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Computer Vision Engineer Jobs in Cupertino, CA (NOW HIRING)

Brachium

Robotics Vision Engineer

San Ramon, CA · On-site

- Robotics Vision Engineer Title Robotics Vision Engineer Company Description We are a 3-year-old ... Develop and evaluate state-of-the-art computer vision algorithms for real-time control of robots ...

Brachium

Robotics Vision Engineer

San Ramon, CA · On-site

Robotics Vision Engineer Title Robotics Vision Engineer Company Description We are a 3-year-old ... Develop and evaluate state-of-the-art computer vision algorithms for real-time control of robots ...

Meta

Research Engineer, Computer Vision

Sunnyvale, CA

$183K/yr

Research Engineer, Computer Vision Responsibilities: * Apply relevant AI and machine learning techniques to build intelligent rich perception systems that improve Meta's products and experiences ...

Skild AI

Computer Vision AI & ML Engineer

San Mateo, CA · On-site

$127K - $149K/yr

Position Overview We are seeking a Computer Vision AI & ML Engineer to design, build, and deploy advanced perception systems for real-world robotics and automation. You will work across the full ...

Meta

Research Engineer, Computer Vision

Sunnyvale, CA · On-site

$183K - $257K/yr

Meta is seeking AI Software Engineers to join. The ideal candidate will have industry experience working on computer vision and NLP related topics. The position will involve taking these skills and ...

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Showing results 21-40

All JobsComputer Vision Engineer JobsComputer Vision Engineer Jobs in Cupertino, CA

Computer Vision Engineer information

See Cupertino, CA salary details

$59.8K

$149.9K

$169.6K

How much do computer vision engineer jobs pay per year?

As of Aug 20, 2026, the average yearly pay for computer vision engineer in Cupertino, CA is $149,919.00, according to ZipRecruiter salary data. Most workers in this role earn between $137,600.00 and $162,200.00 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.

More about Computer Vision Engineer jobs

What are the most commonly searched types of Computer Vision Engineer jobs in Cupertino, CA?

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

What job categories do people searching Computer Vision Engineer jobs in Cupertino, CA look for?

The top searched job categories for Computer Vision Engineer jobs in Cupertino, CA are:

What cities near Cupertino, CA are hiring for Computer Vision Engineer jobs?

Cities near Cupertino, CA with the most Computer Vision Engineer job openings:

Computer Vision Engineer jobs near you
Infographic showing various Computer Vision Engineer job openings in Cupertino, CA as of August 2026, with employment types broken down into 1% As Needed, 74% Full Time, 20% Part Time, and 5% Contract. Highlights an 96% Physical, 1% Hybrid, and 3% Remote job distribution, with an average salary of $149,919 per year, or $72.1 per hour.

Robotics Vision Engineer

Brachium

San Ramon, CA • On-site

Full-time

Re-posted 23 days ago

Job description

Job Description - Robotics Vision Engineer
Title
Robotics Vision Engineer
Company Description
We are a 3-year-old dental robotics startup in the San Francisco bay area. We're technologists, scientists and artists. We're startup veterans with backgrounds in healthcare, robotics and consumer electronics. We are developing groundbreaking technologies that will transform a whole industry segment. We love what we do and we have fun at it. We work in a laid-back, flat hierarchal company structure. We're passionate about building an outstanding company and products that change consumer experiences.
Job Description
We're looking for an experienced, detail-oriented individual to join our team and work in a startup environment. This is an opportunity to apply your cross-functional skillsets, creativity and experience in computer vision, machine learning, robotics and control systems to solve exciting product development challenges. This is a high-visibility position within our fast-growing company and assumption of increased responsibilities over time is expected.
Essential Job Duties and Responsibilities
  • Develop and test vision algorithms to control robots and advanced hardware systems created for human interaction environments
  • Develop and evaluate state-of-the-art computer vision algorithms for real-time control of robots and other hardware devices
  • Port, implement, and optimize analytics and machine learning algorithms using special purpose computing architectures
  • Propose and implement creative, efficient solutions for vision and control problems, and contribute to expanding our intellectual property portfolio
  • Perform technical performance benchmarking and analyses to support engineering decisions
  • Determine project specifications and project schedule by studying product requirements and specifications, calculating time requirements and sequencing project elements
  • Assist in installation and running of product demonstrations
  • Debugging with no additional support.
  • Participate in design reviews
  • Documentations for design control

Skills & Experience
  • Fluency in C++, OpenCV and PCL
  • Experience in 3D computer vision and video analytics algorithms, such as image segmentation, 3d reconstruction, object and motion detection, tracking and classification
  • Experience in machine learning algorithms for vision problems, including deep learning.
  • Experience in real-time video analytics pipeline
  • Experience in robotics desirable
  • Knowledge of internal hardware, 3D camera designs, design logic, and camera logic
  • Preferable development experience in a regulated environment (healthcare, automotive, etc.)
  • Effective documentation practices and experience writing reports and protocols
  • High level of technical aptitude and understanding of system design
  • Microsoft Office and technical presentation skills

Passions
  • Technical: engineering reliable, safe, efficient products
  • Design: Building great consumer experiences
  • Innovation: Seeing the world differently and generating solution
  • Contribution: Building something that serves humanity
  • Learning organization: highly engaged team member
  • Entrepreneurial: sees challenges, opportunities for improvement, and adaptability

Qualifications
  • B.S., M.S. or Ph.D. and 5+ years of work in computer vision, software or related field
  • Strong competencies in algorithms and software design optimized for embedded systems
  • Working experience in algorithm optimization for embedded hardware platforms

To Apply
  • Please submit a current resume and links to any additional information such as online portfolio, projects, GitHub, LinkedIn, etc.

Apply