Full-Time

Multimedia Design Verification Lead

Silicon

Posted on 9/14/2026

Google

Google

10,001+ employees

Tech giant offering search, ads, cloud

Compensation Overview

$192k - $278k/yr

+ 20% bonus target + Equity

Company Historically Provides H1B Sponsorship

Mountain View, CA, USA + 1 more

More locations: San Diego, CA, USA

Remote

Bachelor's, Master's, PhD

Category
Hardware Engineering (1)
Required Skills
Graphics Processing Unit (GPU)
Verilog
Software Testing
Machine Learning

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Requirements
  • A Bachelor's degree in Electrical Engineering, Computer Engineering, or Computer Science, or equivalent practical experience.
  • 10 years of experience verifying digital logic at RTL using SystemVerilog for application-specific integrated circuits.
  • 4 years of experience in people management and developing employees.
  • Experience constructing reusable verification components and environments using Universal Verification Methodology.
  • Experience leading the full functional-verification and performance-validation cycle for subsystems such as camera machine-learning or multimedia image signal processors, displays, tensor-processing or graphics-processing units, processors, or systems-on-chip.
Responsibilities
  • Plan and execute intellectual-property- and subsystem-level verification for complex image-signal-processor and multimedia hardware, partnering with architecture and design teams to identify critical scenarios and support full-chip integration.
  • Lead subsystem verification for power and performance, including low-power design, embedded-processor integration, and dynamic voltage and frequency scaling features.
  • Build and enhance SystemVerilog and Universal Verification Methodology constrained-random testbenches, debugging failures alongside designers to ensure functionally robust blocks.
  • Define, measure, and close comprehensive coverage across stimulus and corner cases to eliminate verification holes and drive progress toward tape-out.
  • Manage and mentor a global design-verification team across methodology, scheduling, regressions, and reviews, while aligning with system-on-chip teams to track all milestone deliverables.
Desired Qualifications
  • A Master's degree or PhD in Electrical Engineering, Computer Engineering, or Computer Science, with an emphasis on computer architecture.
  • Experience with camera image-signal-processor image processing or other multimedia intellectual properties such as display, video codec, or machine-learning accelerator verification.
  • Experience with SystemVerilog Assertions, assertion-based verification, and formal verification.
  • Experience working with software teams to define hardware/software interfaces, including control/status registers, security, and error handling.
  • Experience with low-power verification and power-management flows.

Google provides internet services and products, including a widely used search engine and a large ecosystem of tools for individuals and businesses. It works by processing user queries and ranking results with relevance and personalized data, while its advertising platforms show targeted ads to users. Its products span cloud computing (Google Cloud), productivity software (Google Workspace), and hardware like Pixel phones and Nest devices, all connected through data and machine learning. Its goal is to organize the world’s information so it is universally accessible and useful, while supporting a sustainable business model built on ads and a growing software, cloud, and hardware portfolio.

Company Size

10,001+

Company Stage

IPO

Headquarters

Mountain View, California

Founded

1998

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Simplify Jobs

Simplify's Take

What believers are saying

  • Google Cloud revenue rose 82% to $24.8 billion in Q2 2026.
  • Search queries hit an all-time high last quarter despite AI feature expansion.
  • Google hired Windsurf CEO Varun Mohan and staff, strengthening AI coding tools.

What critics are saying

  • EU publishers filed an antitrust complaint on February 10, 2026 over AI Overviews.
  • Britain forced Google to let publishers opt out of AI search on June 3, 2026.
  • AI Mode threatens ad economics and search traffic as users bypass blue links.

What makes Google unique

  • Google Search AI Mode surpassed 1 billion monthly users in May 2026.
  • Gemini 3.5 Flash now powers Search, AI Studio, Android Studio, and AI Mode.
  • Google Cloud combines infrastructure, TPU sales, and Gemini distribution across enterprise contracts.

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Benefits

Hybrid Work Options

Remote Work Options

Performance Bonus

Company Equity

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