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Computer Vision Engineer Jobs in Irvine, CA (NOW HIRING)

TRL11, Inc.

Sr Algorithms/Video Engineer

Irvine, CA · On-site

$150K - $220K/yr

... Video Engineers with a focus on cutting edge video processing technology, to join our team. You ... Develop and implement computer vision algorithms on embedded systems, used for identifying ...

TRL11, Inc.

Sr Algorithms/Video Engineer

Irvine, CA · On-site

$150K - $220K/yr

... Video Engineers with a focus on cutting edge video processing technology, to join our team. You ... Develop and implement computer vision algorithms on embedded systems, used for identifying ...

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All JobsComputer Vision Engineer JobsComputer Vision Engineer Jobs in Irvine, CA

Computer Vision Engineer information

See Irvine, CA salary details

$52.1K

$130.4K

$147.6K

How much do computer vision engineer jobs pay per year?

As of Aug 11, 2026, the average yearly pay for computer vision engineer in Irvine, CA is $130,434.00, according to ZipRecruiter salary data. Most workers in this role earn between $119,700.00 and $141,200.00 per year, depending on experience, location, and employer.

What is a computer vision engineer?

Computer Vision Engineers are professionals who develop algorithms and systems that enable computers to interpret and process visual information from the world, such as images and videos. They work on tasks like object detection, facial recognition, image segmentation, and more, often using machine learning and deep learning techniques. These engineers apply their expertise in fields like robotics, autonomous vehicles, healthcare, and augmented reality, turning raw visual data into actionable insights.

What is the difference between Computer Vision Engineer vs Machine Learning Engineer?

AspectComputer Vision EngineerMachine Learning Engineer
Required CredentialsBachelor's or Master's in CS, Electrical Engineering, or related; knowledge of image processing and computer vision librariesBachelor's or Master's in CS, Data Science, or related; strong programming and statistical skills
Work EnvironmentDevelops algorithms for image/video analysis, object detection, and recognition in tech, automotive, or healthcare industriesBuilds models for various data types, including text, images, and structured data across multiple sectors
Employer & Industry UsageTech companies, autonomous vehicles, robotics, healthcareTech firms, finance, e-commerce, healthcare, and research institutions

While both roles involve machine learning techniques, Computer Vision Engineers specialize in developing algorithms for visual data, whereas Machine Learning Engineers work on broader data modeling across various data types. The roles often overlap but differ mainly in focus and application areas.

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

To thrive as a Computer Vision Engineer, you need a strong background in computer science, mathematics, and machine learning, often supported by a relevant degree and experience with image processing algorithms. Familiarity with tools and frameworks such as OpenCV, TensorFlow, PyTorch, and proficiency in programming languages like Python or C++ is essential, along with knowledge of deep learning techniques. Analytical thinking, creativity, and effective communication are standout soft skills for this role. These skills and qualities are crucial for developing innovative vision solutions, interpreting complex data, and collaborating efficiently within interdisciplinary teams.

What does a computer vision engineer do?

Computer vision is a branch of artificial intelligence that attempts to replicate human analytical processes by using algorithms and computer models to understand and identify patterns in images. As a computer vision engineer, you use software to handle the processing and analysis of large data populations, and your efforts support the automation of predictive decision-making efforts. Your responsibilities involve research, programming, data analysis, and user interface design. You may work on a variety of exciting development projects like self-driving cars, mobile devices, innovative features and capabilities in sports and entertainment, and the next generation of social media enhancements.

What are some common challenges faced by computer vision engineers when deploying models to production environments?

Computer Vision Engineers often encounter challenges such as ensuring model accuracy in diverse real-world conditions, optimizing models for efficiency on edge devices, and handling large-scale data processing. Deploying models to production requires balancing performance with resource constraints and addressing issues like latency, scalability, and data privacy. Collaborating closely with software engineers and data scientists is crucial to integrate solutions effectively and continuously monitor and improve model performance in live applications.
More about Computer Vision Engineer jobs
What are the most commonly searched types of Computer Vision Engineer jobs in Irvine, CA? The most popular types of Computer Vision Engineer jobs in Irvine, CA are:
What are popular job titles related to Computer Vision Engineer jobs in Irvine, CA? For Computer Vision Engineer jobs in Irvine, CA, the most frequently searched job titles are:
What job categories do people searching Computer Vision Engineer jobs in Irvine, CA look for? The top searched job categories for Computer Vision Engineer jobs in Irvine, CA are:
What cities near Irvine, CA are hiring for Computer Vision Engineer jobs? Cities near Irvine, CA with the most Computer Vision Engineer job openings:
Computer Vision Engineer jobs near you
Infographic showing various Computer Vision Engineer job openings in Irvine, CA as of August 2026, with employment types broken down into 93% Full Time, and 7% Contract. Highlights an 88% In-person, 6% Hybrid, and 6% Remote job distribution, with an average salary of $130,434 per year, or $62.7 per hour.

Senior Software Engineer, 3D Computer Vision

FieldAI

Irvine, CA • On-site

$129K - $171K/yr

Full-time

Re-posted 17 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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