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

Computer Vision Engineer

San Jose, CA ยท On-site

$140K - $260K/yr

Design and implement deep-learning and classical computer vision algorithms for real-time, embedded deployment * Perform sensor calibration and multi-sensor fusion across camera, lidar, and radar

Design and implement deep-learning and classical computer vision algorithms for real-time, embedded deployment * Perform sensor calibration and multi-sensor fusion across camera, lidar, and radar

Deep Learning Engineer

Palo Alto, CA ยท 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 ...

Deep Learning Engineer

Palo Alto, CA ยท 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 ...

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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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 Aug 31, 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 is a computer vision engineer?

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 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 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 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.

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 most commonly searched types of Computer Vision Engineer jobs in Santa Cruz, CA?

The most popular types of Computer Vision Engineer jobs in Santa Cruz, CA are:

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 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 August 2026, with employment types broken down into 1% As Needed, 72% Full Time, 22% Part Time, and 5% Contract. Highlights an 94% Physical, 1% Hybrid, and 5% Remote job distribution, with an average salary of $140,309 per year, or $67.5 per hour.

Computer Vision Engineer

Archer

San Jose, CA โ€ข On-site

$140K - $260K/yr

Full-time

Re-posted 1 hour ago


Job description

Archer is an aerospace company based in San Jose, California building an all-electric vertical takeoff and landing aircraft with a mission to advance the benefits of sustainable air mobility. We are designing, manufacturing, and operating an all-electric aircraft that can carry four passengers while producing minimal noise.
Our sights are set high and our problems are hard, and we believe that diversity in the workplace is what makes us smarter, drives better insights, and will ultimately lift us all to success. We are dedicated to cultivating an equitable and inclusive environment that embraces our differences, and supports and celebrates all of our team members.
Note: This role must be based onsite in the United States. Visa sponsorship is not available for this position.
What you'll do:
  • Develop the onboard perception stack, fusing camera, lidar, and radar data for object detection, tracking, and precision landing capabilities
  • Design and implement deep-learning and classical computer vision algorithms for real-time, embedded deployment
  • Perform sensor calibration and multi-sensor fusion across camera, lidar, and radar
  • Optimize perception algorithms for real-time performance on embedded compute
  • Analyze test data to characterize and improve perception performance
  • Collaborate with navigation, controls, and hardware teams to integrate perception outputs into the broader system

What you need:
  • Strong background in computer vision and/or machine learning, with a degree in a related technical field or equivalent experience
  • Proficiency in C++ and Python
  • Experience with deep-learning frameworks (PyTorch, TensorRT) and classical CV (OpenCV)
  • Experience processing lidar and/or radar point-cloud data
  • Experience with sensor calibration and multi-sensor fusion
  • Demonstrated ability to take algorithms from concept through real-time, embedded deployment

Bonus Qualifications:
  • Experience deploying perception models on NVIDIA Jetson / CUDA-based embedded platforms
  • Experience with precision or automated landing systems
  • Background in subscale aircraft, robotics, or vehicle perception

Archer is committed to working with and providing reasonable accommodations to job applicants with physical or mental disabilities, and those with sincerely held religious beliefs. Applicants who may require reasonable accommodation for any part of the application or hiring process should provide their name and contact information to Archer's People Team at people@archer.com. Reasonable accommodations will be determined on a case-by-case basis. For this position we are targeting a base pay between $140,000 - $260,000. Actual compensation offered will be determined by factors such as job-related knowledge, skills, and experience.
Information collected and processed as part of any job applications you choose to submit is subject to Archer's Candidate Privacy Policy.
Archer is unable to provide work visa sponsorship for this position at the present time.
Archer is proud to be an Equal Opportunity employer committed to diversity and inclusivity in the workplace. All aspects of employment are decided on the basis of merit, qualifications, and business needs. We do not discriminate based upon race, color, religion, sex, sexual orientation, age, national origin, disability status, protected veteran status, gender identity or any other characteristic protected by federal, state or local laws.
Archer Aviation does not engage with external recruiting agencies/individual recruiters with whom it does not have a prior written agreement. Archer reserves the right to make use of any unsolicited resumes that it receives and bears no responsibility for payment of any fees asserted from the use of unsolicited resumes. If you are a recruiting agency or individual recruiter wishing to do business with Archer, please reach out to People@archer.com. All employment processes are managed by the Archer People Team.