Key Responsibilities
Develop interactive medical visualization applications for 2D images, multiplanar reconstruction, 3D surfaces, and volumetric datasets derived from CT, MR, ultrasound, or fluoroscopy workflows.
Implement volume rendering, surface rendering, transfer functions, lighting, clipping, cropping, transparency, camera controls, and anatomical exploration features.
Convert medical image volumes, segmentation masks, landmarks, centerlines, meshes, and quantitative results into accurate and intuitive 3D visual representations.
Develop visualization features for segmentation overlays, measurements, annotations, registration results, treatment or intervention planning, and image-guided navigation.
Implement geometry-processing workflows including isosurface extraction, mesh generation, smoothing, decimation, repair, normal computation, and model export.
Optimize rendering pipelines for responsiveness, memory efficiency, GPU utilization, and real-time interaction with large medical datasets.
Work with DICOM datasets and support image loading, orientation handling,



voxel spacing, coordinate transformations, metadata interpretation, and de-identification-aware workflows.
Collaborate with AI and medical imaging teams to visualize model outputs, uncertainty, anatomical structures, and quantitative biomarkers for validation and demonstration.
Conduct visual and functional testing to verify anatomical correctness, coordinate consistency, rendering quality, usability, and performance across representative datasets.
Document visualization architecture, rendering methods, design assumptions, performance findings, and user-interface behavior.
Required Qualifications
Bachelor's or Master's degree in Computer Science, Computer Graphics, Biomedical Engineering, Electrical Engineering, Medical Imaging, Game Technology, or a related field.
Less than 3 years of skilled, research, internship, or project experience in computer graphics, scientific visualization, medical i

📌 Medical Visualization Engineer – 3D Rendering (Bengaluru)
🏢 Cyient
📍 Bengaluru