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Spatial Ai Jobs (NOW HIRING)

We are seeking a talented Senior Spatial Audio and Multimodal AI Researcher to join the Perceptual and Interactive Multimedia Computing team in the Multimodal Experiences Lab. We are a key research ...

Our internal research teams who continuously improve our spatial AI, require high-quality datasets for training new models, and explore entirely new product capabilities. * Our internal product and ...

New

Founding Account Executive

Seattle, WA · On-site

$100 - $125/hr

You will be the face of spatial AI for industries transitioning from analog to hyper-advanced tech. WHAT WE ARE LOOKING FOR * An Elite Track Record: 5+ years of verified, quota-exceeding sales ...

Spatial AI (e.g., SLAM/SfM, depth estimation, multi-view geometry with multimodal sensors) * Track record of publications at top-tier conferences (e.g., NeurIPS, ICML, ICLR, CVPR, ICCV, CoRL)

WI · On-site

$100 - $125/hr

Stay current with advances in computational design, geometry processing, and spatial AI--identifying and applying relevant techniques to Molg's challenges. You'll have the opportunity to build ...

Spatial AI (e.g., SLAM/SfM, depth estimation, multi-view geometry with multimodal sensors) * Track record of publications at top-tier conferences (e.g., NeurIPS, ICML, ICLR, CVPR, ICCV, CoRL)

Our breakthroughs in spatial AI allow Matic to work reliably in real homes, using only RGB cameras and neural networks running on-device. Privacy First What happens in the home, stays in the home.

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Spatial Ai information

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$100.5K

$123.1K

$153K

How much do spatial ai jobs pay per year?

As of Sep 9, 2026, the average yearly pay for spatial ai in the United States is $123,139.00, according to ZipRecruiter salary data. Most workers in this role earn between $114,500.00 and $128,000.00 per year, depending on experience, location, and employer.

What is Spatial AI?

Spatial AI refers to artificial intelligence systems designed to perceive, understand, and interact with the physical world in real time by processing spatial data. It combines elements of computer vision, 3D mapping, and sensor fusion to enable machines to interpret and respond to their environment, commonly used in robotics, augmented reality, and autonomous vehicles. Spatial AI technologies help machines understand objects, spaces, and movement, allowing for more advanced navigation and interaction within complex environments.

How does a spatial AI specialist typically collaborate with cross-functional teams on large-scale projects?

Spatial AI specialists often work closely with data scientists, software engineers, and domain experts to develop and deploy intelligent spatial solutions. Their role involves integrating geospatial data with machine learning models, requiring frequent communication to align on project objectives, data requirements, and deployment strategies. Collaboration is key, especially when interpreting spatial data outputs for non-technical stakeholders and adapting models based on feedback from end users. Strong teamwork skills help ensure that spatial insights are actionable and support broader organizational goals.

What are the key skills and qualifications needed to thrive as a spatial AI engineer, and why are they important?

To excel as a Spatial AI Engineer, you need a solid background in computer vision, machine learning, and spatial data analysis, often supported by a degree in computer science, engineering, or a related field. Familiarity with tools such as Python, TensorFlow, OpenCV, GIS software, and experience with 3D data processing are commonly required, along with relevant certifications in AI or spatial technologies. Creative problem-solving, strong analytical thinking, and effective communication are crucial soft skills that help bridge technical solutions and real-world applications. These skills enable the development of innovative AI-driven spatial solutions that are accurate, efficient, and effectively meet organizational or client needs.

What is the difference between Spatial Ai vs GIS Analyst?

AspectSpatial AiGIS Analyst
Required CredentialsTypically requires knowledge of AI, machine learning, and spatial data processingRequires degree in geography, GIS, or related field; certifications like GISP are common
Work EnvironmentTech-focused, often in software development or data science teamsGovernment agencies, environmental firms, urban planning departments
Industry UsageEmerging in industries leveraging AI for spatial data analysisEstablished in mapping, urban planning, environmental management
Search & Comparison IntentUnderstanding AI-driven spatial analysis rolesTraditional GIS data analysis and mapping roles

Spatial Ai focuses on applying artificial intelligence to spatial data, often involving machine learning and advanced algorithms. GIS Analysts primarily work with geographic information systems to analyze and visualize spatial data. While both roles handle spatial data, Spatial Ai emphasizes AI integration, whereas GIS Analysts focus on traditional GIS tools and methods.

What jobs are available for spatial Ai?

Jobs related to spatial AI include roles such as geospatial data analyst, GIS developer, remote sensing specialist, and spatial data scientist. These positions often require skills in geographic information systems, programming, and data analysis, and may involve working with tools like ArcGIS, QGIS, or Python. Opportunities are available in industries like urban planning, environmental management, transportation, and technology companies focused on location-based services.
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Infographic showing various Spatial Ai job openings in the United States as of September 2026, with employment types broken down into 1% Internship, 76% Full Time, 19% Part Time, and 4% Contract. Highlights an 63% Physical, 4% Hybrid, and 33% Remote job distribution, with an average salary of $123,139 per year, or $59.2 per hour.

Drone Pilot / Flight Test Engineer (Oregon)

Pendleton, OR • On-site

Other

Re-posted 7 days ago


Job description

Our work

We are a well capitalized stealth VC-backed startup building a new type of spatial AI capable of universally solving autonomy. We innovate at the foundational layer of AI by training our own AI models.


Our team

Our team is composed of AI pioneers and leaders from Google X, Google Brain, and Unity. Several of us are repeat founders, with deep commercialization insights across multiple enterprise segments. We enjoy long, deep ideations around entirely unexplored AI use cases in autonomy (cars, drones, robots). 


Technical skills

  • Experience flying custom built quadcopter, running ArduPilot.
  • Experience, finding the right components and building custom QuadCopters, FPV drones or similar RC vehicles
  • Experience piloting drone manually without GPS-assisted modes like altitude-hold and stabilize mode.
  • Experience debugging ArduPilot and/or PX4 issues on the field
  • Part 107 Holder
  • Familiar with ardupilot's EKF-3 Estimation code.
  • Knowledge of vision-based navigation systems
  • Comfortable with Python, C++ and linux.


Who you are

  • Learn it all: you have an innate curiosity for all things intellectual, and it’s something you can’t turn off. You obsess over finer details others miss.
  • High intensity: you thrive in a high-stakes environment, and are driven by an innate obsession, not by others.
  • Fast learner: you gravitate toward learning new things, and often find yourself learning more quickly than everyone around you.
  • Driven by discomfort: you enjoy leaving your comfort zone and challenging yourself
  • Creative: track record of solving hard problems with solutions worthy of academic papers
  • Educator: you take pride in your ability to communicate complex topics clearly and have excellent speaking and writing skills.
  • Zero ego: you don’t just take feedback, but truly see it as a gift. You don’t wait until feedback is given, but solicit it with every opportunity.
  • Founder mentality: you roll up your sleeves to help solve the most pressing problem on a given day, even if it has nothing to do with this job post.


Location

  • Based out of Oregon
  • Must be willing to travel


Day in the life

Expect to stretch your imagination daily as we are building a new AI capable of making robots ubiquitous. Expect to learn new skills every day, regardless of the level you’re currently at. We are a small team that supports each other. You will work closely with our AI experts but also product engineers.