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# Computer Vision Engineer

- **Company:** Globus Medical
- **Location:** Methuen, MA, United States
- **Experience:** Experienced
- **Contract:** Permanent contract
- **Skills:** Computer Vision, C++ (Programming Language), Nvidia CUDA, Computer Programming, Experimental Data, Human-Computer Interaction, Python (Programming Language), Machine Learning, OpenCV, Open Source Technology, Tensorflow, Multithreading, Graphics Processing Unit (GPU), Pytorch, Deep Learning, Parallel Computation, Gpu Programming, Information Technology
- **Published:** October 14, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=5b1f4d1a31928f22

## About the Role

* Requires a Master's degree or foreign equivalent in Computer Science, Information Technology, Data Science, Robotics, or a related field;

 * 3 years of experience in a related occupation;

 * Experience using 3D vision algorithms (object pose estimation, features extraction, optical flow);

 * Experience programming in C++ and Python, with hands on experience with open source and libraries like OpenCV, Open3D or equivalent;

 * Experience with deep-learning frameworks (e.g., PyTorch, TensorFlow) for vision tasks;

 * Experience with GPU programming (CUDA) or parallelization frameworks;

 * Experience optimizing machine learning models using multi-threading, GPU, and machine learning frameworks, such as Tensorflow;

 * Experience analyzing and improving the reliability, stability, and performance of the prototype hardware in connecting with various devices; and

Experience with computer vision algorithms, artificial intelligence algorithms, 3D geometry, integration with camera-based systems.
*

## Description

The Computer Vision Engineer will be responsible for leading the development of advanced navigation and guidance solutions for robotic-assisted surgeries.

Essential Functions:

 * Work closely with clinical experts, system engineers, software and hardware engineers, and regulatory specialists to create a high-accuracy, real-time navigation and surgical guidance system that integrates seamlessly into the surgical environment;

 * Work with surgical navigation team that is responsible for designing and developing advanced navigation and guidance solutions for robotic-assisted surgeries;

 * Work closely with clinical specialists to translate surgeon feedback into technological improvements and user interface enhancements;

 * Design and implement real time vision algorithms to account for surgical instruments and anatomical structures, adapting pre-op imaging to intra-op imaging;

 * Develop novel machine vision sensors and extended reality display systems that help track instrument positions;

 * Collaborate with product, system, and hardware teams to evaluate, select, and integrate depth sensors (e.g., structured light, Time-of-Flight, stereo cameras) or multi-modal systems (e.g., near-infrared or ultrasound) to capture surgical site geometry or anatomical structures;

 * Ensure robust calibration and synchronization of multiple sensors if needed;

 * Develop and maintain code in a real-time environment, ensuring modularity, scalability, and reliability (e.g., C++/Python with GPU acceleration where appropriate);

 * Define and execute test plans for accuracy, reliability, and performance of the tracking system using synthetic, phantom and cadaver experimental data;

 * Document results to support risk management, regulatory filings, and product development milestones; and

 * Engage in the entire product life cycle from research to initial requirements drafting to sustaining efforts.