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$100.6K

$133K

How much do spatial intelligence jobs pay per year?

As of Jul 23, 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 are some of the typical projects or responsibilities for someone working in Spatial Intelligence?

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 jobs are good for spatial skills?

Jobs that require strong spatial skills include roles such as architects, urban planners, surveyors, and GIS specialists. These positions involve visualizing and manipulating objects or data in space, often using tools like CAD software or geographic information systems, and may require relevant certifications or technical training.

What can you do with spatial intelligence?

Spatial intelligence in a job context involves analyzing and interpreting spatial data to solve problems related to geography, architecture, urban planning, or navigation. Professionals use tools like GIS software, CAD programs, and mapping technologies to create models, optimize layouts, and support decision-making. Developing this skill can lead to roles in fields such as cartography, surveying, or spatial data analysis.

What careers use spatial intelligence?

Careers that utilize spatial intelligence include architects, urban planners, surveyors, graphic designers, and engineers. These roles often require strong visualization skills, proficiency with design or mapping software, and the ability to interpret and manipulate spatial data.

What are the key skills and qualifications needed to thrive in the Spatial Intelligence position, and why are they important?

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.

What is a Spatial Intelligence job?

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 are the signs of a person with a high spatial intelligence?

A person with high spatial intelligence, relevant to roles like spatial intelligence analysts or designers, often demonstrates strong visualization skills, the ability to mentally manipulate objects, and good spatial reasoning. They excel at tasks involving maps, diagrams, or 3D models and may have a talent for architecture, engineering, or graphic design. These skills are valuable in environments that require precise spatial awareness and problem-solving involving physical space.
More about Spatial Intelligence jobs
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? The top searched job categories for Spatial Intelligence jobs are:
Spatial Intelligence jobs near you
Infographic showing various Spatial Intelligence job openings in the United States as of July 2026, with employment types broken down into 89% Full Time, 8% Part Time, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $100,573 per year, or $48.4 per hour.
Senior Software Engineer, Spatial Intelligence and Foundation Models

Senior Software Engineer, Spatial Intelligence and Foundation Models

Nvidia

Santa Clara, CA

$143K - $189K/yr

Full-time

Posted 7 days ago

Nvidia rating

9.6

Company rating: 9.6 out of 10

Based on 17 frontline employees who took The Breakroom Quiz

5th of 215 rated software companies

Job description

NVIDIA is seeking a Software Engineer to join our Isaac Spatial Intelligence team within the Isaac Engineering org! You will join a group of world-class robotics software and applied research engineers focused on geometric and semantic understanding, and reasoning for robots - building the perception systems that turn raw sensor data into actionable world understanding, shaping the future of physical AI!

What you'll be doing:

  • Design, implement, and deploy novel algorithms for spatial understanding, working on problems ranging from SLAM, structure-from-motion, optical flow, scene flow, and object reconstruction to training VLMs on a wide range of spatial reasoning skills.

  • Develop robust perception, mapping, and reasoning systems that run on robots, in simulation, and at scale in data pipelines for training foundation models.

  • Advance the state of the art in geometric computer vision, combining classical multi-view geometry and optimization with modern deep learning approaches.

  • Train and evaluate vision-language models on skills relevant to robotics.

  • Work closely with the Cosmos and GR00T teams on perception and spatial understanding for foundation models and collaborate with other Isaac teams including Sim/Lab, Platform and SQA to deploy, validate, extend and release capabilities & features on physical robots as well as in at-scale simulations.

  • Contribute to the effective integration, validation, and release of applied research efforts in collaboration with research teams and on top of NVIDIA's advanced robotics platforms.

  • Foster a culture of innovation and collaboration, supporting deliverables such as prototypes, open source software contributions, patents, and publications.

  • Collaborate cross-functionally with product, hardware, and software teams to translate engineering work into impactful products.

What we need to see:

  • PhD or Master's degree in Computer Science, Robotics, or a related field (or equivalent experience).

  • 8+ years of experience working on computer vision, robotics, or deep learning technologies.

  • Strong foundation in 3D geometric computer vision: multi-view geometry, visual odometry/SLAM, structure-from-motion, or dense correspondence (optical flow, scene flow, stereo).

  • Strong hands-on programming skills in Python and/or C++; experience with Deep Learning frameworks (PyTorch, JAX, TensorFlow).

  • Experience training and evaluating deep learning models for perception tasks; familiarity with vision-language models is a strong plus.

  • Strong skills in agentic tool use - proficiency working with AI coding agents and agentic workflows (e.g., Claude Code, Cursor, Codex) to accelerate development, testing, and experimentation.

  • Excellent communication, organizational, and interpersonal skills.

Ways to stand out from the crowd:

  • Contributions to widely used SLAM, SfM, or 3D reconstruction systems (open source or shipped products).

  • Experience with large-scale model training on GPU clusters, including VLMs or other foundation models.

  • Publications at top computer vision or robotics venues (CVPR, ICCV, ECCV, ICRA, IROS, RSS, CoRL).

  • Hands-on experience with simulation-based training and evaluation, sim-to-real and real-to-sim transfer.

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 184,000 USD - 287,500 USD for Level 4, and 224,000 USD - 356,500 USD for Level 5.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until July 20, 2026.

This posting is for an existing vacancy.

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

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Hours and flexibility

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About Nvidia

Sourced by ZipRecruiter

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It's a unique legacy of innovation that's fueled by great technology--and amazing people. Today, we're tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what's never been done before takes vision, innovation, and the world's best talent.

Industry

Computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Santa Clara, CA, US

Year founded

1993

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