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Spatial Computing 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 ...

nulitics

Online Sales Representative

Frisco, TX

$50K - $120K/yr

Company Overview Nulitics.com is a cutting-edge software vendor specializing in spatial computing and IoT digital twin technology . We provide businesses with innovative digital solutions that ...

Navigate AI

AI Engineer

Manhattan, NY · On-site

$100 - $125/hr

S. and have early traction combining AI, spatial computing, and video intelligence . We've just scratched the surface of what's possible with spatial video , LIDAR , and computer vision . Now we're ...

Navigate AI

AI Engineer

San Francisco, CA · On-site

$100 - $125/hr

S. and have early traction combining AI, spatial computing, and video intelligence . We've just scratched the surface of what's possible with spatial video , LIDAR , and computer vision . Now we're ...

MDAEdge

Unity AR/VR Developer (Meta Oculus Support)

... spatial computing. Qualifications : Required : • Proficiency in Unity & C# scripting (3+ years of experience) • Hands-on experience with Oculus SDK, ARKit, and ARCore • Familiarity with 3D ...

Tundra Technical Solutions

Data Operator

Menlo Park, CA · On-site

$32/hr

... spatial computing models. This is a full-time, on-site contingent worker (CWX) role embedded directly with researchers and engineers on one of Meta's most ambitious initiatives. What You'll Do * VR ...

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Spatial Computing information

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$56.5K

$141K

$241K

How much do spatial computing jobs pay per year?

As of Sep 8, 2026, the average yearly pay for spatial computing in the United States is $141,011.00, according to ZipRecruiter salary data. Most workers in this role earn between $104,000.00 and $186,000.00 per year, depending on experience, location, and employer.

What is spatial computing?

Spatial computing refers to the use of digital technology to interact with and manipulate physical space and objects. It integrates technologies like augmented reality (AR), virtual reality (VR), sensors, and artificial intelligence to create immersive experiences that blend the digital and physical worlds. Spatial computing is used in various fields, such as gaming, architecture, healthcare, and manufacturing, to enhance visualization, collaboration, and data analysis. This technology enables users to interact with digital content as if it were part of their real environment.

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

To excel as a Spatial Computing Specialist, a solid background in computer science, mathematics, and 3D modeling, often supported by a relevant degree or certification, is essential. Familiarity with programming languages (such as C++, Python), spatial mapping tools, AR/VR development platforms (like Unity or Unreal Engine), and sensor integration is typically required. Strong problem-solving skills, creativity, and effective cross-disciplinary communication set top professionals apart in this field. These skills are vital for developing innovative spatial computing solutions that blend digital and physical environments, driving advancements in industries such as gaming, architecture, and healthcare.

What are some common challenges spatial computing professionals face when working on cross-disciplinary teams?

Spatial computing professionals often collaborate with experts in software development, user experience design, hardware engineering, and domain specialists. A common challenge is ensuring effective communication between team members with different technical backgrounds and vocabularies. Additionally, integrating spatial data and real-world context into digital solutions requires careful coordination and iterative testing. Successful professionals are proactive in bridging knowledge gaps and fostering a shared understanding to drive project goals forward.

What is the difference between Spatial Computing vs Augmented Reality Developer?

AspectSpatial ComputingAugmented Reality Developer
Required CredentialsTypically a degree in computer science, engineering, or related fields; knowledge of 3D modeling and programmingSimilar credentials, often with specialization in AR platforms and SDKs
Work EnvironmentDesigning and developing 3D environments, often involving hardware like AR/VR headsets and sensorsCreating AR applications for mobile devices or AR glasses, often in app development environments
Industry UsageUsed across gaming, architecture, healthcare, and training for spatial interactionPrimarily in entertainment, marketing, and mobile app development sectors

While both roles involve immersive technology, Spatial Computing focuses on creating comprehensive 3D environments and interactions, whereas Augmented Reality Developers specialize in overlaying digital content onto real-world views. Understanding these differences helps in choosing the right career path or project focus within immersive tech industries.

Is spatial computing worth it?

Spatial computing is a growing field that involves developing and working with 3D environments, augmented reality, and virtual reality technologies. Careers in this area often require skills in programming, 3D modeling, and understanding of hardware platforms, making it a valuable and expanding industry for tech professionals.
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Cities with the most Spatial Computing job openings:

What states have the most Spatial Computing jobs?

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

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Spatial Computing jobs near you
Infographic showing various Spatial Computing job openings in the United States as of September 2026, with employment types broken down into 89% Full Time, 9% Part Time, and 2% Contract. Highlights an 85% Physical, 2% Hybrid, and 13% Remote job distribution, with an average salary of $141,011 per year, or $67.8 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 2 days ago. Applications are no longer accepted.

Key responsibilities

  • Design data pipelines that convert heterogeneous 3D assets into unified, queryable scene‑graphs and knowledge graphs.

  • Integrate multimodal foundation models with spatial data to enable diagnostics, instructions, and autonomous evaluation in virtual‑training scenarios.

  • Profile and optimize performance across hardware configurations, balancing fidelity, latency, and memory.

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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