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

3-5 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 tasks

Computer Vision Engineer