Tasks:
- * Automate workflows with Blender and other DCC tools
- * Build and maintain GPU inference services
- * Deploy 3D generative algorithms to production
- * Develop and maintain 3D asset processing pipelines
- * Develop and maintain tools, SDKs, and internal platforms
- * Develop task scheduling and distributed processing systems
- * Integrate 3D generation models into production
- * Optimize large-scale 3D data processing performance and resource usage
Perks/Benefits:
Skills/Tech stack required:
[3D AIGC] [3D computer graphics] [3D file format conversion] [Animation processing] [Blender] [C++] [Celery] [ComfyUI] [Computer Graphics] [CUDA] [DCC Automation] [Deep learning] [Deep learning inference] [Deep learning inference deployment] [FBX] [File Format Conversion] [Format conversion] [GLTF] [GPU Performance] [GPU Performance Optimization] [Inference deployment] [Kubernetes] [Linux] [Mesh Processing] [Normal and tangent processing] [OBJ] [OpenGL] [Performance optimization] [Python] [PyTorch] [Ray] [Skeleton and animation processing] [Tangent processing] [Texture processing] [Topology cleanup] [Unity] [Unreal Engine] [USD] [UV mapping] [Vulkan]
Educational requirements:
N/A
Role(s):
[3D Generative Algorithm Deployment Engineer] [Algorithm Deployment Engineer] [Deployment Engineer] [Engineer]