MBZUAI is seeking a Real-Time Visualization Research Engineer to
contribute to a Multiscale Biology Visualization AI project. The
goal of the project is to build an interactive multiscale biology
visualization platform that integrates procedural, algorithm-driven
geometry modeling with biological AI model outputs and deliver
high-performance scientific visualization on web applications. The
Research Engineer will design and implement real-time,
browser-based 2D and 3D visualization systems, enabling scalable
rendering of complex cellular structures and large multi-scale
biological scenes. The role requires strong expertise in modern
GPU-based rendering pipelines, frontend engineering, and scientific
visualization principles within a fast-paced, interdisciplinary
research environment.
Key Responsibilities
Real-Time Rendering & Visualization
- 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
Pipeline Integration & Architecture
- 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.
Performance Optimization & Quality
- 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 .
Collaboration & Research Contribution
- 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.
Academic Qualifications Required
- Master’s degree in Computer Science, Computer Graphics,
Software Engineering, or a related field.
- A PhD in a relevant discipline will be preferred.
Professional Experience Required
Essential:
- 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:
- 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.
