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Algorithm Intern

HYAB Youth Start-up Internship Programme (YSIP) 2025

Company Introduction

CloudNav AI is a pioneering low-altitude logistics solutions provider, specializing in AI-powered drone delivery for regional and island areas. Our proprietary language guided visual navigation system enables precise drone positioning, allowing users to select safe landing zones via AR or voice commands, eliminating the need for costly landing docks.

We focus on sub-25kg logistics, addressing critical challenges such as accurate navigation, safe landing recognition, and resilience in harsh conditions through advanced AI, real-time cloud collaboration, and stability-enhancing technology. Backed by a 52TB proprietary dataset, our on-device AI landing safety system ensures reliability, while our multi-terminal cloud platform allows seamless drone management via ground stations, smartphones, and laptops. Recognized by national media and industry leaders, CloudNav AI is redefining last-mile delivery efficiency. We partner with operators and drone manufacturers to build scalable, autonomous logistics networks, making drone delivery accessible and cost-effective.

Join us in shaping the future of aerial logistics.

Job Function

Technology Research and Development

Job Description

  • Develop and optimize AR-based UI algorithms for drone logistics system.
  • Implement real-time image processing and computer vision models for object detection and scene understanding.
  • Work on multi-modal interaction (vision-language models) to allow voice and gesture-based UI control.
  • Assist in on-device AI deployment, ensuring low-latency and efficient performance.

Work Mode

Full-time, Part-time, Mix-mode (remain consistent within a calendar month)

Work Location

Inno Centre

Preferred Academic Disciplines

Engineering, Sciences, Technology

Preferred Skills and Knowledge

  • Currently pursuing a Bachelor’s/Master’s/PhD in Computer Science, AI, Robotics, or a related field.
  • Background in computer science, software or other natural science or enginerring.
  • Familiarity with Python or C++, experience in OpenCV, PyTorch, Unity or Unreal Engine is a plus.