Computer Vision Engineer

Globus Medical•Methuen, MA

About The Position

The Computer Vision Engineer will lead the development of advanced navigation and guidance solutions for robotic-assisted surgeries. The role works with clinical experts, system, software and hardware engineers, and regulatory specialists to create accurate, real-time navigation and surgical guidance systems that integrate into the surgical environment. The engineer translates surgeon feedback into technological improvements and user-interface enhancements, develops real-time vision algorithms for surgical instruments and anatomical structures, and adapts pre-operative imaging to intra-operative imaging. The role also involves developing machine-vision sensors and extended-reality display systems for tracking instrument positions; evaluating and integrating depth sensors or multimodal systems to capture surgical-site geometry and anatomical structures; and ensuring sensor calibration and synchronization when needed. The engineer develops and maintains modular, scalable, reliable code in a real-time environment, defines and executes tracking-system tests using synthetic, phantom, and cadaver data, and documents results for risk management, regulatory filings, and product milestones. The position contributes throughout the product life cycle, from research and initial requirements drafting through sustaining efforts.

Requirements

Master’s degree or foreign equivalent in Computer Science, Information Technology, Data Science, Robotics, or a related field.
Three years of experience in a related occupation.
Experience using 3D vision algorithms, including object pose estimation, feature extraction, and optical flow.
Experience programming in C++ and Python, with hands-on experience using OpenCV, Open3D, or equivalent libraries.
Experience with deep-learning frameworks such as PyTorch or TensorFlow for vision tasks.
Experience with GPU programming (CUDA) or parallelization frameworks.
Experience optimizing machine-learning models using multithreading, GPU, and machine-learning frameworks such as TensorFlow.
Experience analyzing and improving prototype hardware reliability, stability, and performance when connecting with various devices.
Experience with computer-vision and artificial-intelligence algorithms, 3D geometry, and integration with camera-based systems.

Responsibilities

Lead development of advanced navigation and guidance solutions for robotic-assisted surgeries.
Collaborate with clinical experts, system engineers, software and hardware engineers, and regulatory specialists to create accurate, real-time navigation and surgical guidance systems.
Work with the surgical navigation team to design and develop navigation and guidance solutions for robotic-assisted surgeries.
Translate surgeon feedback into technological improvements and user-interface enhancements in collaboration with clinical specialists.
Design and implement real-time vision algorithms for surgical instruments and anatomical structures, adapting pre-operative imaging to intra-operative imaging.
Develop machine-vision sensors and extended-reality display systems to track instrument positions.
Evaluate, select, and integrate depth sensors or multimodal systems to capture surgical-site geometry or anatomical structures.
Ensure robust calibration and synchronization of multiple sensors when needed.
Develop and maintain modular, scalable, and reliable code in a real-time environment.
Define and execute test plans for tracking-system accuracy, reliability, and performance using synthetic, phantom, and cadaver experimental data.
Document test results to support risk management, regulatory filings, and product development milestones.
Contribute across the product life cycle, from research and initial requirements drafting to sustaining efforts.