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

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 ...

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 ...

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 ...

About Matroid Matroid is a full-service computer vision company that has developed an end-to-end ... Bachelor's degree in computer science, computer engineering, electrical engineering, machine ...

About Matroid Matroid is a full-service computer vision company that has developed an end-to-end ... Bachelor's degree in computer science, computer engineering, electrical engineering, machine ...

About Matroid Matroid is a full-service computer vision company that has developed an end-to-end ... Bachelor's degree in computer science, computer engineering, electrical engineering, machine ...

Helix AI Engineer, Perception

San Jose, CA · On-site

$200K - $400K/yr

Our Helix team is looking for Perception Engineers to empower Figure humanoid robots to perform ... Develop perception systems including onboard computer vision, localization, visuomotor policies ...

Helix AI Engineer, Perception

San Jose, CA · Hybrid

$200K - $400K/yr

Our Helix team is looking for Perception Engineers to empower Figure humanoid robots to perform ... Develop perception systems including onboard computer vision, localization, visuomotor policies ...

Deep Learning Field Engineer

Palo Alto, CA · On-site

$150K - $300K/yr

You will be a computer vision guru - intelligently and efficiently translating business problems ... Strong software engineering skills. * Solid oral, written, presentation, collaboration, and ...

Deep Learning Field Engineer

Palo Alto, CA · On-site

$150K - $300K/yr

You will be a computer vision guru - intelligently and efficiently translating business problems ... Strong software engineering skills. * Solid oral, written, presentation, collaboration, and ...

Deep Learning Field Engineer

Palo Alto, CA · Hybrid

$150K - $300K/yr

You will be a computer vision guru - intelligently and efficiently translating business problems ... Strong software engineering skills. * Solid oral, written, presentation, collaboration, and ...

Senior Software Engineer, Eye Tracking

San Jose, CA · On-site

$143K - $189K/yr

... programming languages (C ) * 3 years of experience testing, maintaining, or launching software ... Experience with computer vision, imaging, or augmented reality platforms. Preferred qualifications:

Lead System Engineer

San Jose, CA · On-site +1

$131K/yr

Lead System Engineer Job Location : 1730 N. First Street, San Jose, CA 95112 Duties ... Develop and design Computer Vision and/or Machine Learning technologies and solutions including AI ...

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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.
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:
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.
Vision Application Technician

Vision Application Technician

Matroid

Palo Alto, CA • On-site

$35 - $40/hr

Part-time

Re-posted 12 days ago


Job description

About Matroid
With the rapid growth of artificial intelligence, more and more expert knowledge is required to use cutting-edge AI techniques to solve real-world problems. At Matroid, we're building an intuitive product that allows anyone to train and deploy computer vision models without needing to know how to write a line of code.
Founded in 2016 by a Stanford professor, Matroid has raised $33.5 million from NEA, Energize Ventures, and Intel Capital and has a broad range of customers and partners in manufacturing, industrial IoT, and security.
We're looking for a Vision Application Technician to operate as the technical expert on end-to-end image formation and camera system design - helping our customers and engineering teams achieve optimal image quality and system performance for visual inspection use cases. You'll balance time between hands-on lab experimentation and field deployments at customer sites, ensuring reliable and high-quality camera integrations across diverse environments.
You'll be working at our new office in downtown Palo Alto, just a five-minute walk from the Caltrain station.
What you'll be doing
  • Research and evaluate novel image formation systems to support advanced deep learning visual inspection use cases.
  • Collaborate with sales and engineering teams to understand imaging requirements, and evaluate and specify optimal image formation systems - including camera, lens, lighting, and supporting hardware - for various visual inspection use cases.
  • Experiment with and fine-tune these systems to optimize image and video quality.
  • Configure and troubleshoot switches, routers, and other network components used in image acquisition pipelines.
  • Assist with on-site installations, camera deployments, and end-to-end hardware bring-up, traveling frequently (50%-100%) to support deployments and provide in-person customer assistance.
  • Provide on-call, on-site, and remote technical support and troubleshooting for camera systems, and deliver training sessions for customer teams as needed.
How you'll be doing it
  • You'll empower our engineers to build and deploy world-class visual inspection solutions to solve challenging business problems.
  • You'll operate in a collaborative but highly autonomous environment that isn't bogged down by unnecessary meetings or project management.
  • You'll learn a lot along the way, diving into new technologies and the world of computer vision both on your own and during frequent company tech talks.
What you bring to the table
  • Strong understanding of camera system pipelines and the tradeoffs between parameters and image quality.
  • Hands-on experience selecting and configuring camera hardware for industrial or manufacturing environments.
  • Working knowledge of networking infrastructure, including configuring switches, routers, and other network-related components
  • Practical experience troubleshooting imaging systems - both in the lab and in the field.
  • Comfortable supporting customers directly through on-site visits, remote sessions, and training.
  • Excellent collaboration, presentation, and communication skills - able to explain technical concepts clearly to both engineers and non-technical stakeholders.
  • A self-driven mindset with the flexibility to work independently in the field and collaboratively within cross-functional teams.
Bonus points if...
  • 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 roles.
  • You're familiar with one scripting language, such as Python.
  • You have experience integrating with downstream automation systems, including PLCs, Node-RED environments, MES, or SCADA platforms.
  • You have experience at a high-growth technology startup.
  • You have a high-level understanding of networking infrastructure and protocols such as GigE, GenICam, USBVision, and ONVIF.
  • You're familiar with streaming protocols like RTMP, RTSP, and HLS.
What we offer in return
  • On-site training to help you be successful in this role.
  • Competitive pay and compensation.
  • Free lunch, healthy drinks, and snacks every day.
  • A flexible schedule that leaves time for all of your other interests.
  • Resources to learn about the cutting edge of software engineering and computer vision.
  • You'll be working at our new office in downtown Palo Alto, just a five-minute walk from the Caltrain station.

Matroid is committed to creating a diverse work environment and is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, religion, color, sex, gender identity, sexual orientation, age, non-disqualifying physical or mental disability, national origin, veteran status, or any other basis covered by appropriate law.