Назад
Company hidden
19 часов назад

PCIe QA Engineer

82 500 - 132 000$
Формат работы
onsite
Тип работы
fulltime
Грейд
junior
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
PCIe QA Engineer (PCIe/Python): Testing Broadcom's PCIe switch solution across functionality, performance, compliance, and system-level configurations with an accent on PCIe protocol validation and test automation. Focus on designing thorough test scenarios, debugging complex switch behavior, and validating networking, GPU, storage, and AI/ML cluster use cases.

Location: Onsite in San Jose, California, USA

Annual base salary: USD 82,500–132,000, plus discretionary annual bonus and equity awards.

Company

hirify.global develops semiconductor and software solutions, including PCIe switch products for system and data-center applications.

What you will do

  • Create and review test scenarios, test cases, and test automation for PCIe switch solutions.
  • Review development specifications to understand and validate product functionality.
  • Execute comprehensive functional, performance, and compliance testing across configurations and use cases.
  • Collaborate with developers and testers across multiple sites.
  • Review user documentation for accuracy and clarity.
  • Prioritize and manage parallel testing tasks, projects, and releases.

Requirements

  • Bachelor's or Master's degree in Engineering and at least 2 years of hands-on testing experience.
  • Strong PCIe testing experience, including Config Space, Link Training, ACS, Hotplug, Virtualization, P2P, BMC interaction, AER/DPC, and backplanes.
  • Hands-on Python automation experience for network- and system-level programming.
  • Strong analytical, problem-solving, debugging, and test-case design skills.
  • Networking experience with protocol testing and validation.
  • Excellent communication skills, critical thinking, self-direction, and a strong engineering mindset.

Nice to have

  • Experience with AMD or NVIDIA GPUs, RCCL/NCCL, ROCm/CUDA, and GPU microbenchmarks.
  • Experience with NVMe drives and storage stress-generation tools.
  • Experience with PCIe analyzers, protocol jammers, and load generators such as Medusa tools.
  • Knowledge of L2/L3 protocols, especially RoCE, and AI/ML or HPC cluster use cases.
  • Knowledge of deep learning models including NLP, LLMs, recommendation systems, and image classification.

Culture & Benefits

  • Full-time position within a software team working with multi-site engineering groups.
  • Medical, dental, and vision plans.
  • 401(k) participation with company matching and an Employee Stock Purchase Program.
  • Employee Assistance Program, paid holidays, paid sick leave, and vacation time.
  • Paid family leave and other legally applicable leaves of absence.

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