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Ecosystem Technical Enabling Engineer (Edge AI)

Формат работы
hybrid
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
Taiwan
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
Ecosystem Technical Enabling Engineer (Edge AI): Evaluating hardware and software vendor solutions and developing enablement plans for Intel Edge and Edge AI platforms with an accent on platform readiness, technical requirements, certification, and performance. Focus on analyzing and resolving vendor issues, coordinating cross-functional validation and engineering work, and optimizing next-generation platform integrations.

Location: Taipei, Taiwan; hybrid work model with time split between the assigned Intel site and off-site work.

Company

Intel's Edge Computing Group enables external vendors to deliver hardware and software solutions for Intel platforms.

What you will do

  • Engage with hardware and software vendors to align technical requirements for platform solutions.
  • Evaluate vendors and ecosystem solutions during planning and develop enablement plans for platform readiness.
  • Create technical requirements documents, training materials, and other enablement collateral.
  • Provide hands-on technical support to analyze, test, debug, and resolve vendor and customer solution issues.
  • Collaborate with architects, silicon design, validation, engineering teams, and vendors to improve implementation, certification, and performance.
  • Ensure vendor solutions meet industry certification, compliance, regulatory, and performance requirements while contributing to technology roadmaps.

Requirements

  • Bachelor's degree in Electrical Engineering, Computer Science, Computer Engineering, or a related field plus 6+ years of experience in hardware/software ecosystem enablement; or a Master's degree plus 4+ years; or a PhD plus 2+ years.
  • Experience with vendor enablement processes, solution readiness, and ecosystem evaluation.
  • Strong knowledge of Edge and Edge AI platform architecture at the silicon, system, and software levels.
  • Proficiency in creating technical documentation and enablement materials.

Nice to have

  • Experience collaborating with architects, validation engineers, vendors, and other cross-functional teams.
  • Knowledge of industry standards and compliance certifications.
  • Strong analytical and problem-solving skills with attention to detail.
  • Excellent communication, technical documentation, and presentation abilities.
  • Experience with advanced debugging tools, hardware and software validation tools, and continuous validation pipelines.

Culture & Benefits

  • Hybrid work model combining on-site work at the assigned Intel site with off-site work.
  • Shift 1 schedule in Taiwan.
  • Full-time employment.
  • Employment consideration is provided without discrimination on legally protected grounds.

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