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 professional, research, internship, or project experience in computer graphics, scientific visualization, medical imaging, game-engine development, or 3D application development.

Strong understanding of 3D graphics concepts including coordinate systems, transformations, cameras, lighting, textures, meshes, shaders, depth, transparency, and rendering pipelines.

Hands-on programming experience in C++ and/or Python, with exposure to graphics or visualization frameworks.

Experience with one or more tools or libraries such as VTK, OpenGL, WebGL, Three.js, Unity, Unreal Engine, DirectX, Vulkan, or similar technologies.

Experience working with 3D geometry, point clouds, surface meshes, volumetric data, or image stacks.

Familiarity with image-processing and medical-imaging tools such as OpenCV, SimpleITK, ITK, pydicom, NiBabel, MONAI, or 3D Slicer.

Understanding of DICOM image orientation, voxel spacing, patient coordinate systems, resampling,



and the relationship between image space and world space.

Ability to profile and troubleshoot rendering performance, memory use, visual artifacts, and cross-platform behavior.

Good communication skills and ability to work collaboratively with imaging scientists, AI engineers, clinicians, UX designers, and software developers.

Preferred Skills

Experience with direct volume rendering, ray casting, transfer-function design, GPU shaders, CUDA, compute shaders, or GPU-accelerated image processing.

Exposure to medical visualization workflows such as MPR, MIP, MinIP, curved planar reformation, cinematic rendering, segmentation review, surgical planning, or navigation.

Familiarity with mesh-processing libraries such as Open3D, PCL, CGAL, trimesh, MeshLab, or similar frameworks.

Experience creating interactive desktop, web, AR, VR, or mixed-reality applications for scientific or medical use cases.

Basic understanding of human factors, visual perception, color mapping, accessibility, and clinical usability considerations.

Positive to have

Exposure to front-end development frameworks such as React, Angular, Qt, Flutter, or similar technologies for building visualization interfaces and proof-of-concept demos.

Experience with DICOMweb, PACS integration concepts, image streaming, cloud-based rendering, or remote visualization.

Awareness of regulatory, privacy, cybersecurity, and software-quality considerations for medical visualization applications, including traceability and reproducible validation.

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