
Computer Vision Software Engineer
6 days ago
About Us:
\We are at the forefront of transforming infrastructure monitoring through advanced spatial intelligence. Our flagship product integrates 3D point cloud processing, digital twin creation, and cutting-edge LiDAR technology to provide real-time insights that enhance safety, efficiency, and sustainability of infrastructure projects.
\About Your Qualifications:
\- \
- 3+ years of experience.\
- Bachelors, Masters or Ph.D. in Computer Science, Engineering, or related field with a 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.\
- Hands-on experience with NVIDIA CUDA and cuDNN libraries, as well as frameworks like TensorRT for efficient deployment on NVIDIA hardware.\
- Knowledge of parallel computing principles and GPU programming techniques is a plus.\
- Familiarity with computer vision libraries and tools, such as OpenCV, Dlib, or PCL.\
- Strong problem-solving and analytical skills, with the ability to optimize algorithms for performance and accuracy on NVIDIA hardware.\
- Experience with ROS software and methodologies.\
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