KPG99 INC

CT Visualization Engineer

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a CT Visualization Engineer in Sylmar, California, offering a contract opportunity with a pay rate of "unknown". Candidates should have a degree in a related field, 5+ years of software development experience, and expertise in CT imaging data and medical visualization technologies.
🌎 - Country
United States
πŸ’± - Currency
$ USD
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πŸ’° - Day rate
Unknown
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πŸ—“οΈ - Date
May 16, 2026
πŸ•’ - Duration
Unknown
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🏝️ - Location
On-site
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πŸ“„ - Contract
Unknown
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πŸ”’ - Security
Unknown
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πŸ“ - Location detailed
Los Angeles, CA
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🧠 - Skills detailed
#C++ #C# #ML (Machine Learning) #Computer Science #.Net #Image Processing #Cloud #Visualization #Programming #AI (Artificial Intelligence)
Role description
CT Visualization Software Engineer Sylmar, California (4–5 Days Onsite) Contract Opportunity Job Overview We are seeking an experienced CT Visualization Software Engineer to join a cutting-edge medical imaging and visualization team. The ideal candidate will have strong expertise in CT imaging data, 2D/3D medical visualization, and high-performance software development for clinical imaging applications. This role involves developing advanced visualization workflows, image processing algorithms, and interactive tools used in next-generation healthcare solutions. Required Skills & Qualifications β€’ Bachelor’s or Master’s degree in Computer Science, Engineering, Biomedical Engineering, or related field β€’ 5+ years of professional software development experience β€’ Strong hands-on experience with CT Imaging Data and DICOM workflows β€’ Expertise in Medical Image Visualization technologies β€’ Strong programming experience in C++ and/or C#/.NET β€’ Experience with visualization frameworks such as VTK, OpenGL, and GPU rendering β€’ Strong understanding of: β€’ 3D Geometry and Linear Algebra β€’ Image Processing fundamentals β€’ Performance Optimization and Memory Management Preferred Qualifications β€’ Experience with DICOM toolkits such as DCMTK or GDCM β€’ Familiarity with PACS, VNA, and medical imaging workflows β€’ Experience in Cardiac CT, Structural Heart, EP, or Interventional Planning β€’ Exposure to AI/ML-based segmentation techniques β€’ Experience with cloud-based imaging solutions β€’ Knowledge of regulated medical software environments (FDA, IEC 62304)