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SOC and IP Design Engineer, Google Cloud

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Onsite

SOC and IP Design Engineer, Google Cloud

Google

SOC and IP Design Engineer, Google Cloud

Skills

Google Cloud Platform

12 days ago

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Important information


Contract type:

Permanent

Location:

Tel Aviv-Yafo, Israel

Work mode:

Onsite

Published on:

15 October 2026

What they need


In most instances, this position requires in-person interviews as part of the hiring process.

Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Haifa, Israel; Tel Aviv, Israel . Minimum qualifications:

  • Bachelor's degree in Electrical Engineering, Computer Engineering, Computer Science, or a related field, or equivalent practical experience.
  • 4 years of experience with digital logic design principles, RTL design concepts, and languages, such as Verilog or SystemVerilog.
  • Experience with logic synthesis techniques to optimize RTL code, performance and power, as well as low-power design techniques.
  • Experience with design sign-off and quality tools (e.g., Lint, CDC, etc.).
  • Experience with SoC or IP architecture.

Preferred qualifications:

  • Master's degree or PhD in Electrical Engineering, Computer Engineering or Computer Science, with an emphasis on computer architecture.
  • Knowledge of high-performance and low-power design techniques, assertion-based formal verification, Field-programmable Gate Array (FPGA) and emulation platforms, and SoC architecture.
  • Knowledge in one of the following areas such as Double Data Rate (DDR)/Low Power Double Data Rate (LPDDR), High-bandwidth memory (HBM).
  • Excellent problem-solving and debugging skills.

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.

The ML, Systems, & Cloud AI (MSCA) organization at Google designs, implements, and manages the hardware, software, machine learning, and systems infrastructure for all Google services (Search, YouTube, etc.) and Google Cloud. Our end users are Googlers, Cloud customers and the billions of people who use Google services around the world.

We prioritize security, efficiency, and reliability across everything we do - from developing our latest TPUs to running a global network, while driving towards shaping the future of hyperscale computing. Our global impact spans software and hardware, including Google Cloud’s Vertex AI, the leading AI platform for bringing Gemini models to enterprise customers.

Responsibilities

  • Define the block-level design document (e.g., interface protocol, block diagram, transaction flow, pipeline, etc.).
  • Perform Register-Transfer Level (RTL) coding (coding and debug in Verilog, SystemVerilog), function/performance simulation debug, and Lint/CDC/FV/UPF checks.
  • Participate in synthesis, timing/power closure activities.
  • Participate in test plan and coverage analysis of the block and SoC-level verification.
  • Communicate and work with multi-disciplined and multi-site teams.

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 Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form .

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