
Autonomous Geometric Vision Specialist
5 days 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 for our warehouse inventory management products.
This role involves working on the development and implementation of modules and pipelines to be deployed on both server and edge-based platforms, requiring innovative thinking to build optimal and efficient solutions.
Key Responsibilities:
- Design, development, and implementation of computer vision algorithms using classical and modern methods meant for real-time robot localization in an indoor warehouse setting.
- Contribution 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.
- Implementation of 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.
- Strong programming skills with an understanding of deep learning frameworks and workflow. Responsible for conducting thorough testing and debugging of code, ensuring reliability and robustness of pipeline implementations.
- Contribution 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.
- 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 programming skills. Responsible for conducting thorough testing and debugging of code, ensuring 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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