Computer Vision Engineer
Job Description
- OpenCV, PCL
- Deep Learning
- TensorFlow, PyTorch
- Research Initiatives
- Camera Calibration
- Stereo Vision
- Multi-view Geometry
- 3D Reconstruction
About the job
About the Role:
We are seeking an experienced Computer Vision Engineer to join our team and contribute to cutting-edge projects in 3D vision and reconstruction. The ideal candidate will have a strong background in camera calibration, stereo vision, multi-view geometry, and 3D reconstruction techniques.
Key Responsibilities
● Develop and implement advanced computer vision algorithms for 3D reconstruction and analysis ● Design and optimize camera calibration procedures for various imaging systems
● Create robust stereo vision solutions for depth estimation and object localization
● Implement multi-view geometry techniques for scene understanding and 3D modeling
● Develop efficient triangulation methods for 3D point cloud generation
● Collaborate with cross-functional teams to integrate computer vision solutions into larger systems
● Stay current with the latest advancements in computer vision and contribute to research initiatives
Required Qualifications
● Bachelors in Computer Science, Computer Engineering, or a related field
● 3+ years of experience in computer vision, with a focus on 3D vision techniques
● Strong proficiency in camera calibration methods and tools
● Extensive experience with stereo vision algorithms and epipolar geometry
● In-depth knowledge of multi-view geometry and structure-from-motion techniques
● Proven track record in developing 3D reconstruction pipelines
● Expert-level programming skills in C++ and Python
● Experience with OpenCV, PCL, or similar computer vision libraries
● Familiarity with deep learning frameworks (e.g., TensorFlow, PyTorch) for vision task
