
Computer Vision Systems Engineer
22 hours ago
Develop advanced computer vision algorithms to drive innovation in warehouse inventory management. This role involves implementing Python-based modules and pipelines for server and edge-based platforms, focusing on optimizing module performance.
This opportunity encompasses the development of computer vision systems using classical and modern methods, targeting real-time robot localization in an indoor setting. The ideal candidate will contribute to geometric vision tasks such as dense/sparse 3D reconstruction, multiview pose estimation, RGBD fusion, 3D object detection, and 3D dimensioning.
Key Responsibilities:
- Design, develop, and implement onboard computer vision algorithms for real-time robot localization.
- Contribute to geometric vision algorithms involving 3D tasks, including dense/sparse 3D reconstruction and 3D object detection.
- Implement sensor fusion techniques to integrate data from multiple sensors like LIDAR, Cameras, IMU, and ToF, enhancing vehicle navigation accuracy and robustness.
Required Skills and Qualifications:
- Strong Python programming skills with deep learning framework knowledge.
- Fundamental understanding of physics and robotics systems, including ROS, 3D simulations, and sensor fusion-based navigation algorithms.
- Proven experience in developing Navigation and Localization algorithms for autonomous vehicles, robotics, drones, or similar applications.
- Hands-on experience in computer vision, visual odometry, and SLAM projects, solving vision, navigation, and localization-related challenges.
- Deep mathematical foundations with knowledge of 3D Multi-view Geometry, Advanced Linear Algebra, Numerical Optimization, etc.
Benefits:
- Opportunity to work collaboratively in a team environment.
- Capability to communicate effectively and maintain comprehensive documentation of code, algorithms, and pipelines.
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