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Salary
≈ $116k – $276k per year (Estimated)
Location
In office (Tel Aviv)
Seniority
Staff · 10+ years exp

Confirmed on the employer's own hiring board on Sep 26, 2026. First seen by Alion on Sep 17, 2026.

Overview
Company
Impact
Profile match
Google is an American technology company founded in 1998 by Larry Page and Sergey Brin and now the principal subsidiary of Alphabet, headquartered in Mountain View, California. It operates the world's dominant search engine and the advertising system built around it, along with YouTube, Android, Chrome, Gmail, Maps, Workspace and Google Cloud, reaching billions of users across nearly every internet-connected market. The company designs its own silicon in the Tensor Processing Unit line, develops the Gemini foundation models through Google DeepMind, and derives most of its revenue from advertising while cloud has become its fastest growing segment.

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.

In this role, you will work to shape the future of an edge-AI product, bringing high-performance intelligence to the edge. You will have an opportunity to drive cutting-edge distributed inference technology that powers real-time systems where latency and reliability are mission-critical.

You will be part of a team that pushes boundaries, developing robust, autonomous solutions that define the next generation of intelligent infrastructure and hardware for the edge. You will contribute to the innovation behind products that transform industries, leveraging your expertise in system-level integration and localized processing to deploy complex AI models across sophisticated hardware platforms, ensuring intelligence is embedded exactly where the action happens.

Google's mission is to organize the world's information and make it universally accessible and useful. Our team combines the best of Google AI, Software, and Hardware to create radically helpful experiences. We research, design, and develop new technologies and hardware to make computing faster, seamless, and more powerful. We aim to make people's lives better through technology.

Responsibilities

  • Lead a team of chip verification engineers. Plan tasks, allocate people, hold verification design/code reviews, and drive verification execution.
  • Plan the verification of digital design blocks, including writing test plans, and other verification documents.
  • Work closely with Architecture, Software, Design, and Physical Design stakeholders to make technical decisions and represent project status throughout the development process.
  • Develop verification features and capabilities, and participate in RTL debug.

Qualifications

Minimum qualifications:

  • Bachelor's degree in Electrical Engineering or a related field, or equivalent practical experience.
  • 10 years of experience working with hardware verification languages (e.g., System Verilog/Specman), design verification methodologies (e.g., Universal Verification Methodology (UVM)) and chip design flow.
  • Experience in leading chip verification teams through the full lifecycle from concept to delivery.
  • Experience in creating chip or subsystem design verification strategies and plans.

Preferred qualifications:

  • 15 years of experience in verification of complex SoC/ASIC.
  • 10 years of experience managing verification teams.
  • Experience in chip design/verification of high performance AI/ML accelerators.
  • Experience with industry verification techniques, including complementary techniques such as formal verification, and emulation.
  • Experience in low power verification.
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