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Spatial Computing Jobs in Seattle, WA (NOW HIRING)

Duranta

Computer Vision Engineer

Seattle, WA · On-site

$126K - $149K/yr

... Spatial Intelligence. They are seeking a Senior Computer Vision Engineer to contribute to the ... with cloud computing (e.g., AWS) Company : Duranta is the software platform transforming how ...

IonQ

Senior Optical Engineer

Bothell, WA · On-site

$114K - $150K/yr

Our quantum computing services are available through all major cloud providers, while we also meet ... temporal/spatial overlap control. * Implement automated quantum tomography protocols to ...

Duranta

Computer Vision Engineer

Seattle, WA · On-site

$160K - $250K/yr

... Spatial Intelligence. Our flagship foundation computer vision model, Aidan, measures and ... Experience with cloud computing (e.g., AWS) DURANTA VALUES * API = Assume Positive Intent. The ...

Duranta

Computer Vision Engineer

Seattle, WA · On-site +1

$160K - $250K/yr

... Spatial Intelligence. Our flagship foundation computer vision model, Aidan, measures and ... Experience with cloud computing (e.g., AWS) DURANTA VALUES * API = Assume Positive Intent. The ...

Apple

AR/VR Software Engineer

Seattle, WA

$139K - $210K/yr

... a spatial platform. Measure, analyze, and optimize software stacks to meet the target of ... cloud computing, and live event data streams. Developing, iterating, and shipping user facing ...

Meta

Display Research Scientist

Redmond, WA · On-site

$154K - $217K/yr

... spatial light modulators and display panel technologies • Track record of novel research ... including computing, design and simulation, experiments, and data analysis • Experience with ...

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All JobsSpatial Computing JobsSpatial Computing Jobs in Seattle, WA

Spatial Computing information

See Seattle, WA salary details

$66.1K

$165K

$282K

How much do spatial computing jobs pay per year?

As of Jul 3, 2026, the average yearly pay for spatial computing in Seattle, WA is $164,991.00, according to ZipRecruiter salary data. Most workers in this role earn between $121,700.00 and $217,600.00 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 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.

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 are popular job titles related to Spatial Computing jobs in Seattle, WA? For Spatial Computing jobs in Seattle, WA, the most frequently searched job titles are:
What job categories do people searching Spatial Computing jobs in Seattle, WA look for? The top searched job categories for Spatial Computing jobs in Seattle, WA are:
Spatial Computing jobs near you
Infographic showing various Spatial Computing job openings in Seattle, WA as of June 2026, with employment types broken down into 67% Full Time, and 33% Part Time. Highlights an 100% In-person job distribution, with an average salary of $164,991 per year, or $79.3 per hour.

Computer Vision Engineer

Duranta

Seattle, WA • On-site

$126K - $149K/yr

Full-time

Posted 12 days ago

Job description

Job Summary:
Duranta is an applied research lab focused on redefining industry interactions with the physical world through Artificial Spatial Intelligence. They are seeking a Senior Computer Vision Engineer to contribute to the development of computer vision pipelines for extracting intelligence from aerial imagery, working closely with the founding team on deep learning research and deployment.
Responsibilities:
• Building the components of a state-of-the-art computer vision pipeline for our AI system
• Build and improve CV models (e.g., Mask2Former, SAM, ViT, Swin) for aerial and oblique imagery
• Run experiments at scale with deep learning frameworks like PyTorch
• Develop and maintain clean, modular ML infrastructure
• Collaborate on model deployment and inference optimizations
• Read and reproduce ideas from latest papers (CVPR, NeurIPS and other similar top-tier venues)
Qualifications:
Required:
• 5+ years experience in ML / deep learning, ideally in Computer Vision
• Strong coding ability (Python, PyTorch)
• Trained segmentation/detection models on real-world data at scale
• Experience with generative modeling and large foundation models
• Worked in startups or fast-moving teams and can wear many hats
Preferred:
• Experience with high-res aerial/remote sensing imagery and LiDAR
• Experience with self-supervised and weakly-supervised learning
• Knowledge of 3D, CAD and computer graphics
• Experience with cloud computing (e.g., AWS)
Company:
Duranta is the software platform transforming how landscapers and lawn care professionals grow and manage their businesses. Founded in 2024, the company is headquartered in Seattle, USA, with a team of 11-50 employees. The company is currently Early Stage.

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