Back
Google logo

Senior Design Verification Engineer, Google Cloud

Google · Posted Oct 30

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

Mumbai, Maharashtra, IndiaFull-timeOnsiteSenior Level8+ years₹50.0L–₹85.0L yearly<25 applicants
InternetCloud ComputingSoftwareHardwareArtificial IntelligenceAdvertisingPublic Company
Be an early applicantFull time

Get a personal compatibility score

Add a resume for personal matches

About the role

The AI and Infrastructure team builds AI and infrastructure at scale, including custom TPU silicon that powers Google's AI/ML workloads. This role focuses on verification of complex digital designs for TPU architecture and AI/ML-driven systems. The engineer will own the verification lifecycle, build constrained-random SystemVerilog/UVM environments, and collaborate with design engineers to close coverage and debug tests.

What you will do

  • 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).

Skills used in this role

What the employer is looking for

  • Bachelor's degree in Electrical Engineering, Computer Engineering, Computer Science, or a related field, or equivalent practical experience.
  • 8 years of experience in Verification, verifying digital logic at RTL level using SystemVerilog or Specman/E for Field Programmable Gate Arrays (FPGAs) or ASICs.
  • Experience in verification and debug of IP/subsystem/SoCs in the Networking domain such as packet processing, bandwidth management, congestion control desired.
  • Experience verifying digital systems using standard IP components/interconnects (e.g., microprocessor cores, hierarchical memory subsystems).

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

Apply