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Applied Intuition

Robot type
Autonomous Vehicle · Robot AI and Software
Location
SunnyvaleCaliforniaUSA
Job type
Hardware
Posted
Jun 11, 2026
Salary
$151,000–$230,000 a year
Full-time

Senior Asset Pipeline Engineer - Sensor Platform

Job description

Applied Intuition, Inc. is powering the future of physical AI. Founded in 2017 and now valued at $15 billion, the Silicon Valley company is creating the digital infrastructure needed to bring intelligence to every moving machine on the planet. Applied Intuition services the automotive, defense, trucking, construction, mining and agriculture industries in three core areas: tools and infrastructure, operating systems, and autonomy. Eighteen of the top 20 global automakers, as well as the United States military and its allies, trust the company’s solutions to deliver physical intelligence. Applied Intuition is headquartered in Sunnyvale, California, with offices in Washington, D.C.;

Job 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 — not…
  • 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

Job requirements

  • Deep, practical OpenUSD composition expertise — references, variants, payloads, inherits, specializes — designing and debugging composition stacks, not just consuming USD files
  • 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

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