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.

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 scenes.

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.

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.

Collaboration & Research Contribution

Work closely with computational biologists, geometry modeling engineers, and AI researchers.

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.

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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 scenes.

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.

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.

Collaboration & Research Contribution

Work closely with computational biologists, geometry modeling engineers, and AI researchers.

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.

This is a Preview Listing…

You must sign in to see the full job description, and to apply.

Manage / Upgrade this job to a Full Job Listing.

Find Your Best Opportunity

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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 scenes.

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.

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.

Collaboration & Research Contribution

Work closely with computational biologists, geometry modeling engineers, and AI researchers.

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.

This is a Preview Listing…

You must sign in to see the full job description, and to apply.

Manage / Upgrade this job to a Full Job Listing.

Find Your Best Opportunity

Tell them AcademicJobs.com sent you!

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 scenes.

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.

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.

Collaboration & Research Contribution

Work closely with computational biologists, geometry modeling engineers, and AI researchers.

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.

This is a Preview Listing…

You must sign in to see the full job description, and to apply.

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Find Your Best Opportunity

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Research Engineer – Real-Time Visualization

Mohamed bin Zayed University of Artificial Intelligence (MBZUAI)

Residential Building (Biofuel Block) - Masdar City - SE45 05 - Abu Dhabi - United Arab Emirates

This is a Preview Listing…

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Research Engineer – Real-Time Visualization

Mohamed bin Zayed University of Artificial Intelligence (MBZUAI)

Residential Building (Biofuel Block) - Masdar City - SE45 05 - Abu Dhabi - United Arab Emirates

This is a Preview Listing…

Related Jobs - August 10, 2026

Related Conferences

34th International Symposium on Graph Drawing and Network Visualization (GD 2026)

ACM Virtual Global Computing Education Conference (SIGCSE Virtual 2026)

51st International Symposium on Mathematical Foundations of Computer Science (MFCS 2026)

European Symposium on Algorithms (ESA 2026)

67th Annual Symposium on Foundations of Computer Science (FOCS 2026)

52nd International Conference on Current Trends in Theory and Practice of Computer Science (SOFSEM 2027)

NeurIPS 2026

IJCAI-ECAI 2026

Next-Generation AI & Machine Learning (NXT AI)

2026 IEEE International Conference on Big Data

Research Engineer – Real-Time Visualization

Mohamed bin Zayed University of Artificial Intelligence (MBZUAI)

Residential Building (Biofuel Block) - Masdar City - SE45 05 - Abu Dhabi - United Arab Emirates

This is a Preview Listing…

Related Jobs - August 10, 2026

Related Conferences

34th International Symposium on Graph Drawing and Network Visualization (GD 2026)

ACM Virtual Global Computing Education Conference (SIGCSE Virtual 2026)

51st International Symposium on Mathematical Foundations of Computer Science (MFCS 2026)

European Symposium on Algorithms (ESA 2026)

67th Annual Symposium on Foundations of Computer Science (FOCS 2026)

52nd International Conference on Current Trends in Theory and Practice of Computer Science (SOFSEM 2027)

NeurIPS 2026

IJCAI-ECAI 2026

Next-Generation AI & Machine Learning (NXT AI)

2026 IEEE International Conference on Big Data