
Computer Vision Specialist
2 weeks ago
Robotics Engineer
About the Role:We are seeking a skilled and enthusiastic computer vision professional to play a pivotal role in the development and implementation of advanced geometric vision algorithms, localization, and SLAM technology for our state-of-the-art warehouse inventory management solutions.
The ideal candidate will have 3+ years of work experience in a similar background, with strong Python programming skills, and a solid foundation in physics and robotics systems, including ROS, 3D simulations, and sensor fusion based navigation algorithms.
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.
- 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.
- Able 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.
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