Spatial Computing Engineer

Schemata; San Francisco, Northern (CA, KY); Hybrid; USD 140,000 - 200,000; Full time

Benefits offered by this job

Competitive salary

Equity stake

Comprehensive health coverage

401(k) plan

Paid parental leave

Job summary

Schemata is building spatial intelligence platforms that turn complex 3D data into actionable world models for advanced simulation and training. We seek a Spatial Computing Engineer to own end-to-end development from research prototypes to production inference, ensuring real-time understanding of diverse environments.

You will work across cross‑functional teams, shaping 3D scene understanding with cutting‑edge AI, while profiling performance and scaling across GPUs and cloud/edge targets.

Qualifications

• PhD or 4+ years depth in 3D computer vision, robotics perception, graphics-ML or related field.
• Strong Python with deep-learning frameworks (PyTorch); confident in CUDA or compute-shader programming.
• Hands-on with 3D data types: point clouds, meshes, NeRF/LERF representations, SLAM or occupancy networks.
• Solid grounding in linear algebra, geometry and numerical optimization.
• Demonstrated ability to convert research into reliable, maintainable production code and services.

Responsibilities

• Design data pipelines that convert heterogeneous 3D assets into unified scene-graphs and knowledge graphs.
• Integrate multimodal foundation models with spatial data for diagnostics and autonomous evaluation.
• Implement GPU-accelerated training/inference and synthetic-data generation in cloud and edge environments.
• Collaborate with graphics and product engineers to ship mission-critical features blending neural perception with real-time rendering.
• Profile and optimize performance across varied hardware configurations for fidelity, latency and memory.
• Publish internally, attend CVPR/NeurIPS/SIGGRAPH and translate research into production capabilities.

Skills

Python

PyTorch

CUDA

3D computer vision

NeRF/LERF

SLAM

Real-time rendering

Education

PhD or 4+ years depth in 3D CV/graphics-ML

Tools

CUDA Toolkit

Compute Shaders

Cloud/Edge deployment

Job description

Help us build the world's best spatial intelligence products

Spatial Computing Engineer

Location

Employment Type

Full time

Location Type

Hybrid

Department

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

• Design data pipelines that convert heterogeneous 3D assets (CAD, photogrammetry, LiDAR, simulation output) into unified, queryable scene‑graphs and knowledge graphs.


• Integrate multimodal foundation models (LLMs, VLMs) with spatial data to power diagnostics, step‑by‑step instruction and autonomous evaluation in virtual‑training scenarios.


• Implement GPU‑accelerated training/inference, synthetic‑data generation and large‑scale evaluation workflows in cloud and edge environments.


• Collaborate with graphics and product engineers to ship mission‑critical features that blend neural perception with real‑time rendering.


• Profile and optimize performance across varied hardware configurations, balancing fidelity, latency and memory.


• Publish internally, attend CVPR / NeurIPS / SIGGRAPH, and translate the latest research into production capabilities.


• PhD or 4 + years equivalent depth in 3D computer vision, robotics perception, graphics‑ML or related field.


• Strong Python with deep‑learning frameworks (PyTorch ); confident in CUDA or compute‑shader programming.


• Hands‑on with 3D data types: point clouds, meshes, NeRF/LERF representations, SLAM or occupancy networks.


• Solid grounding in linear algebra, geometry and numerical optimization.


• Demonstrated ability to convert research into reliable, maintainable production code and services.


• Experience profiling GPU workloads and scaling distributed training or real‑time inference pipelines.

Nice to Have

• Tier‑1 conference publications (CVPR, NeurIPS, SIGGRAPH) or open‑source contributions in 3D AI.


• Defense, aerospace or other regulated‑industry experience; active or ability to obtain U.S. security clearance.

Why Join Us?

• Competitive salary that reflects your experience and track record


• Meaningful equity stake in a high-growth, venture-backed defense tech startup, so you share in the upside you help create


• Comprehensive health coverage: medical, dental, and vision insurance


• 401(k) plan


• Paid parental leave


• High visibility and real impact: Collaborate with world‑class engineers and researchers in a high‑ownership environment.


• Experience the future of spatial intelligence