Research Engineer - Graphics

The role

You will design and architect high-fidelity synthetic data engines to train large-scale World Models. You will develop and scale automated rendering pipelines to generate diverse, physically-consistent 3D environments.

What you will do

• Design and architect high-fidelity synthetic data engines to train large-scale World Models.
• Develop and scale automated rendering pipelines to generate diverse, physically-consistent 3D environments.
• Integrate and refine rendering workflows using tools like Blender, Unity, 3DMax, or equivalent platforms.
• Work with the research team to ensure datasets and synthetic data workflows align with world model training objectives.

Required qualifications

• Strong background in computer graphics with a proven track record of building complex rendering systems or high-fidelity simulation environments.
• Deep understanding of 3D representations (meshes, voxels, point clouds, implicit surfaces, etc.).
• Proficiency in Blender, Unity, Unreal Engine, 3DMax, or similar rendering and simulation software.
• Bachelor’s, Master’s, or equivalent experience in computer science, graphics, or related fields.
• Background in large-scale data workflows for AI/ML model training.

Nice to have

• knowledge in 3D Gaussian Splatting and volumetric rendering
• experience, or ambition to work with procedural generation tools and techniques

About the company

SpAItial is pioneering the next generation of World Models, pushing the boundaries of generative AI, computer vision, and the simulation of reality.