3D Point Cloud Software Engineer
職務内容
We're Hiring: Point Cloud Software Engineer (Cloudman Air)
- Location: Tokyo, Japan (on-site only)
- Company: Vitom Inc.
- Industry: Point cloud visualizer, Digital Twin, Spatial intelligence
Join Us in Building the Future of Spatial Intelligence
At Vitom, we are developing cutting-edge technologies that transform real-world environments into intelligent digital assets. Our flagship platform, Cloudman Air, enables users to process, analyze, visualize, and extract actionable insights from large-scale 3D point clouds captured by LiDAR, mobile mapping systems, robots, drones, and autonomous platforms.
We are looking for a passionate Point Cloud Software Engineer to help us build next-generation tools for 3D spatial analysis and digital twin applications.
What You'll Do
- Develop advanced algorithms for point cloud processing and analysis
- Build tools for feature extraction, segmentation, classification, and measurement
- Develop visualization and editing functions for large-scale 3D datasets
- Create workflows for automatic generation of:
- Cross-sections
- CAD deliverables
- Asset inventories
- Inspection reports
- Optimize performance for billion-point datasets
- Work closely with our SLAM, robotics, and AI teams
- Contribute to Cloudman Air's roadmap as a core product developer
Technologies We Use
- C++
- Python
- Django
- Potree/Cesium
- Open3D and PCL (Point Cloud Library)
- ROS2 (optional)
Preferred Experience
- 3D geometry processing
- LiDAR mapping systems
- GIS or geospatial applications
- Digital twin platforms
- Mesh generation and reconstruction
- GPU acceleration
About Vitom
Vitom is a Spatial Intelligence company developing proprietary technologies including:
- vitomSLAM
- Cloudman Air
- 3D scanners
- Autonomous mapping and inspection solutions
- Industrial Digital Twin platforms
Our mission is to bridge the physical and digital worlds through intelligent spatial data.
Interested? Send your CV, GitHub profile, or portfolio to info@vitom-tech.com as well.
Let's build the future of 3D spatial intelligence together.
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