Computer Vision Engineer - Embedded Systems

What Jobs Direct is recruiting a highly skilled Computer Vision Engineer with expertise in embedded systems for their advanced R&D facility in Pretoria. This role is crucial for developing and implementing sophisticated computer vision algorithms on resource-constrained embedded platforms. You will be responsible for the entire lifecycle of computer vision applications, from algorithm design and optimization to hardware integration and testing.

The ideal candidate has a strong foundation in image processing, deep learning for vision, and embedded software development, aiming to create intelligent systems for various applications. Join our AI & Emerging Technologies team and contribute to groundbreaking innovations in a key South African city.

• Design, develop, and optimize computer vision algorithms for real-time embedded applications.
• Implement and fine-tune deep learning models (CNNs, object detection, segmentation) for embedded hardware.
• Optimize algorithms for performance, memory, and power consumption on embedded processors (e.g., ARM, DSPs).
• Integrate computer vision systems with hardware components, sensors, and other subsystems.
• Develop and maintain software for embedded systems, including driver integration and low-level programming.
• Perform system testing, debugging, and validation of computer vision functionalities.
• Collaborate with hardware engineers and software developers to ensure seamless system integration.
• Stay updated on the latest advancements in computer vision, deep learning and embedded systems.
• Document algorithms, software designs, and testing procedures thoroughly.
• Contribute to the research and development of next-generation intelligent embedded systems.

• Bachelor's or Master's degree in Computer Science, Electrical Engineering, or a related field with a focus on Computer Vision.
• 5+ years of experience in developing computer vision algorithms and applications.
• Proven experience in deploying computer vision models on embedded systems.
• Strong knowledge of C/C++, Python, and embedded software development environments.
• Proficiency with computer vision libraries (e.g., OpenCV) and deep learning frameworks (e.g., Tensor Flow Lite, PyTorch Mobile).
• Experience with image processing techniques and digital signal processing.
• Familiarity with embedded hardware platforms and architectures (e.g., ARM Cortex, NVIDIA Jetson).
• Understanding of model optimization techniques for embedded devices.
• Excellent problem-solving and debugging skills.
• Ability to work effectively in a multidisciplinary team.

• Competitive salary package reflecting expertise in a niche field.
• Comprehensive benefits including medical, dental, and vision plans.
• Generous vacation time and paid holidays.
• Opportunities for continuous learning and professional growth.
• Access to cutting-edge hardware and software development tools.
• Collaborative and innovative research environment.
• The opportunity to work on impactful, real-world embedded AI projects.
• Potential for career advancement within the AI & Emerging Technologies division.