
Senior Computer Vision Specialist
2 weeks ago
We are seeking an exceptional Computer Vision Professional to join our dynamic team.
About the RoleThis is a unique opportunity to apply your expertise in 3D point cloud data processing, SLAM (Simultaneous Localization and Mapping), point cloud registration, camera-LiDAR calibration, and deep learning techniques to point cloud data.
Key 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 our 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 our computer vision applications under various operational conditions.
- Bachelor's, Master's or Ph.D. in Computer Science, Engineering, or related field with specialization in computer vision.
- 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.
- Strong expertise in deep learning frameworks, such as TensorFlow or PyTorch, and proficiency in programming languages like Python and C++.
- Extensive experience in optimizing computer vision algorithms for NVIDIA hardware, including GPUs and specialized accelerators (e.g., NVIDIA Tensor Cores).
- In-depth understanding of computer vision concepts, including image processing, feature extraction, object detection, and segmentation.
- A collaborative environment where innovation is encouraged and rewarded.
- Competitive salary and share options.
- Professional and personal growth opportunities and a chance to make a significant impact in infrastructure safety and efficiency.
This is an exciting opportunity to apply your skills to tackle real-world challenges and drive technological advancement.
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