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3 дня назад

PhD Internship – AI Processor Architecture (Edge Applications)

Формат работы
onsite
Тип работы
fulltime
Английский
b2
Страна
Germany
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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TL;DR

PhD Internship – AI Processor Architecture (Edge Applications): Conducting research and development of AI processor architectures for edge applications, with an accent on heterogeneous accelerator designs and co-design of hardware, software, and tools for real-time, safety-critical systems. Focus on shaping embedded intelligence in robotics, automotive (ADAS), and industrial automation, and gaining hands-on experience with real silicon and industrial software stacks.

Location: Onsite in Hamburg, Germany

Company

hirify.global is a product company with a vibrant, international R&D team focused on AI processor architecture for edge applications in domains like robotics, automotive (ADAS), and industrial automation.

What you will do

  • Contribute to academic advancement and the development of AI-enabled edge device technologies.
  • Collaborate with fellow PhD students, Technical Directors, and NXP Fellows.
  • Gain hands-on experience with real silicon and state-of-the-art industrial software stacks for machine learning.
  • Actively support publications, academic exchange, and open innovation.
  • Research heterogeneous accelerator architectures for robotics, ADAS, and industrial AI.
  • Co-design hardware, software, and tools for real-time, safety-critical systems.

Requirements

  • PhD student in Computer Engineering, Electrical Engineering, or a related field.
  • Enrolled at a university that supports internships during the PhD.
  • Strong interest in real-time systems, embedded AI, and heterogeneous computing.
  • Experience with hardware design (e.g., RTL, HLS, FPGA, ASIC).
  • Conscious and reliable way of working due to security-related tasks and certifications.

Nice to have

  • Familiarity with AI workloads in physical or embedded systems.

Culture & Benefits

  • Work in a collaborative, research-driven environment.
  • Contribute to products with global reach, powering billions of AI-enabled edge devices.
  • Access to cutting-edge tools and silicon.
  • Support for academic publishing and conference participation.

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