ashby
Spatial Computing Engineer
Schemata
San Francisco, USA
Full-time
Mid · 4+ years experience
Hybrid
Discovered 1 weeks ago
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Role Overview
We are seeking a highly skilled Spatial Computing Engineer to join our team full‑time.
You will play a foundational role in designing, building and optimizing the 3D‑scene‑understanding systems and multimodal AI pipelines that turn raw spatial data into actionable world models for next‑generation simulation and training applications.
This is a high‑impact, cross‑functional role: you will work end‑to‑end from cutting‑edge research prototypes to production inference and performance profiling, ensuring our applications understand complex environments and respond in real time across diverse deployment targets.
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Full Job Posting
About Schemata
At Schemata, we are transforming the $400 B virtual‑training and simulation market by fusing 3D computer vision, neural rendering and large multimodal models inside highly regulated industries. Our platform delivers photorealistic, intelligent 3D experiences, demanding robust spatial reasoning, high‑performance data pipelines and seamless integration between traditional graphics and AI‑driven perception.
About the Role
We are seeking a highly skilled Spatial Computing Engineer to join our team full‑time. You will play a foundational role in designing, building and optimizing the 3D‑scene‑understanding systems and multimodal AI pipelines that turn raw spatial data into actionable world models for next‑generation simulation and training applications.
This is a high‑impact, cross‑functional role: you will work end‑to‑end from cutting‑edge research prototypes to production inference and performance profiling, ensuring our applications understand complex environments and respond in real time across diverse deployment targets.
Core Responsibilities
- Research and prototype state‑of‑the‑art methods for 3D reconstruction, segmentation, spatial reasoning and world‑model learning (e.g., NeRF/LERF‑style multimodal models).
- Design data pipelines that convert heterogeneous 3D assets (CAD, photogrammetry, LiDAR, simulation output) into unified, queryable scene‑graphs and knowledge graphs.
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