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3 часа назад

AI Silicon, Design Verification

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
AI Silicon, Design Verification (UVM/SystemVerilog): Building comprehensive verification architectures, testbenches, and infrastructure for AI silicon IP blocks and full-chip designs with an accent on constrained-random stimulus, coverage-driven verification, and assertions. Focus on debugging RTL and gate-level failures, analyzing functional and code coverage, and driving verification closure across digital, analog, software, and systems interfaces.

Location: Mountain View, CA, United States

Company

hirify.global is developing energy-efficient computing architectures for AI by leveraging semiconductor device physics.

What you will do

  • Define, architect, and implement verification plans and environments for IP blocks and full-chip designs from specification through tape-out.
  • Build scalable verification infrastructure, testbenches, test cases, and automated environments.
  • Apply UVM and SystemVerilog for constrained-random stimulus, coverage-driven verification, and assertions.
  • Collaborate with digital and analog design, software, and systems teams to define requirements and debug hardware/software interactions.
  • Analyze functional and code coverage and debug RTL- and gate-level failures to achieve verification closure.

Requirements

  • Bachelor’s degree in Electrical Engineering, Computer Engineering, Computer Science, or a related field, or equivalent practical experience.
  • At least 8 years of hands-on experience with advanced verification methodologies and languages.
  • Strong experience with UVM and SystemVerilog is required.
  • Experience developing and maintaining complex verification testbenches and automated test environments.
  • Proficiency in Python, Shell, or Bash for verification-flow automation and result analysis.
  • Familiarity with Linux and industry-standard Cadence and Synopsys tools.

Nice to have

  • Master’s degree or Ph.D. in Electrical Engineering or Computer Science, with an emphasis on computer architecture.
  • Expert-level knowledge of UVM architecture and high-level behavioral modeling.
  • Experience with AI-driven code generation tools.

Culture & Benefits

  • Opportunity to contribute as a foundational team member with significant ownership.
  • Work on complex, unsolved problems across AI, semiconductors, and computing.
  • Comprehensive health benefits and 401(k) matching.
  • Unlimited paid time off.
  • Complimentary meals at the Palo Alto office.

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