Senior Spatial Computing Engineer — 3D AI & Real-Time

Schemata; San Francisco (CA); On-site; USD 180,000 - 240,000; Full time

Benefits offered by this job

Competitive salary

Meaningful equity stake

Comprehensive health coverage

401(k) plan

Paid parental leave

High visibility and impact

Job summary

Schemata in San Francisco seeks a highly specialized Spatial Computing Engineer to design and optimize 3D and spatial intelligence pipelines that transform raw capture data into actionable world models for next‑generation simulation and training.

You will work end‑to‑end from research prototypes to production inference, collaborating with graphics and product engineers to ship features blending neural perception with real‑time rendering.

Qualifications

• PhD with 3DGS-related work or 4+ years industry experience in 3D CV, robotics, graphics, segmentation, or VLM/MLLM model training and application.
• Strong programming skills and understanding of applied deep-learning frameworks and model architectures.
• Hands-on experience with 3D data types: point clouds, meshes, 3DGS representations.
• 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.

Responsibilities

• Research, prototype, and fine-tune state-of-the-art methods for 3D reconstruction, segmentation, and feature embedding (e.g., 3DGS, DINO, RoPE, FlowR models).
• Design data pipelines that convert heterogeneous inputs (CAD, LiDAR, mesh, simulation output) into unified, queryable scene-graphs.
• Integrate multimodal foundation models (LLMs, VLMs) with spatial representations to power real-time diagnostics, step-by-step instruction and autonomous evaluation in 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.
• Publish internally, attend CVPR / NeurIPS / SIGGRAPH, and translate the latest research into production capabilities.

Skills

PhD in 3DGS

Deep learning

3D data types

Linear algebra

Production code

GPU profiling

Education

PhD in 3DGS

BS or MS in related field

Tools

GPU acceleration

Job description

Schemata in San Francisco seeks a highly specialized Spatial Computing Engineer to design and optimize 3D and spatial intelligence pipelines that transform raw capture data into actionable world models for next‑generation simulation and training.

You will work end‑to‑end from research prototypes to production inference, collaborating with graphics and product engineers to ship features blending neural perception with real‑time rendering.