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Computer Vision Engineer Jobs in California (NOW HIRING)

Cesna Group

Junior Computer Vision Engineer

San Diego, CA · On-site

$100K - $200K/yr

... Vision * - Camera Calibration / Depth Estimation Qualifications Education and Experience * - Required: Master's degree in Computer Science or Electrical Engineering plus 2 or more years of relevant ...

Dexterity

Senior Computer Vision Engineer

Redwood City, CA · On-site

$160K - $200K/yr

In this role at Dexterity, you will be working on writing Computer Vision code and building Machine Learning models for computer vision. The role will involve understanding our current systems and ...

Dexterity

Senior Computer Vision Engineer

Redwood City, CA · On-site

$160K - $200K/yr

In this role at Dexterity, you will be working on writing Computer Vision code and building Machine Learning models for computer vision. The role will involve understanding our current systems and ...

Cesna Group

Computer Vision R&D Engineer

San Diego, CA · On-site

$100K - $200K/yr

We are seeking an Intermediate Computer Vision R&D Engineer to join our team. The candidate will be part of the core team of computer vision engineers. We will be developing new product lines ...

Brachium

Robotics Vision Engineer

San Ramon, CA · On-site

- Robotics Vision Engineer Title Robotics Vision Engineer Company Description We are a 3-year-old ... Develop and evaluate state-of-the-art computer vision algorithms for real-time control of robots ...

Brachium

Robotics Vision Engineer

San Ramon, CA · On-site

- Robotics Vision Engineer Title Robotics Vision Engineer Company Description We are a 3-year-old ... Develop and evaluate state-of-the-art computer vision algorithms for real-time control of robots ...

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All JobsComputer Vision Engineer JobsComputer Vision Engineer Jobs in California

Computer Vision Engineer information

See California salary details

$47.9K

$119.9K

$135.7K

How much do computer vision engineer jobs pay per year?

As of Aug 20, 2026, the average yearly pay for computer vision engineer in California is $119,924.00, according to ZipRecruiter salary data. Most workers in this role earn between $110,000.00 and $129,800.00 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 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 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 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.

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.

More about Computer Vision Engineer jobs

What are the most commonly searched types of Computer Vision Engineer jobs in California?

The most popular types of Computer Vision Engineer jobs in California are:

What are popular job titles related to Computer Vision Engineer jobs in California?

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

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

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

What cities in California are hiring for Computer Vision Engineer jobs?

Cities in California with the most Computer Vision Engineer job openings:

Computer Vision Engineer jobs near you
Infographic showing various Computer Vision Engineer job openings in California as of August 2026, with employment types broken down into 1% As Needed, 81% Full Time, 13% Part Time, and 5% Contract. Highlights an 96% Physical, 1% Hybrid, and 3% Remote job distribution, with an average salary of $119,924 per year, or $57.7 per hour.

Senior Engineer, Computer Vision

Hired Recruiters

Redwood City, CA • On-site, Remote

$127K - $175K/yr

Full-time

Re-posted 24 days ago

Job description

JOB DESCRIPTION
As a computer vision engineer at the company you'll contribute to design and development of various core technologies and products, such as real-time perception, 3D reconstruction, visual-inertial odometry, and more. You will:
  • Contribute to the development of state-of-the-art techniques and algorithms for robotic perception
  • Write production code in C++ for a variety of platforms, including GPUs
  • Help to recruit and potentially lead a team of similarly-qualified engineers

To thrive in this role you have:
  • A good grasp of linear algebra
  • Extensive experience writing production quality code in C++
  • Familiarity with highly parallel programming frameworks such as CUDA, Metal or OpenCL

Direct experience in computer vision is not required!

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