Job Description

SpAItial is pioneering the development of a frontier 3D foundation model, pushing the boundaries of AI, computer vision, and spatial computing. Our mission is to redefine how industries, from robotics and AR/VR to gaming and movies, generate and interact with 3D content.


We're seeking a

3D Graphics & Rendering Engineer

to lead the creation and optimization of high-quality synthetic datasets that power our models. You'll design scalable rendering pipelines, implement advanced rendering techniques, and work closely with research and engineering teams to ensure our data is accurate, diverse, and ready for training the next generation of spatial AI.

Responsibilities

Design and optimize

high-quality synthetic datasets for training large-scale 3D foundation models.

Enhance and scale

our synthetic data generation pipelines to improve efficiency, fidelity, and diversity of outputs.

Integrate and refine

rendering workflows using tools like Blender, Unity, or equivalent platforms.

Work with

with research team to ensure datasets align with model training objectives.

Evaluate and maintain

data quality, ensuring consistency and performance

Stay ahead of industry trends

in computer graphics, synthetic data generation

Key Qualifications

Strong experience in

computer graphics and rendering

, with proven projects or shipped products. Deep understanding of

3D representations

(meshes, voxels, point clouds, implicit surfaces, etc.). Proficiency in

Blender, Unity, Unreal Engine

, or similar rendering and simulation software. Experience with

WebGL or other web-based 3D graphics frameworks

. Bachelor's, Master's, or equivalent experience in

Computer Science, Graphics, or related fields

, OR 2+ years of industry experience in graphics and rendering.

Preferred Qualifications

Knowledge of

NeRF, 3D Gaussian Splatting

, or related volumetric rendering methods. Experience with

procedural generation

tools and techniques. Understanding of

generative modeling

techniques, including VAEs, GANs, and transformers. Background in

large-scale data workflows

for AI/ML model training. Track record of

open-source contributions

, published research, or community engagement in computer graphics or generative AI.

At SpAItial, we are committed to creating a diverse and inclusive workplace. We welcome applications from people of all backgrounds, experiences, and perspectives. We are an equal opportunity employer and ensure all candidates are treated fairly throughout the recruitment process.