Computer Vision Engineer – VisionAI

September 11, 2026
Application ends: December 10, 2026
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Job Description

Responsibilities, Duties And Expectations 

  • Design, implement, benchmark, and optimise computer vision algorithms to enhance detection, classification, and tracking capabilities
  • Develop and adapt software interfaces to support the integration of new camera models and configurations.
  • Collaborate with cross-functional teams to define technical requirements and ensure seamless integration of computer vision solutions

Qualifications, Experience And Skills 

  • Bachelor’s degree in Computer Science, Engineering, or equivalent practical experience
  • More than 3 years of experience in software engineering
  • Proficiency in C++ development, including multi-threading, unit testing, benchmarking, and profiling
  • Experience programming in Python is required, and familiarity with Golang is preferred
  • Experience with computer vision libraries (e.g. OpenCV) or integrating AI models (e.g. ONNX, TensorRT)
  • Experience integrating cameras or similar sensors (e.g., LiDAR, thermal cameras)
  • Experience programming control algorithms for electromechanical systems is preferred
  • Experience with edge computing or embedded systems for real-time applications (e.g. NVIDIA GPUs, CUDA, GStreamer)
  • Experience modelling dynamic systems with mathematical representations using first-principles and system identification techniques is preferred
  • Knowledge of object tracking algorithms (e.g., Kalman filters, optical flow) and/or control theory is preferred
  • Experience with version control systems (e.g., Git) and workflow automation tools (e.g. GitLab CI, ClearML)
  • Previous ‘start-up’ or ‘scale-up’ experience is preferred
  • Strong problem-solving skills, attention to data quality, and effective cross-team communication
  • An abundance of ambition and motivation to grow the company and compete with the big players in the industry

Are you interested in this position?
Apply by clicking on the “Apply Now” button below!
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