
Principal Computer Vision Specialist
1 week ago
**Role Overview:**
We are seeking a skilled and enthusiastic Computer Vision Engineer 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 involves working on the development and implementation of Python-based modules and pipelines to be deployed on both server and edge-based platforms. Thinking out-of-the-box is required to build optimal and efficient modules.
Key Requirements:
- Design and implement onboard 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 accuracy and robustness of vehicle navigation.
- Strong Python programming skills with an understanding of deep learning frameworks and workflow. Conduct thorough testing and debugging of Python code to ensure reliability and robustness of pipeline implementations.
- Contribute to product architecture, make decisions on sensor selections, and deploy solutions in various customer sites to gauge system efficiency on a day-to-day basis.
- Ownership of developing and implementing 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.
**Ideal Candidate Profile:**
3+ years of work experience in a similar background (Computer Vision, 3D Geometry, Localization).
**Must-Have Skills:**
- Strong Python programming skills. Conduct thorough testing and debugging of Python code to ensure 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 developing and implementing 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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