
Transforming Infrastructure Through Advanced Spatial Intelligence
2 weeks ago
About us:
We are a pioneering technology company at the forefront of transforming infrastructure monitoring through advanced spatial intelligence.
Based in Hong Kong Science Park, we specialize in cutting-edge 3D point cloud processing, digital twin creation, and LiDAR technology.
Our flagship product integrates these technologies to provide real-time insights that enhance safety, efficiency, and sustainability of infrastructure projects.
Responsibilities:- Design and implement algorithms for 3D point cloud processing, object recognition, and segmentation.
- Enhance and optimize SLAM algorithms for real-time applications in mobile and static environments.
- Integrate AI technologies such as Open3D and inference models into our systems for better data analysis and visualization.
- Collaborate with cross-functional teams to integrate new features into our product.
- Conduct R&D to explore new techniques in computer vision and machine learning.
- Ensure the robustness and accuracy of computer vision applications under various operational conditions.
- Design and develop computer vision algorithms for object detection, classification, segmentation, and tracking.
- Optimize algorithms for NVIDIA hardware, including GPUs and Tensor Cores.
- Collaborate with hardware engineers to utilize the latest NVIDIA platform capabilities.
- Profile and benchmark performance on NVIDIA hardware to identify and resolve bottlenecks.
- Implement and deploy algorithms ensuring real-time performance and scalability.
- Bachelor's, Master's, or Ph.D. in Computer Science, Engineering, or a related field with a specialization in Computer Vision.
- Strong background in 3D point cloud processing, SLAM, point cloud registration, and camera-LiDAR calibration.
- Proficiency in applying deep learning to point cloud data.
- Experience with deep learning frameworks like TensorFlow or PyTorch.
- Skilled in Python and C++ programming.
- Hands-on experience with NVIDIA CUDA, cuDNN, and TensorRT.
- Strong understanding of computer vision concepts such as image processing, feature extraction, object detection, and segmentation.
- Knowledge of OpenCV, PCL, or Dlib.
- Experience with parallel computing and GPU programming is a plus.
- Experience with ROS is highly preferred.
- Strong analytical and problem-solving skills.
- Excellent communication skills and a collaborative mindset.
- Opportunity to work with cutting-edge technologies in a rapidly evolving field.
- A collaborative and innovative environment across Pakistan and Hong Kong.
- Competitive salary and share options.
- Significant professional growth and a chance to impact real-world infrastructure safety and efficiency.
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