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Internship Computer Vision Robotics Jobs (NOW HIRING)

Toggle Robotics

3D Computer Vision Engineer

$114K - $134K/yr

Toggle Robotics is a venture-backed robotics and software company focused on building technology for the construction and fabrication industries. They are seeking a 3D Computer Vision Engineer to ...

ASUS

Senior Computer Vision Engineer

Boston, MA · On-site

$164K - $237K/yr

The ASUS Robotics & AI Center is seeking a Senior Computer Vision Engineer to join our global research and development team. This role focuses on building theperceptionsystems that allow our UAVs and ...

Molg

Computer Vision Engineer

Sterling, VA · On-site

$110K - $130K/yr

Using robotics, computational design, and AI, our systems turn today's e-waste into resilient, data ... As a Computer Vision Engineer, you will: * Drive the architecture, development, and deployment of ...

Corvus Robotics

Robotics Technician

Mountain View, CA · On-site

$30 - $35/hr

Our fully autonomous Corvus One™drones use computer vision & robotics to automatically track inventory, improving worker safety and increasing labor efficiency. We believe that data-driven, safe ...

Pano

Computer Vision Engineer

San Francisco, CA · On-site +1

$141K - $184K/yr

The Role We are looking for a motivated Computer Vision Engineer to help build the next generation ... Robotics, or a related field. * 1-3 years of experience (including internships or research) in ...

MOLG Inc.

Computer Vision Engineer

Sterling, VA

$110K - $130K/yr

Molg builds robotics microfactories and software to autonomously assemble and disassemble complex ... As a Computer Vision Engineer, you will be responsible for: * Continuous design, development ...

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Internship Computer Vision Robotics information

What is an internship computer vision robotics?

Internship Computer Vision Robotics positions are temporary roles designed for students or early-career professionals to gain practical experience in applying computer vision techniques within robotic systems. Interns in these roles typically work on projects involving image processing, object detection, 3D vision, and integrating visual data into robotic control systems. These internships help candidates build technical skills, gain exposure to real-world robotics challenges, and often require knowledge of programming languages such as Python or C++, as well as familiarity with machine learning frameworks. They are commonly offered by research labs, tech companies, and robotics startups.

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

To thrive in an Internship Computer Vision Robotics role, you typically need a solid background in computer science, mathematics, and robotics, often supported by coursework or projects in machine learning and image processing. Familiarity with programming languages like Python or C++, and experience using tools such as OpenCV, ROS, and deep learning frameworks (e.g., TensorFlow or PyTorch) are commonly required. Strong problem-solving, teamwork, and effective communication skills set candidates apart in multidisciplinary environments. These skills are essential for developing innovative solutions and collaborating on complex robotics projects.

What types of projects and technologies will I typically work on during an internship in computer vision robotics?

As an intern in computer vision robotics, you will often work on hands-on projects involving tasks like object detection, image segmentation, sensor data processing, or robotic navigation. You may use programming languages like Python or C++, and frameworks such as OpenCV, ROS (Robot Operating System), and TensorFlow or PyTorch for machine learning components. Interns collaborate closely with engineers and researchers, participating in code reviews, testing algorithms on real or simulated robots, and troubleshooting system integration. This role offers exposure to both software development and hardware interaction, providing a comprehensive experience in robotics and computer vision.

What is the difference between Internship Computer Vision Robotics vs Internship Machine Learning?

AspectInternship Computer Vision RoboticsInternship Machine Learning
Required CredentialsRelevant coursework, basic programming skills, familiarity with robotics and vision toolsProgramming skills, math background, familiarity with algorithms and data analysis
Work EnvironmentRobotics labs, hardware integration, software developmentData analysis, software development, research environments
Employer & Industry UsageRobotics companies, research labs, tech firms working on autonomous systemsTech companies, research institutions, AI startups

Internship Computer Vision Robotics focuses on developing systems that enable robots to interpret visual data, combining hardware and software skills. In contrast, Internship Machine Learning emphasizes designing algorithms to analyze data and build predictive models. Both roles require programming knowledge but differ in their application areas and work environments.

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Internship Computer Vision Robotics jobs near you
Infographic showing various Internship Computer Vision Robotics job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 77% Full Time, 16% Part Time, and 6% Contract. Highlights an 97% Physical, 1% Hybrid, and 2% Remote job distribution.

Computer Vision Specialist (Robotics)

Hyphen Connect Limited

Seattle, WA • On-site

Full-time

Re-posted 9 hours ago

Job description

We are seeking a skilled Computer Vision Engineer. This role is pivotal in advancing robotic systems through high-fidelity spatial mapping and real-time object recognition. You will work closely with cutting-edge technology to integrate vision systems with robotic manipulation and navigation, to enhance automation capabilities.
Responsibilities:
  • Implement high-fidelity spatial mapping and real-time object recognition pipelines.
  • Integrate vision systems directly with robotic manipulation and navigation controls.
  • Train and fine-tune Vision-Language-Action (VLA) models.

Required Skills:
  • Proficiency in 3D Gaussian Splatting, NeRFs, and modern SLAM algorithms.
  • Experience with multimodal spatial AI frameworks.
  • Previous work integrating computer vision outputs with ROS2 or robotic hardware.

Apply