Computer Vision Engineer - Autonomous Systems

Our client is looking for a talented and innovative Computer Vision Engineer to join their advanced R&D team in Randburg, Gauteng, ZA
. This role focuses on developing and implementing cutting-edge computer vision algorithms for autonomous systems. You will be instrumental in enabling machines to perceive and understand their environment, driving progress in areas such as robotics, self-driving vehicles, and intelligent surveillance. The position requires a strong foundation in image processing, machine learning, and deep learning, coupled with practical experience in software development.

You will work in a fast-paced, collaborative environment, pushing the boundaries of what's possible in artificial perception. The Randburg, Gauteng, ZA location provides a strategic hub for technological advancement.

• Design, develop, and optimize computer vision algorithms for real-time applications.
• Implement deep learning models for tasks such as object detection, image segmentation, pose estimation, and tracking.
• Process and analyze large datasets of images and video for model training and evaluation.
• Collaborate with hardware engineers to integrate vision systems into robotic platforms and sensors.
• Develop and maintain robust, scalable, and efficient software solutions using C++ and Python.
• Conduct rigorous testing and validation of computer vision components.
• Stay current with the latest advancements in computer vision and machine learning research.
• Contribute to the overall system architecture and design for autonomous solutions.
• Troubleshoot and debug complex issues in vision systems.

• Bachelor's or Master's degree in Computer Science, Electrical Engineering, or a related field with a specialization in computer vision or machine learning.
• 3+ years of hands-on experience in computer vision algorithm development.
• Strong proficiency in C++ and Python, including experience with relevant libraries (e.g., OpenCV, PCL).
• Experience with deep learning frameworks such as Tensor Flow, PyTorch, or Keras.
• Solid understanding of image processing techniques, camera models, and 3D geometry.
• Familiarity with robotics concepts and platforms (e.g., ROS).
• Experience with CUDA programming for GPU acceleration is a plus.
• Strong problem-solving abilities and a methodical approach to debugging.
• Excellent teamwork and communication skills.
• Experience working in an agile development environment.

• Competitive salary and performance-based bonuses.
• Comprehensive medical aid and retirement fund contributions.
• Opportunities for career advancement and professional development.
• Exposure to challenging and groundbreaking AI projects.
• Hybrid work model offering flexibility between office and remote work.
• Collaborative and innovative team culture.
• Access to cutting-edge technology and tools.
• Relocation assistance may be available for exceptional candidates.