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2 дня назад

Senior ASIC Verification Engineer (AI)

Формат работы
hybrid
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
Israel
Вакансия из списка Hirify.GlobalВакансия из Hirify RU Global, списка компаний с восточно-европейскими корнями
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TL;DR

Senior ASIC Verification Engineer (AI): Developing and verifying next-generation AI hardware solutions with an accent on complex IPs and subsystems. Focus on building scalable verification environments, driving coverage closure for sign-off, and advancing the use of AI-driven automation tools in the verification flow.

Location: Hybrid (Israel, Haifa)

Company

hirify.global is a global leader in semiconductor manufacturing, focusing on pushing the boundaries of silicon for emerging AI workloads.

What you will do

  • Own verification strategy and execution for complex AI acceleration IPs and subsystems.
  • Build verification environments and define comprehensive plans to drive coverage closure to sign-off.
  • Provide technical leadership and mentorship to shape the team's verification methodology and workflows.
  • Champion and advance the integration of AI tools across the verification flow for improved leverage.
  • Collaborate with architects, designers, DFT, and emulation teams to ensure correctness from block to system level.

Requirements

  • B.Sc. in Electrical Engineering, Computer Engineering, or equivalent.
  • 6+ years of hands-on functional verification experience.
  • Deep expertise in SystemVerilog/UVM, constrained-random, and coverage-driven verification.
  • Proven track record of taking complex IPs or subsystems to sign-off.
  • Demonstrated technical leadership in owning strategy and mentoring engineers.

Nice to have

  • Verification experience with accelerators, datapath, or compute-heavy IPs for AI/ML.
  • Familiarity with the broader development cycle, including design, DFT, and bring-up.

Culture & Benefits

  • Startup-like culture within a large corporation, emphasizing agility and fast iteration.
  • Exposure to cutting-edge AI hardware development and modern AI-driven automation tools.
  • Hybrid work model allowing a split between on-site and off-site work.

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