Job Description

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 qualified, research, internship, or project experience in computer gra

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