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Develop synthetic data generation workflows using Unreal Engine 5
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Build and extend UE5 tooling using C++, Blueprints, plugins, and Python
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Create and optimize realistic simulation environments, assets, and rendering pipelines
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Support dataset generation for computer vision applications such as detection, tracking, and segmentation
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Work with Blender and 3D assets for environment and scene creation
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Collaborate with AI engineers on data quality, labeling, and simulation workflows
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Improve automation, scalability, and rendering performance across the pipeline
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Degree in Computer Science, Game Engineering, Computer Vision, or similar
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Strong experience with Unreal Engine 5: C++, Plugin development, Blueprints, Asset integration
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Experience in gaming, simulation, VFX, or real-time rendering environments
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Good understanding of computer vision and synthetic data workflows
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Strong Python skills
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Experience with Blender or similar 3D tools
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Familiarity with Git or other version control systems
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Hands-on builder mindset with strong problem-solving skills