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10 дней назад

LiDAR & Visual SLAM Engineer

Формат работы
onsite
Тип работы
fulltime
Грейд
middle
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
LiDAR & Visual SLAM Engineer (AI/Robotics): Developing LiDAR and visual SLAM algorithms for a reality capture product line with an accent on sensor fusion, calibration, point cloud processing, and panoramic camera stitching. Focus on processing large-scale scans, optimizing algorithm speed, and integrating research algorithms into production robotics products.

Location: Singapore, on-site

Company

AI and robotics company developing technology solutions and a reality capture product line.

What you will do

  • Develop state-of-the-art SLAM algorithms using LiDAR, IMU, cameras, and sensor-fusion techniques.
  • Build sensor calibration, point cloud processing, denoising, panoramic camera stitching, and other sensor-processing algorithms.
  • Ensure algorithms can process large-scale scans and optimize them for faster execution.
  • Contribute to point cloud research and development initiatives.
  • Collaborate with stakeholders to integrate algorithms into the product line and define product and development roadmaps.

Requirements

  • Bachelor’s, master’s, or PhD in Computer Science, Electrical Engineering, or Mechanical Engineering, with a focus on robotics, computer vision, or point cloud processing.
  • 3–5 years of experience in SLAM, point cloud processing, and computer vision.
  • Strong foundation in point cloud processing and computer vision.
  • Proficiency in modern C++17 or later and experience working with large codebases.
  • Ability to work independently and collaboratively while completing tasks on time.

Nice to have

  • Experience with Jetson or embedded programming.

Culture & Benefits

  • Full-time, on-site work in Singapore.
  • Collaborative work with stakeholders across product development and research.
  • Opportunities to contribute to AI, robotics, and reality capture technology.

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