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Internship Computer Vision Engineer Jobs in California

Apex Informatics

Computer Vision Engineer V

Sunnyvale, CA · On-site

$132K - $156K/yr

... programming and refactoring skills and able to understand and debug heavily threaded code. Preferred Qualification: • MS or PhD in EE/CS • Theoretical knowledge in the field of computer vision ...

Cesna Group

Junior Computer Vision Engineer

San Diego, CA · On-site

$100K - $200K/yr

... Vision * - Camera Calibration / Depth Estimation Qualifications Education and Experience * - Required: Master's degree in Computer Science or Electrical Engineering plus 2 or more years of relevant ...

PlusAI

Computer Vision Engineer Intern

Santa Clara, CA · On-site

$19 - $65/hr

Experience with 3D Vision * Publication record in relevant venues (CVPR, ICLR, ICCV, ECCV, NeurIPS ... hour Our internship hourly rates are a standard pay determined based on the position and your ...

Cesna Group

Computer Vision R&D Engineer

San Diego, CA · On-site

$100K - $200K/yr

We are seeking an Intermediate Computer Vision R&D Engineer to join our team. The candidate will be part of the core team of computer vision engineers. We will be developing new product lines ...

Dexterity

Senior Computer Vision Engineer

Redwood City, CA · On-site

$160K - $200K/yr

In this role at Dexterity, you will be working on writing Computer Vision code and building Machine Learning models for computer vision. The role will involve understanding our current systems and ...

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Internship Computer Vision Engineer information

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 California? The most popular types of Computer Vision Engineer jobs in California are:
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What job categories do people searching Internship Computer Vision Engineer jobs in California look for? The top searched job categories for Internship Computer Vision Engineer jobs in California are:
What cities in California are hiring for Internship Computer Vision Engineer jobs? Cities in California 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 California as of August 2026, with employment types broken down into 1% As Needed, 78% Full Time, 15% Part Time, 2% Temporary, and 4% Contract. Highlights an 96% Physical, 1% Hybrid, and 3% Remote job distribution.

Computer Vision Engineer V

Apex Informatics

Sunnyvale, CA • On-site

$132K - $156K/yr

Full-time

Re-posted 22 days ago

Job description

Top Skill
need solid DSP SW Engineer with recent exp in CV
Minimum Qualifications:
• Bachelor's degree in electrical engineering, computer science or equivalent relevant experience.
• 5+ years of experience designing and implementing complex real-time systems using C/C++ for embedded processors.
• 5+ years of experience in software development for imaging and CV algorithms or related signal processing fields.
• Solid C/C++ programming and refactoring skills and able to understand and debug heavily threaded code.
Preferred Qualification:
• MS or PhD in EE/CS
• Theoretical knowledge in the field of computer vision, machine learning, and image processing, or ISP sensors.
• Experience with low-level SW optimization at instruction level, loop optimization, vectorization, data organization and caching
• Theoretical knowledge of Audio pipeline and algorithms: capture, render, codecs.
• Experience in development of imaging and CV or related signal processing algorithms (e.g. OpenCV, Eigen, Halide, Game physics and 3D graphics, CODECs, or Communication)
• Prior experience with ARM or Risc-V CPUs, or Tensilica DSP architectures
TOP SKILLS
1. Great in Coding / Know C++ very well. Code efficiently and fast
2. Has long duration of ownership of complex environments - need to have long duration of assignments (1-2 years plus). Previous project experience. Complex algorithm environment. Need to see in resume.
3. Solve challenging problems that arise. Read/investigate/creative solutions. Proposing new algorithms. Need excellent problem solving.
Masters/PHD education helps. Bachelors min

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