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Applied IntuitionApplied IntuitionSunnyvale, CA

Senior Asset Pipeline Engineer

Design and own the OpenUSD-based asset pipeline for a high-fidelity sensor simulation platform. Build automated DCC-to-engine pipelines, custom schemas, material conversion, and validation systems at library scale.

151k – 230k
On-site5+ YOEDevOps / SRE

About the role

Responsibilities

  • Design the OpenUSD schema and composition strategy — references, variants, payloads, custom schemas — for a large, versioned 3D asset library that must scale across authoring tools and simulation engines
  • Build and own automated pipelines that move assets between DCC tools and real-time/simulation engines, removing manual hand-offs
  • Define automated validation gates that catch asset-integrity and fidelity issues in CI, before they reach production
  • Solve material conversion for simulation: translate complex authored materials into USD-native representations (UsdShade, and MDL where needed) while preserving the physical fidelity sensor simulation requires
  • Design the asset metadata strategy that powers discovery, semantic labeling, and downstream tooling
  • Take the pipeline from design through production — observability, reliability, and a smooth experience for the content authors who depend on it

Requirements

  • Deep, practical OpenUSD composition expertise — references, variants, payloads, inherits, specializes — designing and debugging composition stacks
  • Experience authoring and validating custom USD schemas (API and applied schemas)
  • Strong UsdShade material expertise: authoring, validating, and converting complex material networks
  • Built and owned automated DCC-to-engine pipelines in production — version-controlled Python that runs in CI, with real downstream users
  • Managed USD at library scale: versioning, identifier and namespace conventions, and validation across thousands of assets

Nice-to-Haves

  • NVIDIA Omniverse / Isaac Sim: Kit extensions (Python or C++), USD ingest, and Replicator / synthetic-data-generation pipelines
  • Houdini LOPs: native USD authoring and procedural scene graphs
  • MDL (Material Definition Language): physically-based material authoring and portability across renderers
  • Sensor simulation domain knowledge: how material properties (reflectance, roughness, emissivity) drive lidar, radar, and camera outputs
  • Automotive, defense, or robotics simulation experience: contexts where sensor fidelity matters beyond visual aesthetics (ROS 2 / scene assembly a plus)

Skills

OpenusdUsd CompositionUsdshadePythonCI/CDDcc PipelinesNvidia OmniverseHoudini LopsMdlRos 2

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