Neural Rendering & Graphics Engineer

Neural Rendering & Graphics Engineer

We are looking for a Neural Rendering & Graphics Engineer with strong foundations in physically-based rendering and material modeling. 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.

This role requires someone who thinks deeply about how light interacts with surfaces and can translate that understanding into both forward rendering and inverse problems. If you’re excited about combining graphics research with production systems that serve world-class clients at scale, this is for you.

Key Responsibilities

Rendering & Material Systems

• 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 PBR assets into photorealistic imagery.
• Develop intrinsic image decomposition models for separating albedo, shading, and material properties from captured images.

Collaboration & Exploration

• 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).

Qualifications

Required:

• 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.

Nice to Have:

• 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.