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Computer Vision Engineer

  • ... Posted on: Mar 24, 2026
  • ... Vivid Resourcing
  • ... Roeselare, null
  • ... Salary: Not Available
  • ... Full-time

Computer Vision Engineer   

Job Title :

Computer Vision Engineer

Job Type :

Full-time

Job Location :

Roeselare null United States

Remote :

No

Jobcon Logo Job Description :

Job Title: Computer Vision Engineer (Classical Vision)Location: Near Roeselare, BelgiumIndustry: Automotive/Security SystemsCompany Overview:A fast-growing technology company operating at the intersection of automotive and security is developing advanced vision-based systems for real-world deployment. Their solutions focus on reliability, precision, and performance in safety-critical environments, combining embedded systems with high-performance image processing.Role Overview:We are looking for a Computer Vision Engineer with a strong foundation in classical (non-deep learning) vision techniques to join a multidisciplinary R&D team.You will work on the development and optimisation of vision algorithms used in automotive and security applications, where robustness, explainability, and real-time performance are key.Key Responsibilities:Design and implement classical computer vision algorithms for detection, tracking, and measurementWork with camera calibration, image correction, and 3D reconstruction techniquesDevelop solutions for object detection, motion analysis, and scene understanding using deterministic approachesOptimise algorithms for real-time performance on embedded systemsCollaborate closely with hardware and embedded teams to integrate vision pipelinesConduct testing, validation, and performance benchmarking in real-world environmentsContribute to system architecture and continuous improvement of the vision stackTech Stack:Languages: C++, PythonLibraries: OpenCV, EigenConcepts: Image filtering, segmentation, edge detectionCamera calibration & geometric transformationsRequirements:Master’s or PhD in Computer Vision, Computer Science, Robotics, Physics, or similarStrong experience with classical computer vision (non-AI-based) methodsSolid programming skills in C++ (performance-focused development)Experience working with real-world imaging systems (cameras, lenses, sensors)Understanding of mathematics behind vision algorithms (linear algebra, geometry)What’s on Offer:Work on real-world, safety-critical systems with tangible impactHighly technical, engineering-driven environmentClose collaboration between software, hardware, and systems teamsCompetitive salary and benefits packageLong-term growth within a specialised vision engineering teamIf you're interested, please apply directly or contact me on the below details for more information:+32 33 18 54

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Jobcon Logo Position Details

Posted:

Mar 24, 2026

Reference Number:

25975_4389229332

Employment:

Full-time

Salary:

Not Available

City:

Roeselare

Job Origin:

APPCAST_CPC

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Job Title: Computer Vision Engineer (Classical Vision)Location: Near Roeselare, BelgiumIndustry: Automotive/Security SystemsCompany Overview:A fast-growing technology company operating at the intersection of automotive and security is developing advanced vision-based systems for real-world deployment. Their solutions focus on reliability, precision, and performance in safety-critical environments, combining embedded systems with high-performance image processing.Role Overview:We are looking for a Computer Vision Engineer with a strong foundation in classical (non-deep learning) vision techniques to join a multidisciplinary R&D team.You will work on the development and optimisation of vision algorithms used in automotive and security applications, where robustness, explainability, and real-time performance are key.Key Responsibilities:Design and implement classical computer vision algorithms for detection, tracking, and measurementWork with camera calibration, image correction, and 3D reconstruction techniquesDevelop solutions for object detection, motion analysis, and scene understanding using deterministic approachesOptimise algorithms for real-time performance on embedded systemsCollaborate closely with hardware and embedded teams to integrate vision pipelinesConduct testing, validation, and performance benchmarking in real-world environmentsContribute to system architecture and continuous improvement of the vision stackTech Stack:Languages: C++, PythonLibraries: OpenCV, EigenConcepts: Image filtering, segmentation, edge detectionCamera calibration & geometric transformationsRequirements:Master’s or PhD in Computer Vision, Computer Science, Robotics, Physics, or similarStrong experience with classical computer vision (non-AI-based) methodsSolid programming skills in C++ (performance-focused development)Experience working with real-world imaging systems (cameras, lenses, sensors)Understanding of mathematics behind vision algorithms (linear algebra, geometry)What’s on Offer:Work on real-world, safety-critical systems with tangible impactHighly technical, engineering-driven environmentClose collaboration between software, hardware, and systems teamsCompetitive salary and benefits packageLong-term growth within a specialised vision engineering teamIf you're interested, please apply directly or contact me on the below details for more information:+32 33 18 54

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