Computer Vision Engineer (C++) (R4633)

Design and implement novel computer vision algorithms from scratch, optimised for real-time performance.

Develop and maintain C++-based CV pipelines as part of autonomous mission systems.

Collaborate with a multidisciplinary team of AI, robotics, and optical engineers to deliver reliable edge solutions.

Support the integration of deep learning models into broader CV systems, working closely with AI experts.

Stay across current academic research and emerging techniques in computer vision and ML.

Deep proficiency in C++ and comfortable working in high-performance real-time environments.

Strong experience writing custom computer vision algorithms, beyond just library use.

Solid understanding of computer vision, image processing, and machine learning principles.

Experience in any of the following:

Object detection, target tracking, or 3D reconstruction.

SLAM, camera calibration, or behaviour analysis.

Automated video surveillance or other related real-time vision systems.

Familiarity with OpenCV and similar vision toolkits.

Exposure to deep learning for image classification, recognition, or sequence modelling.

Interest in combining deep learning and CV pipelines in real-time deployment scenarios.

Master’s or PhD in Computer Science, Engineering, or a related field.

Previous Defence experience is highly desirable.