Computer Vision Engineer - Autonomous Systems

Our client is a leader in AI and Emerging Technologies , looking for a talented Computer Vision Engineer to join their pioneering team in Port Elizabeth . You will be instrumental in developing and implementing cutting-edge computer vision algorithms for autonomous systems, robotics, and advanced imaging applications. This role requires a strong foundation in image processing, machine learning, and software development, contributing to exciting projects that push the boundaries of what's possible.

You will work within a highly skilled team focused on innovation, problem-solving, and delivering robust solutions in the dynamic tech environment of the Eastern Cape .

Design, develop, and optimize computer vision algorithms for object detection, tracking, recognition, and scene understanding. Implement deep learning models for image analysis and computer vision tasks using frameworks like Tensor Flow or PyTorch. Develop and integrate CV systems into real-time applications and hardware platforms. Process and analyze large image and video datasets for model training and validation. Collaborate with hardware engineers and robotics experts to ensure seamless integration of vision systems.

Conduct research on new CV techniques and methodologies to improve system performance and capabilities.

Master's or Ph.D. in Computer Science, Electrical Engineering, or a related field with a specialization in Computer Vision. Proven experience in developing and deploying computer vision algorithms in real-world applications. Strong programming skills in C++ and Python, with experience in libraries like OpenCV, CUDA, and ML frameworks. Deep understanding of image processing techniques, 3D vision, and geometric methods. Experience with deep learning for computer vision tasks (CNNs, object detection networks, etc.).

Ability to work effectively in a collaborative, fast-paced research and development setting in Port Elizabeth .

Attractive salary and bonus structure. Comprehensive health and wellness benefits. Opportunities for advanced training and professional growth. Hybrid work model enabling a blend of office collaboration and remote flexibility. Exposure to highly innovative projects in autonomous systems and AI.