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Senior Silicon Design Verification Engineer, Google Cloud

Google · Posted Oct 9

Search engine, cloud computing, software, hardware, and artificial intelligence services

Hyderabad, Telangana, IndiaFull-timeOnsiteSenior Level5–10 years₹45.0L–₹80.0L yearly100+ applicants
InternetCloud ComputingSoftwareHardwareArtificial IntelligenceAdvertisingPublic Company
Full time

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About the role

The AI and Infrastructure team delivers AI and infrastructure at scale, including custom silicon solutions, Tensor Processing Units (TPUs), Vertex AI for Google Cloud, Google Global Networking, and hyperscale data center systems. This role owns the full verification life cycle for digital design blocks, building constrained-random verification environments and closing coverage to ensure the reliability of AI/ML workloads on TPU hardware. The engineer collaborates with design and verification engineers on active silicon projects with an emphasis on stringent AI/ML performance and accuracy goals.

What you will do

  • 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 and Universal Verification Methodology. Verify designs with SystemVerilog Assertions and 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.

Skills used in this role

SystemVerilogUniversal Verification MethodologySystemVerilog AssertionsFormal VerificationConstrained-Random VerificationTensor Processing Unit (TPU)AI/ML AcceleratorsVector Processing UnitsIndustry-Standard SimulatorsRevision Control SystemsRegression SystemsComputer ArchitectureVerification PlanningCoverage ClosureDebuggingProblem SolvingCommunication

Preferred qualifications

  • Master's degree or PhD in Electrical Engineering, Computer Engineering or Computer Science, with an emphasis on computer architecture.
  • Experience with industry-standard simulators, revision control systems, and regression systems.
  • Experience in Artificial Intelligence/Machine Learning (AI/ML) accelerators or vector processing units.
  • Experience with the full verification life cycle.
  • Excellent problem-solving and communication skills.

Benefits and support

  • Compensation and benefits are detailed in the job posting

About Google

Google LLC is an American multinational technology company focusing on artificial intelligence, online advertising, search engine technology, cloud computing, computer software, quantum computing, e-commerce, and consumer electronics. As a subsidiary of Alphabet Inc., it is widely recognized for services like Google Search, YouTube, Android, and the Gemini AI ecosystem.

Industry
Internet
Company size
180000+ employees
Founded
1998-09-04
Location
Mountain View, California, USA
Funding stage
Public Company

Funding

Public Company · $25M raised

Kleiner PerkinsSequoia Capital
  • 1999-06-07Series A$25M

Leadership

SP
Sundar Pichai

Chief Executive Officer

AA
Anat Ashkenazi

Senior Vice President and Chief Financial Officer

PS
Philipp Schindler

Senior Vice President and Chief Business Officer

TK
Thomas Kurian

Chief Executive Officer, Google Cloud