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Computer Vision Engineer



Software Engineering
Posted on Saturday, November 19, 2022

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
  • Support QA in developing test plans

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.