Design and own the asset pipeline for a 3D simulation platform at a leading AI company focused on physical intelligence.
Posted by employer 4 months ago
First seen on Joblaze 1 month ago
Last verified on the company career page 23 hours ago
Skills & Technologies
Not disclosed in this posting: compensation, years of experience, visa sponsorship.
Joblaze summary
The Senior Asset Pipeline Engineer at Applied Intuition is responsible for designing and managing the asset pipeline that supports their Sensor Simulation platform, ensuring efficient movement of 3D assets across various tools and engines. This role requires deep expertise in OpenUSD, including schema design and automated pipeline development, as well as strong skills in material conversion and validation. Ideal candidates will have significant experience in pipeline engineering and simulation, particularly within automotive or robotics contexts. The position is a senior individual-contributor role that emphasizes collaboration with simulation and infrastructure teams.
Joblaze insights
Quick facts
From the original posting
Applied Intuition's Sensor Simulation platform lets automotive and robotics customers validate their perception systems against high-fidelity, physically accurate simulated sensor data. Behind that platform is a large, growing library of 3D simulation assets — and the content pipeline that produces them. We are investing in the next generation of that pipeline, built on OpenUSD, so our asset library can scale and stay portable across the authoring tools and simulation engines our customers depend on.
We are looking for a Senior Asset Pipeline Engineer to design and own that pipeline — a senior individual-contributor role at the intersection of pipeline engineering, OpenUSD architecture, and simulation infrastructure. You will own the design end-to-end and make the core architecture decisions, partnering with our simulation and infrastructure teams to take the system from design through production.
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 — not just visual appearance
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
Deep, practical OpenUSD composition expertise — references, variants, payloads, inherits, specializes — designing and debugging composition stacks, not just consuming USD files
3+ Years 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 (not prototypes or research)
Managed USD at library scale: versioning, identifier and namespace conventions, and validation across thousands of assets
At minimum, a Bachelors degree in STEM or a related field.
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 — a strong signal for someone who thinks in USD
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 — beyond visual quality
Automotive, defense, or robotics simulation experience: contexts where sensor fidelity matters beyond visual aesthetics (ROS 2 / scene assembly a plus)
Standard company text repeated across Applied Intuition's postings is omitted here.