IMAGING ENGINEER SKILLS, EXPERIENCES, AND JOB REQUIREMENTS

Updated: Oct 17, 2025 - The Imaging Engineer services and repairs imaging equipment for OEMs, independent service organizations, or healthcare systems while maintaining technical expertise through ongoing training. This role requires advanced computer skills, the ability to interpret error codes, perform hardware maintenance, and integrate information from multiple sources. The engineer also demonstrates strong communication, interpersonal, and customer service skills to ensure effective support and client satisfaction.

Essential Hard and Soft Skills for an Imaging Engineer Resume
  • Image Tuning
  • Sensor Integration
  • Algorithm Improvement
  • Benchmark Testing
  • Colour Management
  • Display Calibration
  • Programming
  • Imaging Models
  • Medical Imaging
  • Database Management
  • Partner Collaboration
  • Documentation
  • Clinical Expertise
  • Customer Interaction
  • Vendor Coordination
  • Customer Relationships
  • Client Communication
  • Process Development
  • Optical Characterization
  • Technology Evaluation

Summary of Imaging Engineer Knowledge and Qualifications on Resume

1. BS in Imaging Science with 5 years of Experience

  • Ability to interpret error codes, defragment hard drives, replace power supplies, and interpret computer codes
  • Knowledge of Microsoft Office (Excel) and networking applications
  • Ability to integrate information from a variety of sources
  • Excellent interpersonal and customer service skills
  • Strong written and verbal communication skills
  • Experience Deep learning/CNN models via imaging
  • Working experience in JavaScript 
  • Ability to code in Python, specifically for image analysis
  • Experience with OpenCV, Tensorflow, and Pytorch
  • Experience in a prototyping environment
  • Exposure to automation equipment
  • Ability to interface with IO devices for basic machine control

2. BA in Visual Communication with 6 years of Experience

  • Experience applying image analysis in pathology and/or microscopy
  • Experience with Deep Learning
  • Familiarity with git and CMake
  • Familiarity with Python
  • Experience with Linux
  • Hands-on background with the software development lifecycle and change management
  • Experience writing image processing and image analysis software
  • Familiarity with Machine Learning
  • Comfortable working with C++
  • Ability to work effectively in a very fast-paced, changing environment, both independently and as part of a team
  • Strong interpersonal and communication skills, both verbal and written
  • Quick learner with good judgment and problem-solving skills

3. BS in Computer Engineering with 4 years of Experience

  • Experience with OEMs, 3rd Party Independent Service Organizations (ISO) or health system servicing/repairing imaging equipment
  • Able to maintain Clinical Engineer expertise through ongoing training
  • Self-directed and able to solve problems in the field with no supervision
  • Must have complex computer skills
  • Ability to interpret error codes, defragment hard drives, replace power supplies, and interpret computer codes
  • Working knowledge of Microsoft Office (Excel) and networking applications
  • Ability to integrate information from a variety of sources
  • Excellent interpersonal and customer service skills
  • Strong written and verbal communication skills

4. BA in Digital Media Technology with 7 years of Experience

  • Knowledge of X-ray source/detector types, energy/radiation/dosage, and shielding/safety measures
  • Knowledge in X-ray imaging systems and 2D/3D image formation techniques
  • Hands-on experience in X-ray image alignment, calibration, and image detection
  • Knowledge of general optics (e.g. ,ray optics, radiometry, etc.)
  • Resourceful in the X-ray hardware industry, i.e., knowledge of up-to-date X-ray imaging components and vendors
  • Knowledge of a semiconductor wafer and mask alignment 
  • Knowledge of 3D X-ray image reconstruction (e.g,. tomography)
  • Experience with C/C++, C#, CUDA, Python, and/or MATLAB 
  • Experience in software applications (especially with a simple user interface)
  • Experience with machine learning and computer vision
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