Computer Vision Engineer

Key Responsibilities

• Design, develop and optimise computer vision algorithms for real-world applications.
• Build and improve image processing and machine learning pipelines.
• Design and implement data collection systems and data pipelines for vision applications.
• Develop object detection, tracking, segmentation and recognition algorithms.
• Work with cameras, sensors and perception systems.
• Deploy and optimise AI models for embedded and edge devices.
• Collaborate with software, hardware and systems engineers throughout the product development lifecycle.
• Evaluate and improve algorithm performance using real-world datasets.

Required Experience

• Master’s or Ph.D. in Computer Science, Electrical Engineering, Robotics or a related discipline.
• Minimum 5 years’ industry experience developing computer vision solutions.
• Strong programming skills in:
  • Python
  • C++
• Experience with:
  • OpenCV
  • TensorFlow and/or PyTorch
• Strong understanding of:
  • Computer Vision
  • Machine Learning
  • Deep Learning
• Experience building data collection setups and data pipelines.
• Experience developing production-quality software.

Desirable Experience

• Robotics or autonomous systems.
• Automotive vision systems.
• Sensor fusion.
• LiDAR, depth cameras or stereo vision.
• Point cloud processing.
• NVIDIA Jetson.
• GPU optimisation.
• Embedded AI deployment.
• Docker.
• CI/CD pipelines.
• Linux development.

Personal Skills

• Strong analytical and problem-solving skills.
• Excellent communication skills.
• Able to work independently and within multidisciplinary engineering teams.
• Passion for innovation and solving challenging technical problems.