[Remote] CT Visualization Software Engineer
Note: The job is a remote job and is open to candidates in USA. KPG99 INC is seeking a CT Visualization Software Engineer to design, develop, and optimize advanced CT image visualization and analysis software. This role focuses on delivering high-performance, clinically intuitive tools for 3D/2D visualization, segmentation, measurement, and procedural planning, while collaborating with clinical, product, and regulatory teams.
Responsibilities
- Design and implement 2D/3D CT visualization workflows, including MPR, MIP, volume rendering, and curved planar reformation
- Develop interactive tools for: Anatomical navigation, Measurements and annotations, Device sizing and placement simulation
- Optimize rendering performance for large CT datasets
- Implement and integrate: CT segmentation algorithms, Anatomical modeling and surface reconstruction, Registration and co-registration techniques
- Ensure accuracy and reproducibility of quantitative measurements
- Validate algorithms against clinical datasets
- Develop production-quality software using C++ and/or C# (.NET)
- Integrate visualization components into larger platforms (desktop, cloud, or hybrid)
- Collaborate on system architecture, APIs, and data pipelines
- Write unit, integration, and performance tests
- Work with clinicians to translate workflow needs into usable software
- Collaborate with product management and UX to refine visualization experiences
- Support regulatory documentation and design controls when required
Skills
- Bachelor's or Master's degree in Computer Science, Engineering, Biomedical Engineering, or equivalent experience
- 5+ years of professional software development experience
- Strong experience with CT imaging data (DICOM)
- Strong experience with Medical image visualization
- Proficiency in C++ (modern C++) and/or C# / .NET
- Solid understanding of 3D geometry and linear algebra
- Solid understanding of Image processing fundamentals
- Solid understanding of Performance optimization and memory management
- Experience with visualization or imaging libraries such as VTK, ITK, OpenGL, DirectX, Vulkan
- Familiarity with DICOM toolkits (DCMTK, GDCM)
- Familiarity with Medical imaging workflows (PACS, VNA)
- Experience in cardiac CT, structural heart, EP, or interventional planning
- Exposure to AI/ML-based segmentation
- Exposure to Cloud-based imaging solutions
- Prior work in regulated medical software (FDA, IEC 62304)
Company Overview
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