
Visionary Infrastructure Intelligence Specialist
3 days ago
About Kodifly: Transforming the Future of Infrastructure Monitoring
Kodifly is at the forefront of pioneering spatial intelligence solutions. Based in Hong Kong Science Park and backed by initiatives like HKAI Lab and the Nvidia Inception program, we specialize in 3D point cloud processing, digital twin creation, and cutting-edge LiDAR technology. Our flagship product, SpatialSense, integrates these technologies to provide real-time, actionable insights enhancing infrastructure projects.
Key Responsibilities:
- Develop novel algorithms for 3D point cloud processing, object recognition, and segmentation.
- Optimize SLAM algorithms for real-time application in mobile and static environments.
- Integrate AI technologies such as Open3D and 2D+3D inference models into our existing systems for improved data analysis and visualization.
- Collaborate with cross-functional teams to integrate new features into SpatialSense.
- Explore new techniques in computer vision and machine learning to improve infrastructure monitoring.
- Evaluate and enhance the robustness and accuracy of our computer vision applications under various operational conditions.
- Design and develop computer vision algorithms and models for object detection, image classification, segmentation, and tracking.
- Leverage NVIDIA hardware to optimize computer vision algorithms and models.
- Conduct performance profiling and benchmarking of computer vision algorithms on NVIDIA hardware.
- Implement end-to-end systems ensuring scalability, robustness, and real-time performance on NVIDIA hardware.
Skill Requirements:
- Strong background in 3D point cloud data processing, including experience with SLAM, point cloud registration, and camera-LiDAR calibration.
- Proficiency in applying deep learning methods to point cloud data.
- Expertise in deep learning frameworks, such as TensorFlow or PyTorch, and proficiency in programming languages like Python and C++.
- In-depth understanding of computer vision concepts, including image processing, feature extraction, object detection, and segmentation.
- Hands-on experience with NVIDIA CUDA and cuDNN libraries, as well as frameworks like TensorRT for efficient deployment on NVIDIA hardware.
We Offer:
- A collaborative environment where innovation is encouraged and rewarded.
- Competitive salary and share options.
- Professional growth opportunities and a chance to make a significant impact in infrastructure safety and efficiency.
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