Senior 3D Computer Vision Developer
5 days ago
About This Role:
\We are seeking a highly skilled 3D Computer Vision Engineer to join our team. The ideal candidate will have a strong background in 3D point cloud data processing, including experience with SLAM, point cloud registration, and camera-LiDAR calibration.
\About Your Responsibilities:
\- \
- Design and implement algorithms for 3D point cloud processing, object recognition, and segmentation.\
- Enhance and optimize SLAM algorithms for real-time application in mobile and static environments.\
- Integrate and optimize AI technologies such as Open3D and 2D+3D inference models into existing systems for improved 2D & 3D data analysis and visualization.\
- Collaborate with cross-functional teams to integrate new features into SpatialSense.\
- Conduct R&D to explore new techniques in computer vision and machine learning that can improve infrastructure monitoring.\
- Ensure the robustness and accuracy of computer vision applications under various operational conditions.\
- Design and develop computer vision algorithms and models for various applications, including object detection, image classification, segmentation, and tracking.\
- Optimize computer vision algorithms and models to leverage the power of NVIDIA hardware, such as GPUs and specialized accelerators (e.g., NVIDIA Tensor Cores).\
- Collaborate with hardware engineers and architects to explore and utilize the latest features and capabilities of NVIDIA hardware platforms.\
- Conduct performance profiling and benchmarking of computer vision algorithms on NVIDIA hardware to identify bottlenecks and optimize resource utilization.\
- Implement and integrate computer vision algorithms into end-to-end systems, ensuring scalability, robustness, and real-time performance on NVIDIA hardware.\
- Collaborate with researchers and academic partners to explore and evaluate state-of-the-art computer vision techniques and their application on NVIDIA hardware.\
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