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5 дней назад

Systems Applications & AI Tooling Engineer (AI)

50 000 - 80 000CAD
Формат работы
onsite
Тип работы
fulltime
Английский
b2
Страна
Canada
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR

Systems Applications & AI Tooling Engineer (AI): Developing and maintaining internal AI-powered tools for debugging and customer support of PCIe switches and Ethernet NICs with an accent on rapid prototyping and LLM integration. Focus on building RAG systems and AI agents to accelerate troubleshooting and product design-in for enterprise infrastructure.

Location: Canada, Richmond (International Place)

Salary: $50,000 - $80,000 CAD

Company

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

What you will do

  • Provide guidance to OEM and Cloud customers on integrating PCIe switches and Ethernet NICs into servers and custom designs.
  • Rapidly prototype internal AI tools using assistants like Cursor and Claude Code to enhance debug efficiency.
  • Maintain AI-generated support tools, refining LLM prompts and managing API integrations.
  • Develop and deploy AI-powered agents to help customers speed up preliminary troubleshooting.
  • Reproduce and debug complex issues in customer platforms, driving fixes across firmware and software teams.
  • Create detailed product documentation for networking, switching, and storage products.

Requirements

  • Bachelor or Master of Science in Electrical Engineering, Computer Science, or Computer Engineering.
  • Experience with system, software, and protocol-level debug.
  • Hands-on fluency with modern AI coding assistants and LLM APIs (e.g., Cursor, OpenAI).
  • Foundational understanding of networking principles (OSI, TCP/IP, Ethernet) and high-speed interconnects.
  • Strong written and verbal communication skills in English.
  • Must be based in or authorized to work in Richmond, Canada.

Nice to have

  • Proficiency in Python, JavaScript/Node.js, and C/C++.
  • Experience with RAG system design and MLOps concepts, including Docker.
  • Knowledge of Ethernet NIC drivers and packet analysis tools like Wireshark.
  • Experience with x86, ARM, or PPC embedded processors and protocol analyzers.

Culture & Benefits

  • Opportunity to work at the intersection of hardware systems and cutting-edge Generative AI.
  • Global work environment with exposure to enterprise-level infrastructure.
  • Equal opportunity employer committed to diversity and inclusion.

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