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The role involves designing and implementing end-to-end light field generation and reconstruction pipelines for the Nyx renderer. The engineer will be responsible for optimizing Gaussian splatting and managing the entire color science workflow from capture to display.
Candidates need a PhD in computer graphics or a related field with a strong publication record at venues like SIGGRAPH or CVPR. Proficiency in C++, CUDA, and Python, along with deep expertise in radiance fields and colorimetry, is required.
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.
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
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
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
The Global AI Network. Buy and sell AI technologies at scale.
GenesisAI is an AI API hub that allows software engineers to discover, test, and integrate AI APIs. Raised $5M+. Invest in GenesisAI: https://netcapital.com/companies/genesisai
Offices: 125 Western Ave, Boston, Massachusetts 02163, US
