Computer Vision Engineer

Globus Medical seeks a Computer Vision Engineer to lead development of navigation and guidance systems for robotic-assisted surgery. The role involves designing real-time vision algorithms, integrating depth sensors, and collaborating across clinical and engineering teams to translate surgical needs into technological solutions.

Responsibilities

• Design and implement real-time vision algorithms for surgical instrument and anatomical structure tracking
• Collaborate with clinical experts, engineers, and regulatory specialists to develop high-accuracy navigation systems
• Evaluate, select, and integrate depth sensors and multi-modal imaging systems for surgical guidance
• Develop and maintain scalable, modular code in real-time environments with appropriate GPU acceleration
• Define and execute validation testing using synthetic, phantom, and cadaver data to document system performance

Requirements

• Master's degree in Computer Science, Information Technology, Data Science, Robotics, or related field
• 3 years of experience in computer vision or related field
• Proficiency in C++ and Python with hands-on OpenCV, Open3D, or equivalent library experience
• Knowledge of 3D vision algorithms including pose estimation, feature extraction, and optical flow
• Experience with deep learning frameworks such as PyTorch or TensorFlow
• GPU programming experience with CUDA or parallel computing frameworks
• Demonstrated expertise in computer vision, AI algorithms, and camera-based system integration