Computer Vision Engineer

EchoPixel is seeking a talented and passionate computer vision engineer to join a dedicated team of clinical specialists, software engineers, imaging experts, and stereoscopic visualization pioneers to help drive the development of next‑generation AR / VR software for live imaging‑based surgical planning and intervention. Frequent topics of interest include object detection / recognition, segmentation, human pose estimation and tracking, as well as morphological analysis and image registration. As a first‑to‑market solution, the EchoPixel platform represents the new frontier of medical imaging, helping to embolden surgeons, optimize clinical workflows, and improve patient outcomes. What you’ll be doing: Actively engage with clinicians, product managers, field specialists, and other software engineers to develop and validate high clinical impact computer vision applications - from early concepts and prototypes through commercialization and deployment Pursue high‑impact publications and patent filings Author technical documentation Required qualifications M.S., Ph.D. or equivalent experience in computer science, computer vision, computational imaging, electrical engineering, or related field Proficiency in C++ programming, including object‑oriented design, data structures, and algorithms Proficiency in Python or other languages commonly utilized for rapid prototyping and algorithm development Experience with common vision and machine learning frameworks and toolsets such as TensorFlow, OpenCV, Caffe, etc. A record of successful machine vision product development Strong time management, prioritization, teamwork, and interpersonal skills Experience developing and following engineering requirements and specifications Excellent verbal and written communication skills Nice to have: Experience working with volumetric image data Knowledge of medical imaging concepts and standards such as DICOM Knowledge of AR / VR concepts and platforms Experience with CUDA or other general purpose GPU programming models Experience training / deploying machine learning and computer vision models in cloud environments Experience developing software in regulated environments for medical applications Familiarity with the medical device lifecycle If you're interested in one of our open positions, start by applying here and attaching your resume. #J-18808-Ljbffr