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Vision Engineer Jobs in California (NOW HIRING)

Brachium

Robotics Vision Engineer

San Ramon, CA · On-site

- Robotics Vision Engineer Title Robotics Vision Engineer Company Description We are a 3-year-old dental robotics startup in the San Francisco bay area. We're technologists, scientists and artists. We ...

Sapios

Computer Vision Engineer

Sacramento, CA · On-site

$121K - $143K/yr

Computer Vision Engineer Location: USA only. We're looking for a passionate Computer Vision Engineer to join our core engineering team. You'll work on algorithms that power the ARTS platform: from ...

Brachium

Robotics Vision Engineer

San Ramon, CA · On-site

Robotics Vision Engineer Title Robotics Vision Engineer Company Description We are a 3-year-old dental robotics startup in the San Francisco bay area. We're technologists, scientists and artists. We ...

Brachium

Robotics Vision Engineer

San Ramon, CA · On-site

- Robotics Vision Engineer Title Robotics Vision Engineer Company Description We are a 3-year-old dental robotics startup in the San Francisco bay area. We're technologists, scientists and artists. We ...

K2 Staffing

Cabinet Vision Engineer

Carlsbad, CA · On-site

The Cabinet Vision Engineer is responsible for producing accurate shop drawings, engineering custom millwork, programming projects within Cabinet Vision, and generating CNC-ready production ...

K2 Staffing, LLC

Cabinet Vision Engineer

Carlsbad, CA · On-site

$100K/yr

The Cabinet Vision Engineer is responsible for producing accurate shop drawings, engineering custom millwork, programming projects within Cabinet Vision, and generating CNC-ready production ...

Nexxa.ai

AI Vision Engineer

Sunnyvale, CA · On-site

Role Overview We are looking for an AI Vision Engineer to help design, build, and deploy next-generation computer vision systems across a diverse set of real-world industrial applications. This role ...

Nexxa.ai

AI Vision Engineer

San Francisco, CA · On-site

Role Overview We are looking for an AI Vision Engineer to help design, build, and deploy next-generation computer vision systems across a diverse set of real-world industrial applications. This role ...

Nutanix

Computer Vision Engineer

San Diego, CA · On-site

$118K - $139K/yr

Engineering Group, Engineering Group > Video Systems, HW ArchitectureGeneral Summary:Qualcomm's Computer Vision Systems team is building the intelligence behind the world's most advanced Snapdragon ...

Qualcomm

Computer Vision Engineer

San Diego, CA · On-site

$148K - $222K/yr

Leverage advanced video and computer vision engineering expertise to research, design, and implement critical video processing and computer vision algorithms, including video encoder, decoder ...

TEEMA Solutions Group

Computer Vision Engineer

San Diego, CA · On-site

$118K - $139K/yr

... Engineering, or related field 3+ years of computer vision experience in real-time, product-focused environments Strong Python skills with OpenCV or similar libraries Solid understanding of camera ...

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All JobsVision Engineer JobsVision Engineer Jobs in California

Vision Engineer information

See California salary details

$37.5K

$114.3K

$189K

How much do vision engineer jobs pay per year?

As of Sep 9, 2026, the average yearly pay for vision engineer in California is $114,347.00, according to ZipRecruiter salary data. Most workers in this role earn between $81,900.00 and $149,500.00 per year, depending on experience, location, and employer.

What is a vision engineer?

Vision Engineers are professionals who design, develop, and implement computer vision systems that enable machines to interpret and understand visual information from the world. They work with image and video processing algorithms, deep learning models, and hardware such as cameras and sensors to solve problems in areas like robotics, autonomous vehicles, and quality inspection. Vision Engineers often collaborate with software developers, data scientists, and hardware engineers to create solutions that can recognize objects, track movements, or analyze scenes automatically.

How does a vision engineer typically collaborate with other engineering teams during a project?

Vision Engineers often work closely with software developers, hardware engineers, and data scientists to integrate computer vision solutions into larger systems. Collaboration usually involves sharing specifications, aligning on data formats, and frequent meetings to ensure seamless interaction between visual algorithms and system hardware or applications. Effective communication and cross-disciplinary teamwork are essential, as vision models must be optimized for real-time performance and reliability within the constraints of the broader product.

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

To thrive as a Vision Engineer, you need a strong background in computer vision, image processing, and programming languages such as Python or C++, often supported by a degree in computer science, electrical engineering, or a related field. Familiarity with machine learning frameworks (like TensorFlow or PyTorch), OpenCV, and experience with camera systems or embedded hardware are typically required. Analytical thinking, problem-solving, and the ability to communicate complex technical concepts clearly are standout soft skills. These abilities are crucial for developing robust vision solutions that drive innovation in industries such as robotics, automotive, and manufacturing.

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

AspectVision EngineerComputer Vision Engineer
Required CredentialsBachelor's or higher in engineering, computer science, or related fields; experience with image processing and sensor integrationBachelor's or higher in computer science, AI, or related fields; strong programming skills in Python, C++, and experience with machine learning
Work EnvironmentResearch labs, robotics companies, manufacturing, automotiveTech companies, AI startups, robotics, healthcare imaging
Industry UsageUsed in robotics, automation, and sensor systemsApplied in AI, autonomous vehicles, medical imaging, and surveillance

While both roles focus on visual data, a Vision Engineer typically works on integrating sensors and hardware for vision systems, whereas a Computer Vision Engineer develops algorithms and software for interpreting visual data. The roles often overlap but differ mainly in hardware versus software focus.

What does a vision engineer do?

A vision engineer designs, develops, and tests computer vision systems and algorithms used in applications like robotics, autonomous vehicles, and image processing. They work with tools such as MATLAB, OpenCV, and machine learning frameworks, often requiring knowledge of programming, image analysis, and sensor integration.

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

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

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

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

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

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

Vision Engineer jobs near you
Infographic showing various Vision Engineer job openings in California as of September 2026, with employment types broken down into 1% As Needed, 61% Full Time, 33% Part Time, and 5% Contract. Highlights an 94% Physical, 1% Hybrid, and 5% Remote job distribution, with an average salary of $114,347 per year, or $55 per hour.

Computer Vision Engineer

Rancho Santa Margarita, CA • On-site

Applied Medical
Medical Equipment and Supplies Manufacturing • 1 - 5K employees
Learn more about Applied Medicalexternal

$80K - $140K/yr

Other

Retirement, PTO

Re-posted 8 days ago

Applied Medical rating

8.0

Company rating: 8.0 out of 10

Based on 23 frontline employees who took The Breakroom Quiz

Job description

Position Description

The Computer Vision Engineer develops and optimizes computer vision algorithms and deep learning models for image and video analysis at Applied Medical. This computer vision and machine learning engineering role integrates and deploys scalable, high-performance vision-based solutions into real-world products. The Computer Vision Engineer enhances model accuracy, improves system efficiency, and contributes to AI-driven products that advance computer vision technology across Applied Medical.

Key Responsibilities
  • Design, develop, and implement computer vision algorithms for object detection, segmentation, tracking, and feature extraction in image and video analysis
  • Collaborate with cross-functional teams to deploy and embed computer vision capabilities into products, including the Simsei simulation program
  • Optimize the accuracy, efficiency, and scalability of existing computer vision systems for real-world applications
  • Research emerging computer vision technologies and methodologies, applying insights to improve model performance
  • Test, validate, and deploy models, maintaining robustness and reliability in production environments
  • Monitor and troubleshoot deployed systems, resolving performance issues and implementing enhancements over time
Success in This Role Looks Like
  • Improving model accuracy and system efficiency across deployed computer vision solutions
  • Delivering scalable vision-based features integrated cleanly into production products
  • Maintaining robust, reliable models in production environments
  • Resolving performance issues quickly to sustain accuracy and efficiency
  • Applying current research to advance product capabilities and innovation
Position Requirements

This position requires the following skills and attributes:

  • Bachelor's degree in computer science, computer engineering, electrical engineering, or a related engineering field with an emphasis on computer vision, or relevant experience
  • Minimum of three years of relevant work experience, or equivalent education and experience demonstrating the skills below
  • Strong analytical skills and a solid foundation in mathematics
  • Deep understanding of and hands‑on experience with image processing, computer vision, machine learning, and deep learning algorithms
  • Strong development skills in C++ or Python
  • Experience applying traditional computer vision and deep learning algorithms to problems such as object detection, segmentation, tracking, and feature extraction
  • Experience with data science and computer vision libraries, including NumPy, Pandas, SciPy, Matplotlib, Scikit‑learn, and OpenCV
  • Experience with deep learning frameworks such as PyTorch, TensorFlow, or Keras
Preferred
  • Experience with medical image analysis or medical applications
  • Experience with image streaming and real‑time image analysis
  • Experience with computer graphics and visualization
  • Experience with database servers such as MySQL or SQL Server
  • Experience with cloud services such as Amazon Web Services (AWS), Azure, or Google Cloud Platform (GCP)
Benefits
  • Competitive compensation range: $80,000 - $140,000 / year (California)
  • Comprehensive benefits package
  • Training and mentorship opportunities
  • On‑campus wellness activities
  • Education reimbursement program
  • 401(k) program with discretionary employer match
  • Generous vacation accrual and paid holiday schedule
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