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Embedded AI Engineering Intern

Формат работы
onsite
Тип работы
fulltime
Грейд
trainee
Английский
b2
Страна
Singapore
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
Embedded AI Engineering Intern (AI/FPGA/MCU): Evaluating and deploying machine-learning inference solutions on FPGA-based systems and modern MCUs with an accent on latency, memory, power, and accuracy constraints. Focus on implementing embedded AI solutions, benchmarking hardware platforms, and analyzing optimization trade-offs.

Location: Singapore

Company

hirify.global is an automotive technology and electronics company developing sensor solutions, displays, braking and comfort systems, software, architecture platforms, and assistance systems for software-defined vehicles.

What you will do

  • Evaluate common AI/ML models under embedded latency, memory, power, and accuracy constraints.
  • Propose and implement embedded AI solutions for FPGA or MCU platforms.
  • Deploy and benchmark AI inference on FPGA-based systems and up-to-date MCUs.
  • Analyze trade-offs between hardware platforms and optimization approaches.
  • Document results and prepare clear technical summaries.

Requirements

  • Bachelor’s or Master’s student in Electrical Engineering, Computer Engineering, Computer Science, or a related field.
  • Programming experience in C/C++.
  • Basic understanding of machine learning and embedded systems.
  • Interest or exposure to FPGA- or MCU-based AI acceleration.

Nice to have

  • Python programming experience.

Culture & Benefits

  • Opportunity to contribute to technologies for safe, connected, and autonomous mobility.
  • Work within an independent automotive technology and electronics company with operations in more than 100 locations worldwide.

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