
Principal Computer Vision Specialist
3 days ago
We are seeking a skilled and enthusiastic Computer Vision expert to play a pivotal role in the development and implementation of advanced geometric vision algorithms, localization, and SLAM algorithms for 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 optimal and efficient modules.
Key Responsibilities:
- Design, development, and implementation of onboard computer vision algorithms using classical and modern methods 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 like LIDAR, cameras, IMU, and ToF to enhance accuracy and robustness of vehicle navigation.
- Strong Python programming skills with understanding of deep learning frameworks and workflow. Conducting thorough testing and debugging of Python code ensures reliability and robustness of pipeline implementations.
- Contribution to product architecture, making decisions on sensor selections, and deployment of solutions in various customer sites. 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.
Role Requirements:
- At least 3 years of work experience in a similar background (Computer Vision, 3D Geometry, Localization).
- Strong Python programming skills. Conduct thorough testing and debugging of Python code to ensure reliability and robustness of pipeline implementations.
- 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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