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Internship Computer Vision Robotics Jobs (NOW HIRING)

Brachium

Robotics Vision Engineer

San Ramon, CA · On-site

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 ...

Qualcomm

Computer Vision Engineer

San Diego, CA · On-site

$118.40K - $139.60K/yr

... robotics, and immersive AR/VR platforms. The group's work spans computer vision and video algorithm development, mapping these algorithms to computer vision and neural-processing accelerator ...

Merlin Labs

Computer Vision Engineer

Boston, MA

$121.10K - $142.90K/yr

Collaborate with robotics, controls, and systems engineers to integrate computer vision into robotic platforms. * Conduct experiments, evaluate performance, and refine algorithms for accuracy ...

Anduril Industries

Perception Engineer

Seattle, WA · On-site

Bachelor's degree in Computer Science, Electrical Engineering, Robotics, or related field • Experience: 4-6 years of industry experience in computer vision engineering OR Master's degree with 2-4 ...

Merlin Labs

Computer Vision Engineer

Boston, MA

$121.10K - $142.90K/yr

Collaborate with robotics, controls, and systems engineers to integrate computer vision into robotic platforms. * Conduct experiments, evaluate performance, and refine algorithms for accuracy ...

Norbert Health

Computer Vision/ML Engineer

Brooklyn, NY · On-site

$117.20K - $138.30K/yr

The company Norbert is building autonomous robots that deliver healthcare. Our AI sensing platform ... What you will do: * Design, fine-tune, and deploy computer vision models (YOLO, InsightFace ...

Norbert Health

Computer Vision/ML Engineer

New York, NY · On-site

$122K - $143.90K/yr

The company Norbert is building autonomous robots that deliver healthcare. Our AI sensing platform ... What you will do: * Design, fine-tune, and deploy computer vision models (YOLO, InsightFace ...

Norbert Health

Computer Vision/ML Engineer

New York, NY · On-site

$122K - $143.90K/yr

The company Norbert is building autonomous robots that deliver healthcare. Our AI sensing platform ... What you will do: * Design, fine-tune, and deploy computer vision models (YOLO, InsightFace ...

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Internship Computer Vision Robotics information

What are the key skills and qualifications needed to thrive as an Internship Computer Vision Robotics, and why are they important?

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 are Internship Computer Vision Robotics positions?

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 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 May 2026, with employment types broken down into 4% As Needed, 6% Full Time, 82% Part Time, 1% Temporary, 5% Contract, and 2% Nights. Highlights an 37% Physical, 1% Hybrid, and 62% Remote job distribution.
Research Engineer - Robot Learning

Research Engineer - Robot Learning

Applied Intuition

Sunnyvale, CA • On-site

Full-time

Posted 15 days ago

Job description

Job Summary:
Applied Intuition is a Silicon Valley company focused on creating digital infrastructure for physical AI. The Research Engineer will contribute to cutting-edge technology for autonomous driving and robotics, working with a team of experts to develop and deploy methods in various robotic systems.
Responsibilities:
• Support the team robotic and data collection hardware set up, and design the mechatronic system for customized demands
• Construct robotic simulation environments at scale and use it for RL training
• Process human data for robotic use cases
• Work closely with Research Scientists and interns on high-quality research publications to submit to top-tier conferences
• Collaborate with our engineering teams on ADAS, data, and simulation to deploy end-to-end algorithms for mass production vehicles, and neural simulation/generation for tools supporting autonomy development
Qualifications:
Required:
• Hands-on experience in at least one of the following fields: World-action foundation model, video/Gaussian generation, diffusion policy, multi-modal robot learning
• Hands-on experience in at least one of the following fields: VLA post-training, reinforcement learning
• Hands-on experience in at least one of the following fields: Physics-aware reconstruction, deformable simulation
• Passion for next-generation, scalable autonomy and robotics for real-world systems
• Strong engineering and research skills and the ability to work both independently and collaboratively on projects
• Technical experience in: Python, Pytorch, computer vision, robotics systems, and distributed machine learning model training
Preferred:
• Industry experience on relevant topics (self-driving application preferred)
• MSc or PhD in machine learning and computer vision with autonomy and robotics applications or closely related field
• Passion for building and shipping customer-focused software frameworks or tools
Company:
Applied Intuition provides software infrastructure to safely develop, test, and deploy autonomous vehicles
 at scale. Founded in 2017, the company is headquartered in Mountain View, USA, with a team of 1001-5000 employees. The company is currently Late Stage.

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