Senior Computer Vision Calibration Specialist

Agile Enterprise Coach , London

Abu Dhabi

Remote

AED 180,000 - 300,000

Full time

3 days ago
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Benefits offered by this job

100% remote
Professional development
International team

Job summary

Agile Enterprise Coach in London is seeking a Senior Computer Vision Calibration Specialist to design, validate, and optimize calibration pipelines for camera systems, including intrinsic/extrinsic parameters, distortion correction, and multi‑camera setups. You will implement robust validation workflows and coordinate with global engineering teams.

This fully remote role offers exposure to advanced CV projects, continuous learning, and opportunities to contribute to imaging technology

Qualifications

  • Bachelor's or master's degree in Computer Science, Computer Vision, Robotics, Electrical Engineering, Applied Mathematics, or a related discipline.
  • Significant professional experience in camera calibration, computer vision, image processing, or imaging systems engineering.
  • Strong understanding of camera geometry, projective transformations, coordinate systems, and geometric optics.
  • Practical experience with intrinsic and extrinsic camera calibration.
  • Proficiency in Python or C++ and relevant computer vision libraries.

Responsibilities

  • Develop and maintain calibration algorithms for cameras, imaging systems, and computer vision applications.
  • Estimate camera intrinsic parameters, including focal length, principal point, and lens distortion coefficients.
  • Perform mathematical modeling and validation of camera extrinsic parameters and coordinate transformations.
  • Develop calibration workflows for single-camera, stereo-camera, and multi-camera configurations.
  • Apply geometric calibration techniques using checkerboard patterns, calibration targets, and feature-based methods.
  • Implement lens distortion correction, image rectification, and geometric image transformation procedures.
  • Analyze calibration accuracy using reprojection error and other relevant performance metrics.
  • Develop algorithms for stereo calibration, depth estimation, and camera alignment.
  • Evaluate calibration stability under variations in image resolution, lens characteristics, and environmental conditions.
  • Investigate calibration errors, parameter inconsistencies, and deviations in image geometry.
  • Develop automated calibration validation scripts and quality assurance frameworks.
  • Apply computer vision and optimization techniques to improve calibration accuracy and computational efficiency.
  • Conduct simulation-based calibration testing and analyze recorded image datasets.
  • Collaborate with computer vision engineers, robotics specialists, machine learning teams, and software developers.
  • Establish calibration standards, technical specifications, and repeatable validation procedures.
  • Maintain documentation covering calibration models, parameter configurations, test results, and technical limitations.
  • Monitor algorithm performance and recommend improvements to calibration workflows.
  • Provide remote technical guidance and analytical support to authorized personnel conducting any required physical camera measurements or equipment adjustments.

Skills

Python
C++
OpenCV
Camera calibration
Math & optimization
Remote collaboration

Education

Bachelor's/Master's in relevant field

Tools

OpenCV

Job description

Job Title: Senior Computer Vision Calibration Specialist

Location: United Arab Emirates (Remote)

Employment Type: Full-Time

Work Arrangement: 100% Remote — Work From Home

Level: Senior

About the Role

We are seeking an experienced Senior Computer Vision Calibration Specialist to develop, validate, and optimize calibration methodologies for computer vision systems, imaging devices, and camera-based applications. The successful candidate will focus on camera geometry, lens distortion correction, image alignment, intrinsic and extrinsic parameter estimation, and multi-camera calibration. This fully remote role involves algorithm development, calibration data analysis, simulation, performance validation, and technical coordination with engineering teams.

Key Responsibilities
  • Develop and maintain calibration algorithms for cameras, imaging systems, and computer vision applications.
  • Estimate camera intrinsic parameters, including focal length, principal point, and lens distortion coefficients.
  • Perform mathematical modeling and validation of camera extrinsic parameters and coordinate transformations.
  • Develop calibration workflows for single-camera, stereo-camera, and multi-camera configurations.
  • Apply geometric calibration techniques using checkerboard patterns, calibration targets, and feature-based methods.
  • Implement lens distortion correction, image rectification, and geometric image transformation procedures.
  • Analyze calibration accuracy using reprojection error and other relevant performance metrics.
  • Develop algorithms for stereo calibration, depth estimation, and camera alignment.
  • Evaluate calibration stability under variations in image resolution, lens characteristics, and environmental conditions.
  • Investigate calibration errors, parameter inconsistencies, and deviations in image geometry.
  • Develop automated calibration validation scripts and quality assurance frameworks.
  • Apply computer vision and optimization techniques to improve calibration accuracy and computational efficiency.
  • Conduct simulation-based calibration testing and analyze recorded image datasets.
  • Collaborate with computer vision engineers, robotics specialists, machine learning teams, and software developers.
  • Establish calibration standards, technical specifications, and repeatable validation procedures.
  • Maintain documentation covering calibration models, parameter configurations, test results, and technical limitations.
  • Monitor algorithm performance and recommend improvements to calibration workflows.
  • Provide remote technical guidance and analytical support to authorized personnel conducting any required physical camera measurements or equipment adjustments.
Qualifications and Experience
  • Bachelor's or master's degree in Computer Science, Computer Vision, Robotics, Electrical Engineering, Applied Mathematics, or a related discipline.
  • Significant professional experience in camera calibration, computer vision, image processing, or imaging systems engineering.
  • Strong understanding of camera geometry, projective transformations, coordinate systems, and geometric optics.
  • Practical experience with intrinsic and extrinsic camera calibration.
  • Proficiency in Python or C++ and relevant computer vision libraries.
  • Experience using OpenCV or equivalent computer vision frameworks.
  • Knowledge of lens distortion models, stereo vision, image rectification, and multi-camera calibration.
  • Understanding of optimization techniques, numerical methods, and reprojection error analysis.
  • Familiarity with calibration patterns, feature detection, image registration, and geometric validation.
  • Experience analyzing image and video datasets for calibration accuracy assessment.
  • Knowledge of robotics, autonomous systems, or machine vision applications is advantageous.
  • Familiarity with simulation environments and automated testing frameworks.
  • Strong analytical reasoning, mathematical problem-solving, and attention to detail.
  • Excellent technical documentation and communication skills.
  • Ability to work independently and coordinate effectively with international engineering teams in a fully remote environment.
What We Offer
  • 100% remote working arrangement within the stated employment framework.
  • Competitive compensation based on qualifications and professional experience.
  • Opportunities to contribute to advanced computer vision and imaging technology projects.
  • Professional development and continuous learning opportunities.
  • Collaborative environment with international and multidisciplinary engineering teams.
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