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Salary
≈ $85k – $184k per year (Estimated)
Location
In office (Tel Aviv)
Seniority
Middle · 4+ years exp

Confirmed on the employer's own hiring board on Sep 26, 2026. First seen by Alion on Sep 9, 2026. Google scores B on the Alion truth index.

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 use Application-Specific Integrated Circuit (ASIC) design experience to be part of a team that develops complex ASIC System-on-Chip (SoC) intellectual property from proof-of-concept to production. This includes creating IP Level microarchitecture definitions, Register-Transfer Level (RTL) coding and all RTL quality checks. You will also have the opportunity to contribute to design flow and methodologies, including design generation automation. You will collaborate with members of architecture, software, verification, power, timing, synthesis design for testing, etc. You will develop/define design options for performance, power and area.

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 IP microarchitecture level design document such as interface protocol, block diagram, transaction flow, pipeline, etc.
  • Perform RTL development (coding and debug in Verilog, SystemVerilog).
  • Conduct function/performance simulation debug and Lint/CDC/FV/UPF checks.
  • Engage in synthesis, timing/power closure, and ASIC silicon bring-up.
  • Contribute to verification test plan and coverage analysis of block and SoC-level.

Qualifications

Minimum qualifications:

  • Bachelor's degree in Electrical Engineering, Computer Engineering, Computer Science, a related field, or equivalent practical experience.
  • 4 years of experience with digital logic design principles, Register-Transfer Level (RTL) design concepts, and languages such as Verilog or System Verilog.
  • Experience in logic design and debug with Design Verification (DV).
  • Experience with microarchitecture and specifications.

Preferred qualifications:

  • Experience with logic synthesis techniques to optimize Register-Transfer Level (RTL) code, performance and power as well as low-power design techniques.
  • Experience with design sign off and quality tools (e.g., Lint, CDC, VCLP, etc.).
  • Experience in a scripting language like Python or Perl.
  • Knowledge of SoC architecture and assertion-based formal verification.
  • Knowledge of one of these areas, PCIe, UCIe, DDR, AXI, ARM processors family.
  • Knowledge of high performance and low power design techniques.
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