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В Intel это понятная senior-роль в растущей сфере Edge AI с практической работой над платформами и взаимодействием с вендорами; при этом широкий круг координационных задач и нехватка деталей о повседневной инженерной работе оставляют вопросы о балансе задач.
?Много координации
Сфера Edge AI
Крупный технобренд
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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Ecosystem Technical Enabling Engineer (Edge AI): Enabling hardware and software vendor solutions for Intel platforms with an accent on ecosystem evaluation, technical requirements, and platform readiness. Focus on coordinating debugging and certification, developing enablement collateral, and validating compliance and performance across hardware and software systems.
Location: Taipei, Taiwan; hybrid work model with time split between the assigned Intel site and off-site work
Company
Intel's Client Computing Group, within the Edge Computing Group, enables hardware and software vendor solutions for optimized readiness on Intel platforms.
What you will do
Define and align technical requirements with hardware and software vendors supporting Intel platforms.
Evaluate vendors and ecosystem solutions for compatibility and develop enablement plans for platform readiness.
Author technical requirements, training materials, and other enablement collateral.
Provide hands-on technical support for testing, debugging, issue resolution, and customer solution coordination.
Collaborate with architects, silicon design, validation, and engineering teams on platform implementation and certification.
Support compliance, performance benchmarking, regulatory qualification, roadmap planning, and emerging technology evaluation.
Requirements
Bachelor's degree in Electrical Engineering, Computer Science, Computer Engineering, or a related field with 6+ years of experience in hardware/software ecosystem enablement; or a Master's degree with 4+ years; or a PhD with 2+ years.
Experience with vendor enablement processes, solution readiness, and ecosystem evaluation.
Strong knowledge of Edge and Edge AI platform architecture at 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, problem-solving, communication, documentation, and presentation skills.
Experience with advanced debugging tools, hardware and software validation tools, and continuous validation pipelines.
Culture & Benefits
Full-time employment as an experienced hire.
Hybrid work model combining on-site work at the assigned Intel site with off-site work.
Shift 1 schedule in Taiwan.
Employment practices comply with local equal-opportunity and responsible hiring requirements.
No recruitment, medical examination, or other hiring fees are charged to candidates.
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