Staff Graphics Research Engineer (AI/ML)
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The role
Focus on advancing GPU-based rendering through ML by creating and optimizing model architectures for graphics workloads.
Prototype and evaluate ML models (including diffusion and transformer-based approaches) for denoising, upscaling, and rendering tasks.
Work with 3D graphics, ray tracing, and GPU compute APIs (Direct3D, Vulkan, OpenGL, OpenCL, CUDA/HIP) to integrate ML into rendering pipelines.
Collaborate with data scientists and engineers to deploy production-ready ML solutions across cloud, edge, and embedded platforms.
Conduct systematic experiments with hyperparameter tuning, cross-validation, and A/B testing; document methodologies for reproducibility.
Demonstrate strong programming in Python and C++, with experience in Git-based workflows, containers (Docker/Conda), and CI pipelines.
Prototype and evaluate ML models (including diffusion and transformer-based approaches) for denoising, upscaling, and rendering tasks.
Work with 3D graphics, ray tracing, and GPU compute APIs (Direct3D, Vulkan, OpenGL, OpenCL, CUDA/HIP) to integrate ML into rendering pipelines.
Collaborate with data scientists and engineers to deploy production-ready ML solutions across cloud, edge, and embedded platforms.
Conduct systematic experiments with hyperparameter tuning, cross-validation, and A/B testing; document methodologies for reproducibility.
Demonstrate strong programming in Python and C++, with experience in Git-based workflows, containers (Docker/Conda), and CI pipelines.
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