Hybrid 3D R&D Engineer

at Anatomage Inc.

• Job title: 3D R&D Engineer
• Job type: Full Time
• Experience level: Mid level, Senior
• Salary: $80,000 - $100,000 per year
• Degree requirement: Bachelor's Degree
• Tech skills: Linux, Unity
• Location requirements: Hybrid, Santa Clara, United States

About the role

• 3D R&D Engineer focused on designing and implementing 3D technologies for anatomical accuracy. Collaborating with medical experts and UX designers for next-generation products.

Responsibilities

• Design and implement 3D rendering, visualization, and interaction features for anatomy-focused applications.
• Develop and optimize algorithms for mesh processing, volume rendering, segmentation, and spatial data handling.
• Process and prepare 3D anatomical datasets derived from CT/MRI/DICOM sources.
• Profile and optimize GPU/CPU performance to support smooth, real-time interaction.
• Build prototypes to evaluate new ideas, rendering techniques, and product concepts.
• Collaborate with UX designers, medical experts, and product teams to refine user workflows and ensure visual accuracy.
• Participate in code reviews, write documentation, and maintain clean, high-quality code.
• Troubleshoot rendering issues, geometric artifacts, and pipeline inefficiencies.

Requirements

• Bachelor’s degree in Computer Science, Computer Engineering, Biomedical Engineering, Game Development, or related technical field.
• 2–3 years of professional experience in software development, preferably in 3D graphics or visualization.
• Strong proficiency in C++, with solid understanding of object-oriented design and performance considerations.
• Practical experience with a 3D graphics API or engine (OpenGL, Vulkan, DirectX, Unity, Unreal, etc.).
• Understanding of core computer graphics principles: rendering pipelines, shaders, transforms, geometry, materials, etc.
• Experience working with 3D data (meshes, point clouds, or volumetric datasets).
• Familiarity with medical imaging formats (DICOM, CT/MRI data) or willingness to learn quickly.
• Strong analytical and problem-solving skills, with the ability to explore and evaluate technical approaches independently.
• Experience with GPU programming (CUDA, compute shaders) (preferred).
• Background in computational geometry, scientific visualization, or image processing (preferred).
• Experience working with anatomical or biomedical datasets (preferred).
• Knowledge of numerical methods or real-time rendering optimization (preferred).
• Familiarity with cross-platform development (Windows/Linux) (preferred).

Benefits

• Health, Dental, and Vision care for you and your family
• 401K savings plan with employer matching
• Generous PTO leave and paid holidays
• Casual work culture
• Collaborative and inclusive work environment