
Geometric Vision Developer
2 weeks ago
We are seeking a skilled and enthusiastic engineer to play a pivotal role in the development and implementation of advanced geometric vision algorithms, localization, and SLAM algorithms.
This role involves working on the development and implementation of Python-based modules and pipelines to be deployed on both server and edge-based platforms, requiring thinking out-of-the-box to build modules that are both optimal and efficient.
Key Responsibilities:
- Design, develop, and implement on-board computer vision algorithms using classical and modern methods for real-time robot localization in an indoor warehouse setting.
- Contribute to geometric vision algorithms involving 3D computer vision tasks such as dense/sparse 3D reconstruction, Multiview pose estimation, RGBD fusion, 3D object detection, and 3D dimensioning.
- Implement sensor fusion techniques to integrate data from multiple sensors such as LIDAR, Cameras, IMU, and ToF to enhance the accuracy and robustness of vehicle navigation.
- Develop strong Python programming skills with an understanding of deep learning frameworks and workflow, responsible for conducting thorough testing and debugging of Python code, ensuring the reliability and robustness of pipeline implementations.
- Contribute to the product architecture, make decisions on sensor selections, and deploy solutions in various customer sites and gauge system efficiency on a day-to-day basis.
- Ownership of the development and implementation of pipelines for computer vision and machine learning algorithms and packaging software for efficiency.
- Hands-on experience in computer vision and machine learning projects, solving real-world problems involving vision tasks.
- Ability to understand problem statements and implement and test new ideas under supervision.
- Maintain comprehensive documentation of code, algorithms, and pipelines.
- Capability to work collaboratively in a team and communicate effectively.
Requirements:
- Strong Python programming skills. Responsible for conducting thorough testing and debugging of Python code, ensuring the reliability and robustness of pipeline implementations.
- Strong foundation in 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, maritime vehicles, or similar applications.
- Hands-on experience in computer vision (classical and modern), visual odometry, and SLAM projects, solving real-world problems involving vision, navigation, and localization tasks.
- Deep mathematical foundations with knowledge of 3D Multi-view Geometry, Advanced Linear Algebra, Numerical Optimization, etc.
- Deep insights into depth cameras and 3D data characteristics.
- Ownership of the development and implementation of modules for computer vision and packaging software for efficiency.
- Maintain comprehensive documentation of code, algorithms, and pipelines.
- Capability to work collaboratively in a team and communicate effectively.
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