Senior ASIC Design Methodology & Flow Engineer


Caesarea, Israel


About the Role
Join us in shaping the future of AI connectivity! This is a unique opportunity to help
build a new Israeli R&D site from the ground up. We’re looking for highly
experienced and visionary engineers to define the technological foundation of our
next-generation AI infrastructure.


As a Senior Frontend TFM (Tools, Flows, and Methodology) Engineer, you’ll be
part of our silicon design team — driving the development of robust, scalable, and
automated design environments for cutting-edge ASIC and SoC programs.

Why AI-Fabrics
At AI-Fabrics, we’re redefining AI infrastructure from the ground up.
Join a world-class multidisciplinary team and take a key role in shaping the design
environment and methodologies behind the industry’s most advanced AI connectivity
silicon.

Key Responsibilities

  • Define, develop, and maintain EDA flows for synthesis, lint, CDC, equivalence
    check, and STA.
  • Integrate frontend design environments across RTL design, verification, and
    physical design teams.
  • Evaluate and deploy new EDA tools and methodologies to improve design
    productivity and quality.
  • Develop automation scripts (Python, Tcl, Make, etc.) for continuous integration
    and regression flows.
  • Collaborate with design and verification engineers to ensure smooth handoffs
    and consistent flows.
  • Own methodology documentation and define best practices for frontend
    design enablement.

Requirements

  • B.Sc. / M.Sc. in Electrical Engineering, Computer Engineering, or related field.
  • 10+ years of experience in frontend design TFM, CAD, or design
    infrastructure roles.
  • Strong understanding of RTL design and synthesis flows (Verilog /
    SystemVerilog).
  • Hands-on experience with Synopsys, Cadence, or Siemens EDA tools.
  • Proficient in scripting languages (Python, Perl, Tcl).
  • Familiarity with version control systems (Git, Perforce) and CI/CD flows.
  • Excellent analytical, problem-solving, and collaboration skills.

Nice to Have

  • Experience with AI, networking, or high-performance ASICs.
  • Exposure to open-source EDA tools or custom automation frameworks.
  • Knowledge of DFT, backend, or PnR flows.

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