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10 часов назад

Edge AI Field Application Engineer Intern (AI)

Формат работы
onsite
Тип работы
fulltime
Грейд
trainee
Английский
b2
Страна
China
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
Edge AI Field Application Engineer Intern (AI): Developing and debugging Edge AI proof-of-concept applications and demos based on NXP processors, AI accelerators, and software platforms with an accent on embedded AI prototyping and emerging AI technologies. Focus on exploring Generative AI, LLMs, and AI agents, and building productivity tools for Field Applications Engineering workflows.

Location: Shanghai (Pudong), China

Company

hirify.global develops semiconductor platforms, processors, AI accelerators, and related software for embedded and Edge AI applications.

What you will do

  • Develop and debug Edge AI applications and proof-of-concept projects based on NXP processors, AI accelerators, and software platforms.
  • Work with Field Applications Engineering engineers to create technical applications and demonstrations.
  • Investigate Generative AI, LLMs, AI agents, and related tools.
  • Evaluate, prototype, and implement AI-based tools to improve team productivity and efficiency.

Requirements

  • Currently pursuing a Bachelor's, Master's, or Ph.D. degree in Computer Science, Computer Engineering, Artificial Intelligence, Electrical Engineering, or a related discipline.
  • Strong interest in AI technologies, particularly Edge AI, with familiarity with machine learning frameworks, AI models, or AI development tools.
  • Programming experience with C, C++, and/or Python.
  • Familiarity with Linux and embedded software or hardware development is beneficial.
  • Strong problem-solving skills and willingness to explore and learn new technologies.

Nice to have

  • Fluent English communication skills in reading, writing, listening, and speaking.

Culture & Benefits

  • Full-time internship within the Field Applications Engineering team.
  • Hands-on work with Edge AI platforms, processors, AI accelerators, and embedded technologies.
  • Opportunity to explore emerging AI technologies through practical prototypes and demonstrations.

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