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2 часа назад

Design Verification Engineer (AI)

250 000 - 300 000$
Формат работы
onsite
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR
Design Verification Engineer (AI) (SystemVerilog/UVM): Developing verification strategies, scalable testbenches, and coverage plans for Cerebras AI chip architecture with an accent on first-silicon quality, reusable verification environments, and cross-functional hardware validation. Focus on debugging complex issues across simulation, emulation, and silicon bring-up while improving verification infrastructure and methodology.

Location: On-site at the Sunnyvale office, Sunnyvale, California, United States

Salary: $250,000–$300,000 annually, plus potential bonus and equity

Company

hirify.global Systems develops large-scale AI chip and computing architectures designed to accelerate model training and inference.

What you will do

  • Partner with architects, designers, post-silicon, software, firmware, physical design, and validation engineers to deliver designs that work on first silicon.
  • Develop verification strategies, detailed tests, coverage plans, and reusable verification environments based on microarchitecture.
  • Build stimulus, checkers, assertions, and coverage components using SystemVerilog, DPI, and UVM.
  • Implement tests, manage regressions, collect coverage, and debug failures across simulation, emulation, and silicon bring-up.
  • Improve verification infrastructure, flows, methodologies, and organization-wide best practices.

Requirements

  • 10+ years of design verification experience, including substantial hands-on work.
  • Deep knowledge of SystemVerilog testbenches, DPI, and UVM.
  • Strong programming skills, object-oriented design knowledge, and software engineering practices.
  • Experience developing scalable, portable testbenches and verification components.
  • Experience with simulators, waveform viewers, build and run automation, coverage collection, regressions, and gate-level simulations.
  • Proficiency in Python or Perl, with strong debugging, problem-solving, collaboration, and self-motivation skills.

Nice to have

  • Knowledge of pipelined processor architecture.
  • BS or MS in Computer Science or Electrical Engineering.

Culture & Benefits

  • Work on a large-scale AI platform designed beyond conventional GPU constraints.
  • Opportunities to contribute to cutting-edge AI research, publications, and open-source work.
  • Access to work involving one of the fastest AI supercomputers.
  • Startup vitality combined with job stability and a non-corporate work culture.
  • Inclusive environment focused on learning, growth, and individual contribution.

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