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Vision Engineer Jobs in California (NOW HIRING)

Computer Vision Engineer

Palo Alto, CA

$131K - $154K/yr

Computer Vision Intern - Data Labeling & Annotation Type: Temporary Duration: 6 months - 12 months ... Mentorship from CV engineers working on production systems * Hands-on experience with YOLO, PyTorch ...

Computer Vision Engineer

Santa Clara, CA · On-site

$131K - $155K/yr

... Engineers who are interested in helping us reach our goal to deliver the safest Autonomous Driving System available We have numerous roles across several key teams, including Computer Vision. We are ...

Computer Vision Engineer

Palo Alto, CA · On-site

$131K - $154K/yr

Computer Vision Intern - Data Labeling & Annotation Type: Temporary Duration: 6 months - 12 months ... Mentorship from CV engineers working on production systems * Hands-on experience with YOLO, PyTorch ...

We are looking for a Senior Camera & Vision Engineer to lead the development of camera-based perception in our robotics systems. This is a hands-on role for someone who deeply understands camera ...

Machine Learning/Computer Vision Engineer

Sunnyvale, CA · On-site

$130K - $154K/yr

We are looking for a skilled Machine Learning/Computer Vision Engineer with hands-on experience developing algorithms for human understanding and human intelligence applications.Responsibilities ...

Skilled in at least one programming language used in Computer Vision (e.g. Python and/or C++) Preferred Qualifications: * Experience with common AI/ML tools and frameworks such as PyTorch, PyTorch ...

Skilled in at least one programming language used in Computer Vision (e.g. Python and/or C++) Preferred Qualifications: * Experience with common AI/ML tools and frameworks such as PyTorch, PyTorch ...

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Vision Engineer information

See California salary details

$37.5K

$114.3K

$189K

How much do vision engineer jobs pay per year?

As of Jun 11, 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 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 system integration.

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 engineers make $500,000?

Senior engineers in specialized fields such as software engineering, petroleum engineering, and aerospace engineering can earn $500,000 or more annually, especially with extensive experience, advanced skills, and leadership roles. High compensation often includes bonuses, stock options, or profit sharing, particularly in large tech companies or energy firms.

What is a $900,000 AI job?

A $900,000 AI job typically refers to a high-level position in artificial intelligence, such as a senior machine learning engineer or AI research director, often requiring advanced skills in programming, data analysis, and deep learning. These roles usually involve leadership responsibilities, extensive experience, and may be found in large tech companies or specialized AI firms with competitive compensation packages.

What jobs pay $400 an hour?

In the field of vision engineering, highly specialized roles such as senior research scientists, lead optical engineers, or consultants with advanced expertise in computer vision, machine learning, and optical systems can command hourly rates of $400 or more. These positions often require advanced degrees, extensive experience, and work on complex projects or consulting contracts. Such high pay is typically associated with freelance consulting, specialized contract work, or senior-level roles in research and development environments.

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 are Vision Engineers?

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.
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:
Infographic showing various 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 $114,347 per year, or $55 per hour.
Computer Vision Engineer

$131K - $154K/yr

Other

Posted 21 days ago


Job description

Computer Vision Intern - Data Labeling & Annotation

Type: Temporary

Duration: 6 months - 12 months

What You'll Gain

  • Exposure to the full CV pipeline, from raw data to deployed model
  • Mentorship from CV engineers working on production systems
  • Hands-on experience with YOLO, PyTorch, and modern annotation workflows
  • Concrete portfolio work - datasets, scripts, and model contributions - that translates directly to future ML/CV roles

What You'll Do

  • Annotate images and video for object detection (bounding boxes), segmentation (polygons/masks), and classification
  • Help refine labeling schemas and class taxonomies as edge cases come up
  • Write Python scripts to convert between annotation formats, validate label integrity, and generate dataset statistics
  • QA labels and surface systematic errors or ambiguous cases
  • Run baseline YOLO training experiments to evaluate dataset quality and identify labeling gaps
  • Document conventions and edge-case decisions

Required

  • Pursuing a degree in CS, EE, AI/ML, or related field
  • Working knowledge of Python and common CV libraries (NumPy, OpenCV)
  • Attention to detail and patience for precision work

Nice to Have

  • Hands-on experience with YOLO
  • Familiarity with PyTorch, segmentation masks, or model-assisted labeling workflows

BrightAI logo

About BrightAI

Sourced by ZipRecruiter

Industry

Software development

Company size

11 - 50 Employees

Headquarters location

San Francisco, CA, US

Year founded

2019