
Expert Geometric Vision Algorithm Developer
3 days ago
Advanced Computer Vision Expert
We are seeking a skilled and enthusiastic computer vision engineer to play a pivotal role in the development and implementation of cutting-edge geometric vision algorithms, localization and SLAM algorithms for our state-of-the-art warehouse inventory management products.
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. It requires thinking out-of-the-box to build modules that are both optimal and efficient.
The ideal candidate will have strong Python programming skills with an understanding of deep learning frameworks and workflow. They should be able to conduct thorough testing and debugging of Python code, ensuring the reliability and robustness of pipeline implementations.
In addition, the candidate should have hands-on experience in computer vision and machine learning projects, solving real-world problems involving vision tasks. They should also be able to understand problem statements and implement and test new ideas under supervision.
Responsibilities:
- Designing, developing, and implementing on-board computer vision algorithms using both classical and modern methods meant for real-time robot localization in an indoor warehouse setting.
- Contributing 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.
- Implementing 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.
- Contributing to the product architecture, making decisions on sensor selections, and deploying solutions in various customer sites and gauging system efficiency on a day-to-day basis.
Key Requirements:
- A 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.
Benefits:
- Work collaboratively in a team and communicate effectively.
Others:
- Collaborate across departments to achieve common goals.
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