Research Engineer - Graphics

SpAItial; München; Vor Ort; EUR 55.000 - 75.000; Vollzeit

Zusammenfassung

A cutting-edge AI company in Munich is seeking a 3D Graphics & Rendering Engineer to lead the optimization of high-quality synthetic datasets. This role involves designing scalable rendering pipelines and collaborating with research teams to ensure data accuracy. Successful candidates will have strong experience in computer graphics, proficient use of Blender and Unity, and a relevant degree or significant industry experience. The position emphasizes a commitment to diversity and inclusivity in the hiring process.

Qualifikationen

• Experience in computer graphics with proven projects or shipped products.
• Understanding of various 3D representations including meshes and point clouds.
• Capability in using rendering and simulation software like Blender and Unity.

Aufgaben

• Design and optimize synthetic datasets for training 3D models.
• Enhance synthetic data generation pipelines for improved efficiency.
• Integrate rendering workflows with tools like Blender and Unity.

Kenntnisse

Computer graphics and rendering

3D representations

Blender

Unity

WebGL

Ausbildung

Bachelor’s or Master’s in Computer Science or related fields

Tools

Unreal Engine

Jobbeschreibung

Location

London, Munich

Employment Type

Full time

Location Type

On-site

Department

Engineering

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 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.