Rendering Engineer, Light Fields

Genesis·Paris

In short

→Ingeniero de renderizado especializado en campos de luz y splatting gaussiano para un motor híbrido de alta precisión.
→Desarrollas y optimizas pipelines completos: captura, entrenamiento, compresión y renderizado en tiempo real con enfoque en color y calidad visual.
→Rol de propiedad sobre el producto, no solo investigación: transformas papers en código robusto y eficiente.

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What they ask for

✓Doctorado en gráficos por computadora, imagen computacional o visión por computadora (o trayectoria de investigación equivalente)
✓Publicaciones en SIGGRAPH, SIGGRAPH Asia, CVPR, ICCV o EGSR
✓Experiencia práctica con campos de radiancia, splatting gaussiano o renderizado de campos de luz más allá de prototipos
✓Conocimiento sólido en ciencia del color: colorimetría, pipelines ISP, ACES o flujos de trabajo gestionados
✓Experiencia sólida en C++ y programación GPU (CUDA, shaders de cómputo)
✓Capacidad para llevar investigaciones a producción con código robusto y eficiente

Don't tick every box? That's normal — your free dossier shows your gaps and how to cover them in the interview.

C++CUDACompute ShadersPythonRadiance Fields3D Gaussian SplattingLight Field RenderingDifferentiable RenderingNeural CompressionHDR Standards (PQ, HLG)

Who should you write to at Genesis?

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About the role Genesis AI is building Nyx, a renderer that delivers offline quality at realtime performance, powered by next generation capture and rendering technology built on light fields and Gaussian splatting. We are looking for a principal level rendering engineer to own our light field pipelines end to end, from capture and training through Gaussian splats or other suitable representations all the way to color accurate output on real displays. Nyx is a hybrid renderer optimized for robotics scenarios. This is an ownership role, not a pure research position, where you will be responsible for the product itself rather than just the papers behind it. What you'll do Design and implement light field generation and reconstruction pipelines Build and optimize Gaussian splat generation, training, compression, and real-time rendering Own color science end to end: camera characterization, color spaces, tone mapping, HDR output, and display calibration Move research into production, turning papers (yours or others') into robust, performant code Collaborate with capture, ML, and platform teams to define the pipeline architecture What we're looking for PhD in computer graphics, computational imaging, computer vision, or a related field (or an equivalent research track record) Publications at venues such as SIGGRAPH, SIGGRAPH Asia, CVPR, ICCV, or EGSR Hands-on experience with radiance fields, 3D Gaussian splatting, or light field rendering beyond toy implementations Solid grounding in color science: colorimetry, camera ISP pipelines, and ACES or similar managed workflows Strong C++ and GPU programming (CUDA, compute shaders), plus Python for research tooling Nice to have Industry experience shipping capture, VFX, or real-time rendering products Differentiable rendering, novel view synthesis, or neural compression experience Familiarity with HDR standards (PQ, HLG) and display characterization Find more English Speaking Jobs in France on Arbeitnow

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