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7 дней назад

Senior Verification Engineer (AI)

Формат работы
onsite
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
Israel
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR
Senior Verification Engineer (AI): Developing verification environments and tests for AI and deep learning hardware accelerators powering future autonomous-vehicle chips with an accent on SystemVerilog, UVM, embedded C/C++, and coverage-driven verification. Focus on integrating third-party VIPs and industry-standard protocols, debugging waveforms, identifying root causes, and collaborating with hardware architects and software developers.

Location: Ramat Gan, Israel; on-site

Company

Develops automotive technologies for accident prevention and semi- and fully autonomous vehicles, including AI-powered EyeQ chips.

What you will do

  • Define, implement, and enhance unit-level verification environments using UVM methodology.
  • Write and debug tests combining UVM methodology with embedded software code.
  • Define coverage measures and apply coverage-driven verification practices.
  • Integrate industry-standard protocols such as AXI and OCP, along with third-party VIPs.
  • Collaborate with designers, architects, and software developers across the Haifa and Jerusalem teams.
  • Debug waveforms with EDA tools and independently identify root causes of bugs.

Requirements

  • BSc in electrical engineering, computer engineering, or computer science.
  • 8+ years of experience developing verification environments, tests, and test benches.
  • SystemVerilog skills, preferably with OVM or UVM.
  • Embedded software experience and C/C++ skills.
  • Experience defining test plans and implementing coverage-driven verification.
  • Experience testing integrations with third-party IPs.

Nice to have

  • Perl or Python scripting skills.
  • Knowledge of industry-standard protocols such as AXI, OCP, or APB.

Culture & Benefits

  • Full-time employment in an on-site R&D hardware environment.
  • Work with hardware, architecture, and software engineering teams on future autonomous-vehicle chips.
  • Hiring processes may use AI-supported application and assessment tools, with final decisions made by people.

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