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3D Computer Vision Jobs in California (NOW HIRING)

TEEMA

Computer Vision Engineer

San Diego, CA · On-site

$125K - $130K/yr

Process high-frame-rate, multi-camera data to generate accurate 3D trajectories and impact insights ... or related field * 3+ years of computer vision experience in real-time, product-focused ...

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3D Computer Vision information

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 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.

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 popular job titles related to 3D Computer Vision jobs in California?

For 3D Computer Vision jobs in California, the most frequently searched job titles are:

What job categories do people searching 3D Computer Vision jobs in California look for?

The top searched job categories for 3D Computer Vision jobs in California are:

What cities in California are hiring for 3D Computer Vision jobs?

Cities in California with the most 3D Computer Vision job openings:

3D Computer Vision jobs near you
Infographic showing various 3D Computer Vision job openings in California as of August 2026, with employment types broken down into 80% Full Time, and 20% Contract. Highlights an 90% In-person, and 10% Remote job distribution.

Senior Software Engineer, 3D Computer Vision

FieldAI

Irvine, CA • On-site

$129K - $171K/yr

Full-time

Re-posted 12 days ago

Job description

Job Summary:
FieldAI is transforming how robots interact with the real world by building advanced AI systems for robotics. The Senior Software Engineer in 3D Computer Vision will develop and optimize point cloud processing pipelines and design efficient algorithms for large-scale 3D datasets, ensuring scalable deployment of algorithms.
Responsibilities:
• Develop and optimize point cloud processing pipelines, including registration, denoising, normal estimation, segmentation, and primitive extraction
• Design efficient algorithms for large-scale, unstructured 3D datasets with attention to memory and runtime performance
• Implement production-grade computational geometry and linear algebra in C++ and Python
• Solve complex reconstruction challenges such as loop closure, global consistency, and multi-view fusion
• Evaluate and integrate emerging 3D vision methods (e.g., neural implicit representations, advanced meshing techniques)
• Partner with platform teams to ensure scalable, efficient deployment of algorithms
Qualifications:
Required:
• 2+ years of experience in Computer Vision, Computational Geometry, or 3D-focused Software Engineering
• Master’s or Ph.D. in Computer Science, Applied Mathematics, or related field with specialization in 3D vision or geometric processing
• Strong proficiency in modern C++ (C++14/17) and Python
• Solid mathematical foundation in 3D geometry, linear algebra, rigid body transformations (SE(3), quaternions), and projective geometry
• Deep experience with point cloud algorithms (ICP, GICP, RANSAC, NDT, region growing) and spatial data structures (k-d trees, octrees, voxel grids)
• Hands-on experience with libraries such as PCL, Open3D, Eigen, or Ceres
• Familiarity with common 3D data formats (PCD, PLY, E57, LAS)
• Strong problem-solving skills and ability to translate academic research into production-ready code
Preferred:
• Experience with non-linear optimization frameworks (Ceres, GTSAM, g2o) for bundle adjustment or pose graph optimization
• Background in SLAM or Structure from Motion (SfM) pipelines
• Experience processing LiDAR, RGB-D, or photogrammetry datasets
• Familiarity with Linux development environments and containerization (Docker)
• Exposure to ROS (not required)
• Knowledge of survey-grade accuracy standards and georeferencing algorithms
Company:
FieldAI is building general robot intelligence for the physical world. Founded in 2023, the company is headquartered in Mission Viejo, USA, with a team of 201-500 employees. The company is currently Growth Stage.

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