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4 дня назад

PCIe QA Engineer (AI)

81 000 - 130 000$
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

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TL;DR

PCIe QA Engineer (AI): Validating PCIe switch functionality, performance, and compliance for high-performance computing clusters with an accent on AI/ML workloads and GPU connectivity. Focus on building comprehensive test automation using Python, performing system-level debugging, and validating protocols like RoCE to ensure reliability in large-scale AI infrastructure.

Location: Must be based in San Jose, California, USA

Compensation: $81,000–$130,000 annually

Company

hirify.global is a global technology leader that designs, develops, and supplies a wide range of semiconductor and infrastructure software solutions.

What you will do

  • Create and maintain test scenarios, test cases, and automated test suites.
  • Perform holistic validation of PCIe switch functionality, performance, and compliance.
  • Review design and functional specifications to ensure deep product understanding.
  • Execute complex test activities and collaborate with multi-site development teams.
  • Review user documentation to ensure accurate technical representation.
  • Manage and prioritize parallel testing tasks across multiple releases.

Requirements

  • Bachelor’s or Master’s degree in Engineering.
  • 2–4 years of hands-on experience in software testing.
  • Strong experience with PCIe testing, including config space, link training, and virtualization.
  • Proficiency in Python for network and system-level test automation.
  • Strong analytical, problem-solving, and debugging skills.
  • Ability to work effectively within a multi-site team environment.

Nice to have

  • Experience with AMD/NVIDIA GPUs, RCCL/NCCL libraries, and CUDA/RoCM.
  • Knowledge of NVMe drives and storage stress-testing tools.
  • Experience with PCIe analyzers, jammers, and load generators.
  • Networking background with L2/L3 protocols, especially RoCE in AI/ML or HPC environments.
  • Familiarity with deep learning models like NLP, LLMs, or image classification.

Culture & Benefits

  • Comprehensive medical, dental, and vision insurance plans.
  • 401(k) participation with company matching.
  • Employee Stock Purchase Program (ESPP) and discretionary annual bonuses.
  • Paid holidays, sick leave, and vacation time.
  • Commitment to equal opportunity employment and inclusive workplace practices.

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