Computer Vision Engineer

6 Months ago • 3-5 Years • Research & Development

Job Summary

Job Description

Experienced Computer Vision Engineer needed for cutting-edge 3D vision projects. Must have proficiency in camera calibration, stereo vision, multi-view geometry, 3D reconstruction, and strong programming skills in C++ and Python.
Must have:
  • Camera Calibration
  • Stereo Vision
  • Multi-view Geometry
  • 3D Reconstruction
Good to have:
  • OpenCV, PCL
  • Deep Learning
  • TensorFlow, PyTorch
  • Research Initiatives

Job Details

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

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