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

Sony Electronics

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 ...

WeRide.ai

General Software Engineer

San Jose, CA · On-site

$130K - $182K/yr

... computer vision, sensor fusion, machine learning, object tracking, and motion planning ... Experience programming in C++ Plus: * Experience with field robotics and systems design

WeRide.ai

General Software Engineer

San Jose, CA · On-site

$130K - $182K/yr

... computer vision, sensor fusion, machine learning, object tracking, and motion planning ... Experience programming in C++ Plus: * Experience with field robotics and systems design

WeRide.ai

General Software Engineer

San Jose, CA · On-site

$130K - $182K/yr

... as computer vision, sensor fusion, machine learning, object tracking, and motion planning ... Experience programming in C++ Plus: * Experience with field robotics and systems design

WeRide.ai

General Software Engineer

San Jose, CA

$130K - $182K/yr

... computer vision, sensor fusion, machine learning, object tracking, and motion planning ... Experience programming in C++ Plus: * Experience with field robotics and systems design

Adobe

Principal Engineer AI/ML

San Jose, CA · Remote

Leverage foundational principles of NLP, Linguistics, and Computer Vision to architect multimodal ... Solid grasp of data engineering including dataset management, feature engineering, labeling ...

Wing

Machine Learning Engineer, Perception

Palo Alto, CA · On-site

Wing is looking for a Machine Learning Engineer to join our Perception team . This role is hybrid ... What You'll Need: * 3+ years of experience in ML, deep learning, or computer vision, ideally within ...

Lever Demo 2

Software Engineer

Palo Alto, CA · On-site

Completed computer vision or natural language processing projects from start to finish * 1 - 5 years of experience as a software engineer in industry * Knowledge of modern software engineering best ...

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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 Aug 9, 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 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 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.
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 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 August 2026, with employment types broken down into 92% Full Time, and 8% Contract. Highlights an 84% In-person, 8% Hybrid, and 8% Remote job distribution, with an average salary of $140,309 per year, or $67.5 per hour.

Member of the Technical Staff, Computer Vision Model Training

Conquest Technologies Corporation

Palo Alto, CA • On-site

Full-time

Posted 26 days ago

Job description

We are seeking a top-tier AI Scientist / Engineer to join our "Mars-shot" AI startup that aims to reinvent cancer therapy. This unique role offers the opportunity to contribute to groundbreaking advancements in oncology and beyond by combining theoretical physics thinking and cutting edge deep learning methodology to generate and learn from biological data at scale.
Responsibilities
  • Develop novel approaches and train models for prediction of perturbation-response in a complex, high-dimensional dynamical system
  • Co-design data-for-models experimental campaign at scale on robotic platform
  • Wrangle/stand up/leverage large structured data sets and foundational models for biology from public domain
  • Oversee data infrastructure across pipeline from software development environment to wet lab
Requirements
  • In office 5 days a week
  • MS/PhD/Postdoc in Physics, Applied Mathematics, Computer Science, or a related field.
  • Expertise in classic ML and statistics, deep learning, Gaussian processes, transformers+self attention
  • Zeal for best practices in group development and coding to production
  • Past experience working with biological data a plus
Tech Stack
  • Python
  • PyTorch
  • TensorFlow
  • NumPy
  • Pandas

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