Spatial Computing Engineer — Real-Time 3D AI

Schemata; San Francisco (CA); On-site; USD 190,000 - 280,000; Full time

Benefits offered by this job

Competitive equity

Top-tier benefits

In-person SF culture

Job summary

Schemata in San Francisco is hiring a Spatial Computing Engineer to design and optimize 3D scene-understanding systems and multimodal AI pipelines. You will drive end-to-end work from research prototypes to production inference, targeting real-time responses across diverse deployment targets.

You will collaborate with graphics and product engineers to ship mission-critical features, profile GPU workloads, and push the boundaries of 3D perception, robotics, and neural rendering in regulated

Qualifications

• PhD or equivalent depth in 3D CV, robotics perception, graphics-ML.
• Strong Python with DL frameworks (PyTorch).
• Hands-on with 3D data types: point clouds, meshes, NeRF/LERF representations.

Responsibilities

• Research and prototype state-of-the-art methods for 3D reconstruction and world-model learning.
• Design pipelines to convert CAD, LiDAR, and sim outputs into scene graphs.
• Integrate multimodal models with spatial data for diagnostics and evaluation.
• Implement GPU-accelerated training/inference and large-scale evaluation.
• Collaborate with graphics and product engineers to ship features.
• Profile and optimize performance across hardware for latency/memory balance.
• Publish internally and contribute to CVPR/NeurIPS/SIGGRAPH activities.

Skills

PhD or 4+ years experience

3D computer vision

PyTorch

CUDA programming

Spatial data structures

Education

PhD or equivalent in 3D vision / robotics

Tools

CUDA

Compute shaders

GLSL

Job description

Schemata in San Francisco is hiring a Spatial Computing Engineer to design and optimize 3D scene-understanding systems and multimodal AI pipelines. You will drive end-to-end work from research prototypes to production inference, targeting real-time responses across diverse deployment targets.

You will collaborate with graphics and product engineers to ship mission-critical features, profile GPU workloads, and push the boundaries of 3D perception, robotics, and neural rendering in regulated