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3D Computer Vision Jobs in Seattle, WA (NOW HIRING)

Computer Vision Engineer

Seattle, WA · On-site

$126K - $149K/yr

... 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 ...

Computer Vision Engineer

Seattle, WA · On-site

$160K - $225K/yr

Our flagship foundation computer vision model, Aidan, measures and understands the world in 4D ... Knowledge of 3D, CAD and computer graphics * Experience with cloud computing (e.g., AWS) DURANTA ...

Computer Vision Engineer

Seattle, WA · On-site +1

$160K - $250K/yr

Our flagship foundation computer vision model, Aidan, measures and understands the world in 4D ... Knowledge of 3D, CAD and computer graphics * Experience with cloud computing (e.g., AWS) DURANTA ...

We're addressing a variety of technical challenges in the areas of real-time image processing, 3D ... computer vision, machine learning, and graphics • Participate in cutting edge research in ...

New

We're addressing a variety of technical challenges in the areas of real-time image processing, 3D ... Computer Vision Engineer, Reality Labs Responsibilities: * Design and develop novel factory and ...

New

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3D Computer Vision information

See Seattle, WA salary details

$14

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How much do 3d computer vision jobs pay per hour?

As of Jun 28, 2026, the average hourly pay for 3d computer vision in Seattle, WA is $23.73, according to ZipRecruiter salary data. Most workers in this role earn between $19.95 and $26.54 per hour, depending on experience, location, and employer.

What is 3D computer vision?

3D computer vision is a field within computer science and artificial intelligence that focuses on enabling computers to interpret and understand visual information from the world in three dimensions. Unlike traditional 2D computer vision, which works with flat images, 3D computer vision uses data from sources like stereo cameras, LiDAR, or depth sensors to reconstruct and analyze the shape, size, and position of objects in a scene. This technology is crucial for applications such as autonomous vehicles, robotics, augmented reality, and medical imaging. By understanding the spatial relationships between objects, 3D computer vision systems can enable machines to interact more effectively with their environment.

What are the key skills and qualifications needed to thrive as a 3D Computer Vision Engineer, and why are they important?

To thrive as a 3D Computer Vision Engineer, you need a solid background in computer vision, mathematics (especially linear algebra and geometry), and programming, often supported by a degree in computer science, engineering, or a related field. Proficiency in Python or C++, experience with libraries like OpenCV and PCL, and familiarity with deep learning frameworks such as TensorFlow or PyTorch are typically required. Strong problem-solving skills, creativity, and effective teamwork help candidates excel in developing novel algorithms and collaborating across disciplines. These skills and qualities are crucial for creating innovative 3D perception systems that meet real-world challenges and drive advancements in areas like robotics, AR/VR, and autonomous vehicles.

What are some common challenges faced by 3D Computer Vision engineers during project development?

3D Computer Vision engineers often encounter challenges such as managing noisy or incomplete data from sensors, ensuring real-time processing speeds, and integrating algorithms with various hardware platforms. Additionally, adapting solutions to diverse environments—such as changing lighting conditions or object occlusions—requires robust model design and continual testing. Collaboration with cross-functional teams, including hardware engineers and software developers, is key to overcoming these challenges and successfully deploying 3D vision applications.

Computer Vision Engineer

Duranta

Seattle, WA • On-site

$126K - $149K/yr

Full-time

Posted 7 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.