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Computer Vision Engineer Jobs in Santa Cruz, CA (NOW HIRING)

BrightAI Corporation

Computer Vision Engineer

Palo Alto, CA · On-site

$131K - $154K/yr

Computer Vision Engineer - Perception & 3D Type: Temporary Duration: 6-12 months What You'll Gain * Exposure to the full CV pipeline, from raw data and annotation to deployed model * Mentorship from ...

Sciton

Computer Vision (Software) Engineer

Palo Alto, CA · On-site

$170K - $190K/yr

Computer Vision (Software) Engineer Sciton is a Silicon Valley based pioneer in laser, light, and energy technologies for aesthetic and medical applications. Our engineers helped bring laser products ...

Apple

Systems Engineer - Apple Vision Pro

San Jose, CA · On-site

Apple Vision Pro is a revolutionary spatial computer that seamlessly blends digital content with ... Description In the Systems Engineer role, you will be directly responsible for all parts of a ...

Matroid

Deep Learning Engineer

Palo Alto, CA

$170K - $300K/yr

About Matroid Matroid is a full-service computer vision company that has developed an end-to-end ... Engineer new DL capabilities end-to-end; research, experiment, iterate, develop, optimize and ...

Matroid

Deep Learning Engineer

Palo Alto, CA · On-site

$170K - $300K/yr

About Matroid Matroid is a full-service computer vision company that has developed an end-to-end ... Engineer new DL capabilities end-to-end; research, experiment, iterate, develop, optimize and ...

Matroid

Deep Learning Engineer

Palo Alto, CA · On-site

$170K - $300K/yr

About Matroid Matroid is a full-service computer vision company that has developed an end-to-end ... Engineer new DL capabilities end-to-end; research, experiment, iterate, develop, optimize and ...

Matroid

Vision Application Technician

Palo Alto, CA

$35 - $40/hr

You have experience in computer vision, artificial intelligence, machine learning, or a related field. * You have prior experience in solutions, sales engineering, or other customer-facing technical ...

Matroid

Vision Application Technician

Palo Alto, CA · On-site

$35 - $40/hr

You have experience in computer vision, artificial intelligence, machine learning, or a related field. * You have prior experience in solutions, sales engineering, or other customer-facing technical ...

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All JobsComputer Vision Engineer JobsComputer Vision Engineer Jobs in Santa Cruz, CA

Computer Vision Engineer information

See Santa Cruz, CA salary details

$56K

$140.3K

$158.8K

How much do computer vision engineer jobs pay per year?

As of Jul 17, 2026, the average yearly pay for computer vision engineer in Santa Cruz, CA is $140,309.00, according to ZipRecruiter salary data. Most workers in this role earn between $128,700.00 and $151,800.00 per year, depending on experience, location, and employer.

What do computer vision engineers do?

Computer vision engineers develop algorithms and models that enable computers to interpret and analyze visual data such as images and videos. They often work with machine learning frameworks, programming languages like Python or C++, and tools such as OpenCV or TensorFlow to create applications in areas like object detection, facial recognition, and autonomous systems.

What engineers make $300,000 a year?

Senior computer vision engineers, especially those with advanced skills in deep learning, machine learning, and experience with tools like TensorFlow or PyTorch, can earn $300,000 or more annually in high-demand industries such as technology, autonomous vehicles, or AI research. Compensation often depends on experience, location, and company size, with some roles in Silicon Valley or major tech firms reaching this level through base salary, bonuses, and stock options.

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 engineer makes $500,000 a year?

A senior computer vision engineer at top tech companies or in specialized industries can earn $500,000 or more annually, often including bonuses and stock options. These roles typically require advanced skills in machine learning, deep learning, and experience with tools like TensorFlow or PyTorch, along with a strong educational background and years of experience. Compensation varies based on location, company size, and individual expertise.

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.

Will AI replace computer vision engineers?

AI is transforming the field of computer vision, but computer vision engineers are essential for developing, training, and maintaining AI models and systems. Their expertise in algorithms, programming, and domain knowledge ensures the effective application of AI in real-world scenarios, making complete replacement unlikely in the near term.
More about Computer Vision Engineer jobs
What are popular job titles related to Computer Vision Engineer jobs in Santa Cruz, CA? For Computer Vision Engineer jobs in Santa Cruz, CA, the most frequently searched job titles are:
What job categories do people searching Computer Vision Engineer jobs in Santa Cruz, CA look for? The top searched job categories for Computer Vision Engineer jobs in Santa Cruz, CA are:
What cities near Santa Cruz, CA are hiring for Computer Vision Engineer jobs? Cities near Santa Cruz, CA with the most Computer Vision Engineer job openings:
Computer Vision Engineer jobs near you
Infographic showing various Computer Vision Engineer job openings in Santa Cruz, CA as of July 2026, with employment types broken down into 1% As Needed, 77% Full Time, 20% Part Time, and 2% Contract. Highlights an 82% Physical, 1% Hybrid, and 17% Remote job distribution, with an average salary of $140,309 per year, or $67.5 per hour.
Computer Vision Engineer

Computer Vision Engineer

BrightAI Corporation

Palo Alto, CA • On-site

$131K - $154K/yr

Other

This job post has expired today. Applications are no longer accepted.

Job description

Computer Vision Engineer - Perception & 3D
Type: Temporary
 Duration: 6-12 months
What You'll Gain
  • Exposure to the full CV pipeline, from raw data and annotation to deployed model
  • Mentorship from CV engineers working on production systems
  • Hands-on experience with YOLO, PyTorch, 3D reconstruction, and modern perception workflows
  • Concrete portfolio work - datasets, scripts, reconstructions, and model contributions - that translates directly to future ML/CV roles
What You'll Do
  • Annotate and QA images and video for detection, segmentation, and classification - and build the tooling to do it at scale
  • Work on 3D reconstruction (photogrammetry, Gaussian splatting) and explore applications in AR/VR and autonomy
  • Write Python tooling to convert annotation formats, validate label integrity, and generate dataset statistics
  • Help shape labeling schemas and class taxonomies as edge cases arise
  • Run baseline YOLO training experiments to evaluate dataset quality and surface labeling gaps
  • Document conventions and edge-case decisions
Required
  • Recent graduate with 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 or PyTorch
  • Familiarity with 3D reconstruction, segmentation masks, or model-assisted labeling workflows
  • Interest in AR/VR, SLAM, or autonomous systems
BrightAI logo

About BrightAI

Sourced by ZipRecruiter

Industry

Software development

Company size

11 - 50 Employees

Headquarters location

San Francisco, CA, US

Year founded

2019

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