SpAItial
Research Engineer(m/w/x)
Full-timeOn-siteExperienced
München
New Job?Nejo!
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SPSpAItial
Research Engineer - Graphics(m/w/x)
München
Full-timeOn-siteExperienced
AI/ML
Nejo AI Summary
Architecting synthetic data engines and scaling automated rendering pipelines for 3D environments. Strong computer graphics background and experience building rendering systems required. Work on World Models with generative AI and computer vision.
Requirements
- Strong computer graphics background
- Proven track record building rendering systems
- Proven track record building high-fidelity simulation environments
- Deep understanding of 3D representations
- Knowledge in 3D Gaussian Splatting (nice to have)
- Knowledge in volumetric rendering (nice to have)
- Proficiency in Blender, Unity, Unreal Engine, 3DMax, or similar rendering and simulation software
- Bachelor’s, Master’s, or equivalent in computer science
- Bachelor’s, Master’s, or equivalent in graphics
- Bachelor’s, Master’s, or equivalent in related fields
- Experience with procedural generation tools (nice to have)
- Ambition to work with procedural generation tools (nice to have)
- Experience with procedural generation techniques (nice to have)
- Ambition to work with procedural generation techniques (nice to have)
- Background in large-scale data workflows for AI/ML model training
Tasks
- Design and architect high-fidelity synthetic data engines
- Develop and scale automated rendering pipelines
- Integrate and refine rendering workflows
- Align datasets and synthetic data workflows with training objectives
Work Experience
- approx. 1 - 4 years
Education
- Bachelor's degreeOR
- Master's degree
Languages
- English – Business Fluent
Tools & Technologies
- Blender
- Unity
- Unreal Engine
- 3DMax
- 3D Gaussian Splatting
- AI/ML
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of SpAItial and processed the information on Nejo with the help of AI for you. Despite careful analysis, some information may be incomplete or inaccurate. Please always verify all details in the original posting! Content and copyrights of the original posting belong to the advertising company.
Not a perfect match?
- SpAItial
Research Scientist - World Models(m/w/x)
Full-timeOn-siteNot specifiedMünchen - DE01 NVIDIA Germany
Research Engineer Neural Reconstruction - New College Graduate(m/w/x)
Full-timeOn-siteExperiencedMünchen - SpAItial
Research Scientist - 3D Diffusion(m/w/x)
Full-timeOn-siteNot specifiedMünchen - DE01 NVIDIA Germany
Applied Research Engineer, Neural Reconstruction(m/w/x)
Full-timeOn-siteSeniorMünchen
SPSpAItial
Research Engineer - Graphics(m/w/x)
München
Full-timeOn-siteExperienced
AI/ML
Nejo AI Summary
Architecting synthetic data engines and scaling automated rendering pipelines for 3D environments. Strong computer graphics background and experience building rendering systems required. Work on World Models with generative AI and computer vision.
Requirements
- Strong computer graphics background
- Proven track record building rendering systems
- Proven track record building high-fidelity simulation environments
- Deep understanding of 3D representations
- Knowledge in 3D Gaussian Splatting (nice to have)
- Knowledge in volumetric rendering (nice to have)
- Proficiency in Blender, Unity, Unreal Engine, 3DMax, or similar rendering and simulation software
- Bachelor’s, Master’s, or equivalent in computer science
- Bachelor’s, Master’s, or equivalent in graphics
- Bachelor’s, Master’s, or equivalent in related fields
- Experience with procedural generation tools (nice to have)
- Ambition to work with procedural generation tools (nice to have)
- Experience with procedural generation techniques (nice to have)
- Ambition to work with procedural generation techniques (nice to have)
- Background in large-scale data workflows for AI/ML model training
Tasks
- Design and architect high-fidelity synthetic data engines
- Develop and scale automated rendering pipelines
- Integrate and refine rendering workflows
- Align datasets and synthetic data workflows with training objectives
Work Experience
- approx. 1 - 4 years
Education
- Bachelor's degreeOR
- Master's degree
Languages
- English – Business Fluent
Tools & Technologies
- Blender
- Unity
- Unreal Engine
- 3DMax
- 3D Gaussian Splatting
- AI/ML
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of SpAItial and processed the information on Nejo with the help of AI for you. Despite careful analysis, some information may be incomplete or inaccurate. Please always verify all details in the original posting! Content and copyrights of the original posting belong to the advertising company.
About the Company
SpAItial
Industry
IT
Description
The company is pioneering the development of a frontier 3D foundation model, pushing the boundaries of AI, computer vision, and spatial computing.
Not a perfect match?
- SpAItial
Research Engineer(m/w/x)
Full-timeOn-siteExperiencedMünchen - SpAItial
Research Scientist - World Models(m/w/x)
Full-timeOn-siteNot specifiedMünchen - DE01 NVIDIA Germany
Research Engineer Neural Reconstruction - New College Graduate(m/w/x)
Full-timeOn-siteExperiencedMünchen - SpAItial
Research Scientist - 3D Diffusion(m/w/x)
Full-timeOn-siteNot specifiedMünchen - DE01 NVIDIA Germany
Applied Research Engineer, Neural Reconstruction(m/w/x)
Full-timeOn-siteSeniorMünchen