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Spatial Intelligence Jobs (NOW HIRING)

Schemata

$140 - $200/hr

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 ...

Schemata

Spatial Computing Engineer

San Francisco, CA · On-site

$140 - $200/hr

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 ...

Vantor

GIS Engineer (Mid)

Reston, VA · On-site

Vantor is forging the new frontier of spatial intelligence, helping decision makers and operators navigate what's happening now and shape what's coming next. The GIS Engineer role involves designing ...

Niantic Spatial, Inc

Head of Legal

San Francisco, CA · On-site

$270K - $340K/yr

Powered by a proprietary database of over 30 billion posed images, our groundbreaking mapping technology unlocks a new dimension of interaction and spatial intelligence that helps both humans and ...

Pear

UI/UX Designer

San Francisco, CA · On-site

Translate complex spatial intelligence concepts into clear, intuitive interfaces that enterprise engineers love to use. Website & Marketing : Design website landing pages, product demos, and ...

Amazon

Applied Scientist, Fauna

Sunnyvale, CA

We are seeking an Applied Scientist to focus on Robotics Spatial Intelligence and Semantic Understanding. In this role, you'll research and build advanced semantic and world understanding algorithms ...

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How much do spatial intelligence jobs pay per year?

As of Sep 1, 2026, the average yearly pay for spatial intelligence in the United States is $100,573.00, according to ZipRecruiter salary data. Most workers in this role earn between $73,500.00 and $132,500.00 per year, depending on experience, location, and employer.

What is spatial intelligence?

A Spatial Intelligence job involves analyzing and interpreting spatial data to identify patterns, trends, and relationships in geographic or built environments. Professionals in this field use GIS (Geographic Information Systems), remote sensing, and data visualization tools to support decision-making in industries like urban planning, logistics, environmental management, and defense. They help organizations optimize resources, improve efficiency, and solve complex spatial problems. Strong analytical skills, proficiency in mapping software, and an understanding of spatial relationships are essential for success in this role.

What does someone in spatial intelligence do?

Professionals in Spatial Intelligence often work on projects involving spatial data analysis, mapping, and the creation of geospatial models to support organizational decision-making. Their responsibilities may include collecting and processing geographic data, conducting site suitability analyses, performing spatial risk assessments, and generating detailed maps or visual reports for stakeholders. They typically collaborate with urban planners, engineers, data scientists, and decision-makers to integrate spatial perspectives into broader business strategies. day can vary between intensive data analysis, meeting with project teams, and presenting findings to clients or leadership. This dynamic role offers the opportunity to make significant impacts on projects such as urban development, environmental conservation, and transportation planning.

What are the key skills and qualifications needed for spatial intelligence?

To excel in a Spatial Intelligence role, individuals typically need a strong background in geospatial analysis, GIS (Geographic Information Systems), and spatial data interpretation, often supported by a degree in geography, urban planning, data science, or a related field. Familiarity with specialized software such as ArcGIS, QGIS, remote sensing tools, and spatial databases is essential, and certifications in GIS or remote sensing are highly valued. Strong analytical thinking, attention to detail, and effective communication are important soft skills for translating complex spatial data into actionable insights. These skills ensure the professional can deliver accurate spatial analyses that inform decision-making across industries such as urban planning, environmental management, and logistics.

Is geospatial intelligence a good career?

Geospatial intelligence is a growing field that involves analyzing geographic data using tools like GIS and remote sensing. It offers opportunities in government, defense, and private sectors, often requiring technical skills and security clearances. The career can be stable and rewarding for those interested in spatial analysis and technology.

What careers use spatial intelligence?

Careers that utilize spatial intelligence include architecture, engineering, urban planning, surveying, and graphic design. These roles often require strong visualization skills, proficiency with design software, and the ability to interpret spatial data and diagrams.
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What cities are hiring for Spatial Intelligence jobs?

Cities with the most Spatial Intelligence job openings:

What are the most commonly searched types of Spatial Intelligence jobs?

The most popular types of Spatial Intelligence jobs are:

What states have the most Spatial Intelligence jobs?

States with the most job openings for Spatial Intelligence jobs include:

What job categories do people searching Spatial Intelligence jobs look for?

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spatial intelligence jobs near you
Infographic showing various Spatial Intelligence job openings in the United States as of August 2026, with employment types broken down into 89% Full Time, 8% Part Time, and 3% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $100,573 per year, or $48.4 per hour.

Spatial Computing Engineer

On-site

Schemata
See more jobs at Schemataexternal

$140 - $200/hr

Other

Medical, Dental, Vision, Retirement

This job post has expired today. Applications are no longer accepted.

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

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