
Robotics Software Architect
1 week ago
Job Description:
We are seeking a skilled Computer Vision Engineer to play a pivotal role in the development and implementation of advanced 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.
Key Responsibilities:
- Design, development, and implementation of on-board computer vision algorithms using both classical and modern methods meant 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.
- Develop and implement efficient computer vision and machine learning algorithms and pipelines using Python.
- Maintain comprehensive documentation of code, algorithms, and pipelines.
Requirements:
- Strong Python programming skills with an understanding of deep learning frameworks and workflow.
- 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.
- Capability to work collaboratively in a team and communicate effectively.
Preferred Qualifications:
- Experience in developing and implementing computer vision and machine learning algorithms and pipelines using Python.
- Knowledge of sensor fusion techniques and their applications in vehicle navigation.
- Understanding of 3D computer vision tasks and their applications in warehouse inventory management.
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