Neural Radiance Fields (NeRF) Jobs
Computer vision roles requiring Neural Radiance Fields (NeRF) expertise, across all industries and experience levels.
Open Positions
What is Neural Radiance Fields (NeRF)?
Neural radiance fields represent a scene as a continuous function mapping position and viewing direction to colour and density, rendered through volumetric integration to synthesise photorealistic novel views. Gaussian splatting has since largely displaced NeRF in practice by achieving comparable quality with real-time rendering.
Where Neural Radiance Fields (NeRF) is used
Capturing real spaces and objects for AR and virtual production, e-commerce 3D product views, digital twins, and simulation environments built from real-world capture.
Roles that ask for Neural Radiance Fields (NeRF)
- 3D Vision Engineer
- Research Scientist, 3D
- Graphics Engineer
- Computer Vision Engineer
- Reconstruction Engineer
Related skills & tools
Neural Radiance Fields (NeRF) jobs — common questions
Has Gaussian splatting made NeRF obsolete?
For most production use, largely yes — 3D Gaussian splatting renders in real time and trains far faster. NeRF-style implicit representations remain preferred where a continuous, compact or editable representation matters, and the underlying volume rendering theory is shared.
What background do these roles want?
Graphics as much as vision: ray marching, volume rendering, and usually CUDA for custom rasterisation kernels. Camera pose estimation from COLMAP is the standard front end, so multiple view geometry is assumed.
Is this a large hiring area?
Small but well paid and highly concentrated — AR/VR platforms, virtual production, mapping companies, e-commerce 3D capture and simulation vendors. Expect a research-leaning bar.