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3 часа назад

Design Verification Engineer (AI/ML)

96 570 - 144 600$
Формат работы
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

Текст:
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TL;DR

Design Verification Engineer (AI/ML): Verifying circuitry for cutting-edge SOCs and processors for AI and cloud data centers with an accent on System Verilog/UVM environments, test plan development, and debugging. Focus on ensuring design meets customer specifications, conducting coverage analysis, and resolving issues in a fast-paced environment.

Location: Onsite in Santa Clara, CA, USA

Salary: $96,570–$144,600 per annum

Company

hirify.global is a semiconductor solutions provider building essential components for the data infrastructure that connects our world, across enterprise, cloud, and AI architectures.

What you will do

  • Verify hirify.global's AI/ML, Network Processing, Compute, Memory Expander, and Accelerated Compute SOCs and IPs.
  • Develop verification test plans based on architecture and design specifications.
  • Gain understanding of complex System Verilog/UVM verification environments.
  • Write and execute test cases, debug failures, and resolve issues with the design team.
  • Run periodic regressions, triage failures, and address coverage gaps.
  • Develop deeper knowledge of the ASIC development process.

Requirements

  • Bachelor’s Degree in Electrical Engineering, Electronics, Computer Engineering, or related fields with 2+ years of experience OR Master’s Degree in Electrical Engineering, Electronics, Computer Engineering, or related fields.
  • Experience with Verilog and SystemVerilog, preferably with UVM.
  • Basic proficiency with C/C++.
  • Experience with scripting languages, e.g., Python or Perl.
  • Working knowledge of the Linux operating system.
  • Must be eligible to access export-controlled information as defined under applicable U.S. law.

Culture & Benefits

  • Comprehensive benefits supporting financial well-being, family support, mental and physical health, and recognition.
  • Employee stock purchase plan with a 2-year look back.
  • Family support programs and robust mental health resources.
  • Commitment to providing an inclusive and diverse work environment.
  • Interviews strictly prohibit the use of AI tools for assistance.

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