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3 дня назад

Design Verification Engineer (AI Hardware)

120 000 - 240 000$
Формат работы
remote (только USA)/onsite
Тип работы
fulltime
Грейд
middle
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR
Design Verification Engineer (AI Hardware) (SystemVerilog/UVM): Developing verification strategies, reusable testbenches, and coverage plans for Cerebras AI hardware with an accent on micro-architecture-based testing, simulation, emulation, and silicon bring-up. Focus on debugging complex verification failures, improving regression and coverage infrastructure, and collaborating across architecture, RTL, physical design, firmware, and validation.

Location: Sunnyvale, California; on-site, with remote candidates also considered

Salary: $120,000–$240,000 annually, plus potential bonus and equity

Company

hirify.global builds large-scale AI hardware and computing systems designed to accelerate model training and inference beyond conventional GPU platforms.

What you will do

  • Develop verification strategies, detailed tests, and coverage plans based on micro-architecture.
  • Create scalable and reusable verification environments with stimulus, checkers, assertions, and coverage components.
  • Implement tests, manage regressions, collect coverage, and debug failures.
  • Analyze complex issues across simulation, emulation, and silicon bring-up.
  • Collaborate with architecture, RTL design, physical design, firmware, post-silicon, software, and validation teams.
  • Improve verification infrastructure, flows, methodologies, and organization-wide best practices.

Requirements

  • 3+ years of design verification experience.
  • Deep knowledge of SystemVerilog testbenches, DPI, and UVM.
  • Strong programming skills and software engineering practices, including object-oriented design.
  • Experience with scalable testbenches, simulators, waveform viewers, automation, coverage collection, and gate-level simulation.
  • Proficiency in Python or Perl scripting.
  • Advanced debugging, problem-solving, interpersonal, and cross-functional collaboration skills.

Nice to have

  • Knowledge of pipelined processor architecture.
  • BS or MS in Computer Science or Electrical Engineering.
  • Additional hands-on design verification experience.

Culture & Benefits

  • Work on an AI platform designed to go beyond GPU limitations.
  • Opportunities to contribute to cutting-edge AI research and open-source projects.
  • Access to work involving high-performance AI supercomputing.
  • Startup vitality combined with job stability.
  • Non-corporate work culture focused on individual beliefs, inclusion, learning, growth, and support.

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