Senior Asset Pipeline Engineer, Sim-Ready Content

About This Opportunity

We are representing a confidential simulation technology company that is building next-generation platforms for robotics and embodied AI training. They need a Senior Asset Pipeline Engineer to solve one of the hardest problems in simulation at scale: getting thousands of 3D assets from raw input to production-ready state without manual intervention.

This is a remote role focused on building intelligent, agent-driven pipelines that can process geometry from multiple sources, make autonomous decisions about mesh quality and physical properties, and output assets that are both visually convincing under path tracing and physically valid in simulation. You'll be engineering systems where AI agents are first-class pipeline nodes—generating content, interpreting meshes, selecting parameters, and validating outputs with the guardrails and retry logic that make non-deterministic processes dependable at batch scale.

Responsibilities

• Build and maintain the end-to-end asset pipeline from ingestion through validated, sim-ready output
• Design agent-driven pipeline nodes that generate content and make processing decisions, with structured outputs, fallback strategies, and verification layers
• Develop automated processing stages: mesh repair, retopology, decimation, LOD generation, UV unwrapping, texel density normalization, and collision proxy creation
• Derive and validate physical properties including mass, inertia, contact parameters, and articulation setup so assets behave correctly in simulation
• Handle material conversion to PBR, texture processing, baking, and color management for path-traced rendering
• Define and enforce asset standards (units, orientation, pivots, naming, provenance) with validators that reject noncompliant content before it reaches the library
• Scale the pipeline to large batch processing with caching, versioning, and selective reprocessing when stages change
• Build quality checks directly into the pipeline: physics stability tests, render smoke tests, automated evaluation of generated content, and regression detection on reprocessed assets
• Collaborate with rendering, physics, and research teams to define what sim-ready means for each downstream use case

What We're Looking For

• 5+ years building content or asset pipelines in games, VFX, simulation, or 3D tooling, with ownership of a pipeline that shipped to production
• Deep knowledge of 3D asset formats and their edge cases: USD, glTF, FBX, OBJ, plus physics description formats like URDF or MJCF
• Strong Python skills and C++ where processing performance matters
• Hands-on mesh processing expertise: remeshing, decimation, UV generation, repair operations, convex decomposition, and a clear understanding of how each technique fails
• Solid command of PBR material authoring, texture baking, and color space management
• Experience driving DCC tools headlessly (Blender, Houdini, Maya) and building batch or distributed job systems around them
• Practical experience putting LLM or agent calls into production: prompting, tool use, structured output, cost and latency control, and handling non-determinism
• Understanding of what makes an asset physically valid in simulation: visual versus collision geometry, mass properties, contact behavior, and numerical stability
• Strong judgment about quality thresholds—knowing when an asset is good enough and when it requires human review

Nice to Have:

• Experience processing output from generative or reconstruction-based 3D sources and evaluating that output programmatically
• Agent frameworks, orchestration, and evaluation tooling applied to content generation
• OpenUSD at scale: composition, layering, MaterialX
• Semantic annotation and dataset curation at volume
• Exposure to simulation platforms such as MuJoCo, Isaac Sim, or similar

How We Work With You

Candidates apply directly through Get A Job.ai. Our talent team will screen your application and conduct an initial interview. If there's a match, we'll submit your profile to our client for consideration. Please do not attempt to contact the client directly—all communication and scheduling will flow through Get A Job.ai to ensure a smooth and professional process.

Pay

Compensation details will be discussed during the screening process based on experience and location.

Equal Opportunity: Get A Job.ai is committed to inclusive hiring practices. We welcome applicants from all backgrounds and work with clients who share that commitment.