Compose a scene
Write and debug composition arcs, know when each one applies, and reason through LIVERPS conflicts.






























NCP-OUSD is a Professional exam for OpenUSD pipeline developers, suited to two to three years with OpenUSD and Python or C++. Composition is the largest domain at 23%: writing, using and debugging the arcs that combine layers, including hard LIVERPS cases. The rest covers data modeling, data exchange, pipelines, scene aggregation with instancing, visualization and debugging stages.
Write and debug composition arcs, know when each one applies, and reason through LIVERPS conflicts.
Work with prims, attributes, relationships, primvars, value types and time samples in the Usd and Sdf layers.
Write importers, exporters and mapping documents that carry data in and out of OpenUSD.
Inspect stages, fix badly authored data, cut load and render times, and flatten assets for delivery.
We design this course ourselves. NVIDIA runs the exam and issues the credential, and LUNARTECH is independent of NVIDIA.
Before composing anything, you need the model underneath it. You work with the Usd and Sdf layers, learn what a prim, attribute and relationship hold, and see how types, metadata and time samples are authored and read.
You build A Python script that authors a small layer and reads it back through a stage.
Composition is how USD builds one scene from many files. You stack layers, bring in other assets with references and payloads, and learn how opinions combine into the value you finally see.
You build A scene assembled from sublayers, references and a payload, with the opinion order documented.
Strength ordering decides which opinion wins. You learn LIVERPS, use inherits and specializes, work through cases where arcs interact in surprising ways, and predict a result before you run the code.
You build A set of composition puzzles, each with a prediction checked against the stage.
Variants and overrides let many artists change one scene without touching its source. You author variant sets and selections, set fallbacks, and layer overrides so that any change can be traced and removed.
You build An asset with variants and a department override layer that changes it without editing the source.
When a scene looks wrong, the cause is usually one opinion in one layer. You use stage inspection tools and composition queries to trace values to their source, and find badly authored data before it spreads.
You build A debugging guide with five broken scenes and the trace that explains each.
Reusable assets need structure. You build components and assemblies with proper model kinds, organize asset layers, and keep packaging consistent so that teams can swap parts and trust what they get.
You build A modular component library and an assembly built from it.
Large scenes depend on sharing. You use native instancing and point instancers to reduce memory, decide where each applies, and override properties on instanced models without losing the sharing.
You build An instanced scene with overrides and a memory comparison against the uninstanced version.
Most scenes are meshes, cameras, materials and lights. You author them through their schemas, assign materials by binding, set primvars and units, and check the results in a viewer.
You build A small lit scene with a bound material network and a camera, authored in code.
Sometimes the built-in schemas are not enough. You define custom schemas and generate their code, write file format plugins, and set model kinds and variant fallbacks that match how your studio works.
You build A custom API schema, built and registered, used in a working scene.
Data exchange decides how well USD fits a pipeline. You plan mapping documents for another tool’s data, write importers and exporters, preserve units, axes and naming, and check what survives a round trip.
You build A mapping document and a working exporter for a simple scene format.
A pipeline is more than scripts. You design asset structure and versioning, add exporter hooks, build and package tools reliably, and flatten assets for delivery to systems that cannot compose layers.
You build A publishing pipeline that versions an asset, runs checks and flattens it for delivery.
Slow stages cost every artist time. You measure stage open time and render cost, find the layers, prims and settings that cause them, and apply payloads, instancing and cleanup to bring both down.
You build A performance report that cuts the load time of a heavy scene, with before and after numbers.
Build a miniature production pipeline. You author modular assets, assemble a scene with variants and instancing, extend it with a custom schema, move data in from another tool, and debug and optimize the result.
You build A working mini pipeline: modular assets, an assembled scene, a custom schema and a delivery step.

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NVIDIA designs the GPUs and much of the software that AI runs on. It runs this certification program itself: the exams are online and proctored remotely, and passing earns a digital badge. LUNARTECH is independent of NVIDIA.
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No single job owns it. Here’s where each role leans hardest, and where its work ends up.
Every studio tool has to speak the same scene. Exporters and hooks make that happen.
Pipelines, Data exchange, Composition
Visual effects and animation, Game development
Heavy scenes need instancing to stay usable. Materials and lights make them readable.
Aggregation, Visualization, Data modeling
Visual effects and animation, Game development, Industrial design
A digital twin is only as good as its data. Exchange and modeling keep it trustworthy.
Data exchange, Data modeling, Debugging
Robotics simulation, Digital twins
Custom schemas extend USD to your domain. Debugging composition saves days of guesswork.
Customizing, Debugging, Composition
Digital twins, Architecture and engineering
Simulated worlds need clean, composable scene data. Layers let teams change one part without breaking the rest.
Aggregation, Data modeling
Robotics simulation, Digital twins
Shots pass through many tools and many hands. A sound pipeline keeps their work from colliding.
Composition, Pipelines
Visual effects and animation, Game development
A twin has to stay in sync with the factory it mirrors. Aggregation and instancing keep large scenes workable.
Aggregation, Visualization, Customizing
Digital twins, Industrial design
Design files from different tools need one shared scene. Clear data models make that exchange predictable.
Data exchange, Data modeling
Industrial design, Architecture and engineering
Every studio tool has to speak the same scene. Exporters and hooks make that happen.
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Updated November 2026.
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60–70 questions, 120 minutes, online, proctored, in English.
NVIDIA recommends about two to three years working with OpenUSD and Python or C++, or finishing its study guide materials.
2 years. Retake the exam.
We last reviewed it on 5 November 2026, from NVIDIA’s own pages. Details change, so check the official page before you book.
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Prove you can build and debug 3D pipelines in OpenUSD. Start with a free trial, or enroll in a plan and work through the course at your own pace. NVIDIA runs the exam and issues the credential.
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