, with an emphasis on meeting stringent AI/ML performance and accuracy goals, build constrained-random verification environments capable of exposing corner-case bugs and ensuring the reliability of Artificial Intelligence/Machine Learning (AI/ML) workloads on Tensor Processing Unit (TPU) hardware.

You will collaborate closely with design and verification engineers in active projects and perform verification.

The AI and Infrastructure team is redefining what’s possible.

We empower Google customers with breakthrough capabilities and insights by delivering AI and Infrastructure at unparalleled scale, efficiency, reliability and velocity.

Our customers include Googlers, Google Cloud customers, and billions of Google users worldwide.

We're the driving force behind Google's groundbreaking innovations, empowering the development of our cutting-edge AI models, delivering unparalleled computing power to global services, and providing the essential platforms that enable developers to build the future.

From software to hardware our teams are shaping the future of world-leading hyperscale computing, with key teams working on the development of our TPUs, Vertex AI for Google Cloud, Google Global Networking, Data Center operations, systems research, and much more.

**Responsibilities**

+ Plan the verification of digital design blocks and interact with design engineers to identify important verification scenarios.
+ Identify and write all types of coverage measures for stimulus and corner-cases.
+ Debug tests with design engineers to deliver functionally correct design blocks.
+ Measure to identify verification holes and to show progress towards tape-out.
+ Create a constrained-random verification environment using SystemVerilog and Universal Verification Methodology (UVM).

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Google is proud to be an equal opportunity and affirmative action employer.

We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law.

See alsoGoogle's EEO Policy (https://www.google.com/about/careers/applications/eeo/) ,Know your rights: workplace discrimination is illegal (https://careers.google.com/jobs/dist/legal/EEOC_KnowYourRights_10_20.pdf) ,Belonging at Google (https://about.google/belonging/) , andHow we hire (https://careers.google.com/how-we-hire/) .

If you have a need that requires accommodation, please let us know by completing ourAccommodations for Applicants form (https://goo.gl/forms/aBt6Pu71i1kzpLHe2) .

Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting.

To all recruitment agencies: Google does not accept agency resumes.

Please do not forward resumes to our jobs alias, Google employees, or any other organization location.

Google is not responsible for any fees related to unsolicited resumes.
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/OFCCP_EEO_Post.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.

Required Skill Profession

Other General