Neural Rendering & Graphics Engineer

Location: Bressanone

European Tech Recruit are working closely with a market leading 3D scanning company, based in Bressanone, who are looking for a talented  Neural Rendering & Graphics Engineer  to join their team.

In this role you will join a company that leverage state-of-the-art Computer Vision and Machine Learning algorithms to scan high quality, relightable 3D models of objects and products at scale.

You will develop rendering systems that bridge classical graphics with modern neural techniques, building pipelines for accurate BRDF estimation, differentiable light transport, and neural material synthesis.

Responsibilities as  Neural Rendering & Graphics Engineer:

Design and implement BRDF models and material representations, including neural and diffusion-based approaches for material acquisition and synthesis.

Develop differentiable rendering pipelines for inverse problems: material decomposition, relighting, and appearance transfer.

Build diffusion-based rendering pipelines that transform P  assets into photorealistic imagery.

Develop intrinsic image decomposition models for separating albedo, shading, and material properties from captured images.

Work with ML engineers, 3D reconstruction specialists, and software developers to deliver end-to-end solutions.

Stay current with related graphics research; identify opportunities to integrate new methods into production.

Engage with enterprise clients to understand rendering requirements across diverse use cases (e-commerce, AR/VR, CGI).

Requirements:

Strong foundation in rendering and graphics research, gained through a PhD or Master's degree combined with 3+ years of industry experience.

Proven track record in modern neural rendering techniques (NeRF, neural materials, inverse rendering).

Deep understanding of physically-based rendering: BRDFs (Cook-Torrance, GGX, measured materials), light transport, global illumination.

Experience with differentiable rendering frameworks (Mitsuba 3, nvdiffrast, or similar).

Proficiency in Python; working knowledge of C++ for graphics pipelines.

Experience with GPU programming (CUDA, OptiX, or shader languages).

Background in material measurement, gonioreflectometry, or appearance capture.

Familiarity with diffusion models or other generative techniques applied to textures/materials.

Experience with real-time engines (Unreal, Unity) or USD/MaterialX pipelines.

Published work or open-source contributions in graphics or neural rendering.

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