Rendering Engineer, Light Fields
Genesis · Paris
What this role requires
4 requirements, read out of the advert rather than guessed from the job title:
Also mentioned, not required: Python, Gaussian splatting, color science, colorimetry, camera ISP pipelines, ACES. Worth having, but their absence is not what gets a CV filtered out.
Free, no card. Tells you which of them your CV evidences and which it only implies.
Job description
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
Read the full description (13 more sections)Show less
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
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