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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 ...

XPENG

Senior Computer Vision Engineer

Santa Clara, CA

$143K - $189K/yr

We are seeking a talented Computer Vision / Machine Learning Engineer to join our global team. In this role, you will develop and optimize multi-modal models and computer vision systems, driving ...

XPENG

Senior Computer Vision Engineer

Santa Clara, CA · On-site

$143K - $189K/yr

We are seeking a talented Computer Vision / Machine Learning Engineer to join our global team. In this role, you will develop and optimize multi-modal models and computer vision systems, driving ...

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 ...

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$47.9K

$119.9K

$135.7K

How much do computer vision engineer jobs pay per year?

As of Jun 11, 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 are Computer Vision Engineers?

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 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 June 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $119,924 per year, or $57.7 per hour.

Junior Computer Vision Engineer

Cesna Group

San Diego, CA • On-site

$100K - $200K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 21 days ago

Job description

Job Summary
  • - To research and develop scalable computer vision and machine learning solutions to a hard problem
  • - To investigate and solve exciting and difficult challenges of the real-world problems in image recognition/classification, object detection/recognition, 3D reconstruction and deep learning
  • - To design, implement, and deploy full-stack computer vision and machine learning solutions
Job Description
Detailed Job Descriptions
  • - Deep Learning Network Training and Deployment to wide range of CV application
  • - Image Enhancement
  • - Ghost removal / De-blurring / Contrast Enhancement
  • -Color Image Processing
  • - Denoising / Image Domain Transformation / Smoothing & Sharpening
  • -Segmentation
  • - Semantic Segmentation / Instance Segmentation
  • -Various Region Detection on Images
  • - Saliency / Anomaly
  • - Shape matching / Blob from multi-modal data / Model Fitting
  • -Classification
  • - Small Data driven / Big Data driven
  • -3D / Depth image processing development
  • - Transformations / Denoising (Artifact, ...) / Reconstruction / Ensemble
  • - Stereo 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 experience
  • - Preferred #1: Master's degree in Computer Science or Electrical Engineering plus 5 or more years of relevant experience
  • - Preferred #2: Doctorate in Computer Science or Electrical Engineering plus 3 or more years of relevant experience
  • [Technical Requirements] (At least, one of the below is required.)
  • - Experience to Research and Develop to Classical Computer Vision Algorithm
  • - Experience to Research and Develop Machine Learning
  • - Experience to C++ implementation of Computer Vision
  • [Skills to programming language ](At least, one of the below is required.)
  • - C++ / Python / CUDA
What's On Offer
  • - Health/Dental/Vision/Life Insurance at NO employee premium (including dependent coverage)
  • - 401(k) retirement plan (Immediately 100% vested)
  • - Generous PTO and paid holidays

Apply online or feel free to contact us directly for more information about the opportunity. Due to the high volume of applicant, we regret to inform that only shortlisted candidates will be notified. Thank you for your understanding.

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