ZipRecruiter

Log In

1

Internship Computer Vision Engineer Jobs in Santa Clara, CA

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 ...

previous pagenext page

Showing results 21-40

All JobsComputer Vision Engineer JobsInternship Computer Vision Engineer JobsInternship Computer Vision Engineer Jobs in Santa Clara, CA

Internship Computer Vision Engineer information

See Santa Clara, CA salary details

$15

$29

$45

How much do internship computer vision engineer jobs pay per hour?

As of Aug 22, 2026, the average hourly pay for internship computer vision engineer in Santa Clara, CA is $29.85, according to ZipRecruiter salary data. Most workers in this role earn between $24.28 and $33.89 per hour, depending on experience, location, and employer.

What does an internship computer vision engineer do?

An Internship Computer Vision Engineer assists in developing and testing algorithms that allow computers to interpret and process visual information from the world, such as images and videos. They often work on tasks like object detection, image classification, and facial recognition using programming languages like Python and tools such as OpenCV or TensorFlow. Interns may also help collect and annotate datasets, run experiments, and analyze results under the guidance of senior engineers. This role is ideal for students or recent graduates seeking hands-on experience in the field of computer vision and artificial intelligence.

What are the key skills and qualifications needed to thrive as an internship computer vision engineer?

To thrive as an Internship Computer Vision Engineer, you need a solid background in computer science, mathematics, and image processing, usually demonstrated through coursework or relevant project experience. Familiarity with programming languages like Python or C++, frameworks such as OpenCV or TensorFlow, and knowledge of machine learning algorithms are commonly expected. Strong problem-solving abilities, attention to detail, and effective teamwork skills help you stand out in this collaborative and innovative field. These skills and qualities are crucial for developing, testing, and optimizing computer vision solutions that address real-world visual data challenges.

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

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

What are popular job titles related to Internship Computer Vision Engineer jobs in Santa Clara, CA?

For Internship Computer Vision Engineer jobs in Santa Clara, CA, the most frequently searched job titles are:

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

The top searched job categories for Internship Computer Vision Engineer jobs in Santa Clara, CA are:

What cities near Santa Clara, CA are hiring for Internship Computer Vision Engineer jobs?

Cities near Santa Clara, CA with the most Internship Computer Vision Engineer job openings:

Internship Computer Vision Engineer jobs near you
Infographic showing various Internship Computer Vision Engineer job openings in Santa Clara, CA as of August 2026, with employment types broken down into 1% As Needed, 73% Full Time, 22% Part Time, and 4% Contract. Highlights an 96% Physical, 1% Hybrid, and 3% Remote job distribution, with an average salary of $62,089 per year, or $29.9 per hour.

Robotics Vision Engineer

Brachium

San Ramon, CA • On-site

Full-time

Re-posted 25 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