Research Engineer – Real-Time Visualization

Responsibilities

• Develop interactive 2D and 3D biology visualization applications in the browser using React, TypeScript, and WebGPU.
• Design and implement rendering pipelines for meshes, curves, point clouds, compartmental representations, and related geometric structures.
• Implement efficient scene management, level-of-detail (LOD) systems, camera controls, and annotation overlays.
• Optimize frame time, memory footprint, and loading performance for large, multi-scale biological scenes.
• Collaborate with the procedural geometry team to define clean and scalable interfaces between generator outputs and rendering inputs.
• Ensure rendering pipelines are modular, maintainable, and compatible with evolving upstream biological AI components.
• Support integration into the broader multiscale visualization platform.
• Apply GPU optimization techniques and performance profiling to ensure smooth, real-time user interaction.
• Contribute to code quality, automated testing, documentation, and reproducibility standards.
• Maintain structured development workflows using version control and collaborative tools.
• Work closely with computational biologists, geometry modeling engineers, and AI researchers.
• Participate actively in technical discussions and solution design within an agile, research-driven environment.
• Operate effectively under evolving requirements while maintaining high engineering standards.

Requirements

• Master’s degree in Computer Science, Computer Graphics, Software Engineering, or a related field.
• PhD in a relevant discipline will be preferred.
• Hands-on experience with real-time graphics pipelines using OpenGL, Vulkan, WebGPU, WebGL, Three.js, or similar technologies (WebGPU preferred).
• Strong understanding of 2D and 3D geometry, coordinate systems, mesh formats, shading techniques, and performance profiling.
• Proficiency in TypeScript/JavaScript and frontend engineering using React.js.
• Demonstrated ability to build production-quality scientific visualization tools with strong UI/UX considerations.

Preferred Qualifications

• Familiarity with structural biology terminology or biological data representations.
• Experience in biomedical or scientific visualization.
• Knowledge of GPU optimization, custom shader development, and geometry processing techniques.

Benefits

• Competitive salary
• Professional development opportunities
• Collaborative research environment
• Access to cutting-edge technology

About the Company

MBZUAI is a research-driven university focused on advancing artificial intelligence. It aims to become a global center for AI research, education, and innovation. The university fosters interdisciplinary collaboration and provides a dynamic environment for researchers and students.