Computer Vision Engineer

About the Opportunity We are partnering with an innovative engineering organization developing next-generation 3D imaging and inspection systems used across advanced manufacturing, medical technology, and robotics applications. This is a highly collaborative R&D environment where computer vision engineers work alongside experts in software, robotics, optics, electronics, and physics to build cutting-edge solutions powered by machine learning and computational imaging . What You’ll Do Design and develop advanced computer vision algorithms for: 3D reconstruction (e.g., structured light, multi-view geometry) 2D/3D imaging and camera calibration Object detection, segmentation, denoising, and metrology Research and implement machine learning / deep learning models for complex vision challenges Build and deploy end-to-end vision systems using C++ and Python Optimize algorithms for performance and scalability , including GPU/CUDA acceleration Develop solutions for inspection systems, medical devices, and robotics platforms Collaborate cross-functionally with global engineering teams Contribute to a highly innovative culture with regular idea-sharing and technical exploration What They’re Looking For MS required (PhD preferred) in Computer Science, Computer Engineering, Robotics, or related field Strong background in computer vision and/or machine learning Hands-on experience developing and optimizing algorithms in C++ and/or Python Experience with GPU/CUDA or parallel processing Familiarity with vision/ML frameworks such as: Experience in at least one of the following areas: 3D vision (structured light, stereo, multi-view geometry) Image processing and vision algorithm optimization Deep learning (CNNs) for vision applications High-performance computing and algorithm optimization #J-18808-Ljbffr Meet Life Sciences