1

Internship Computer Vision Robotics Jobs in Louisiana

Integer fully covers medical, prescription, vision, and dental insurance costs for the employee and ... Bachelor's or Master's degree in Computer Science, Robotics, Electrical Engineering, Mechanical ...

Integer fully covers medical, prescription, vision, and dental insurance costs for the employee and ... Bachelor's or Master's degree in Computer Science, Robotics, Electrical Engineering, Mechanical ...

Integer fully covers medical, prescription, vision, and dental insurance costs for the employee and ... Bachelor's or Master's degree in Computer Science, Robotics, Electrical Engineering, Mechanical ...

... Computer Science, Robotics, or a related field. Master's degree preferred. * Minimum of 5 years of ... Vision & 401(K) with Company Funding - Paid Parental Leave Are you a Military Veteran? Textron ...

... Computer Science, Robotics, or a related field. Master's degree preferred. * Minimum of 5 years of ... Vision & 401(K) with Company Funding - Paid Parental Leave Are you a Military Veteran? Textron ...

... Computer Science, Robotics, or a related field. Master's degree preferred. * Minimum of 5 years of ... Vision & 401(K) with Company Funding - Paid Parental Leave Are you a Military Veteran? Textron ...

next page

Showing results 1-20

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.

Is computer vision a dead field?

Computer vision is an active and rapidly evolving field with ongoing research and industry applications, especially in robotics and automation. Skills in machine learning, deep learning, and programming with tools like OpenCV and TensorFlow are in high demand for roles such as internship computer vision robotics. The field continues to grow as new techniques and hardware improve the capabilities of autonomous systems.

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.

What are the big 4 internships?

The 'Big 4' internships typically refer to the internship programs offered by the four largest professional services firms: Deloitte, PricewaterhouseCoopers (PwC), Ernst & Young (EY), and KPMG. These internships are highly competitive and often focus on areas such as consulting, audit, tax, and advisory services, providing valuable experience for students pursuing careers in finance, accounting, or consulting. For a computer vision robotics internship, relevant skills include programming, machine learning, and robotics tools, but the 'Big 4' are primarily known for their accounting and consulting internships.

How to get a robotics internship?

To secure a robotics internship, candidates should have a strong foundation in computer vision, robotics, and programming languages like Python or C++. Gaining experience through relevant coursework, personal projects, or competitions, and demonstrating knowledge of robotics frameworks such as ROS can improve chances. Applying to internships through university career centers or company websites and preparing a technical resume are also important steps.

What does a computer vision intern do?

A computer vision intern assists in developing and testing algorithms that enable computers to interpret visual data, such as images and videos. They often work with machine learning models, programming languages like Python or C++, and tools like OpenCV or TensorFlow, under the supervision of experienced engineers to support projects related to object detection, image processing, and autonomous systems.
What are popular job titles related to Internship Computer Vision Robotics jobs in Louisiana? For Internship Computer Vision Robotics jobs in Louisiana, the most frequently searched job titles are:
What cities in Louisiana are hiring for Internship Computer Vision Robotics jobs? Cities in Louisiana with the most Internship Computer Vision Robotics job openings:
Infographic showing various Internship Computer Vision Robotics job openings in Louisiana as of July 2026, with employment types broken down into 16% Internship, and 84% Full Time. Highlights an 100% In-person job distribution.

Industrial AI Robotics Engineer

OneSource Professional Search

Kenner, LA • On-site

Full-time

Posted 12 days ago


Job description

We're supporting a well-established industrial manufacturing company with a search for an Industrial AI Vision Robotics Engineer to help develop next-generation AI-powered vision systems and robotic automation solutions. This is an opportunity to work on cutting-edge applications that combine artificial intelligence, computer vision, robotics, and industrial automation to improve manufacturing processes through advanced machine learning and edge computing technologies.
What You'll Do
  • Develop AI-powered computer vision systems for object identification, classification, tracking, and robotic automation.
  • Design, train, and optimize machine learning models for real-world industrial applications.
  • Deploy edge AI solutions using NVIDIA hardware platforms, including Jetson devices and CUDA-enabled GPUs.
  • Integrate vision systems with robotic arms, conveyors, sensors, and automated equipment.
  • Support image acquisition, camera calibration, dataset development, testing, validation, and performance optimization.
  • Collaborate with mechanical, electrical, software, and manufacturing teams to bring new automation technologies from concept through implementation.
  • Troubleshoot and improve AI and robotic systems to maximize reliability, accuracy, and throughput.
  • Stay current with emerging technologies in AI, robotics, computer vision, and industrial automation.

Qualifications
  • Bachelor's degree in Robotics Engineering, Computer Engineering, Electrical Engineering, Computer Science, Mechatronics, or a related technical field.
  • 3-5 years of experience in AI, robotics, machine vision, automation, or a related engineering discipline.
  • Experience with machine learning frameworks (such as ROS/ROS2) and programming in Python and/or C++.
  • Hands-on experience with NVIDIA Jetson, CUDA, TensorRT, or similar AI acceleration technologies.
  • Strong analytical, troubleshooting, and problem-solving skills.
  • Ability to work collaboratively in a fast-paced engineering environment.

Why Join?
  • Opportunity to develop innovative AI and robotic automation technologies with real-world impact.
  • Work alongside multidisciplinary engineering teams on new product development and emerging technologies.
  • Stable, growing manufacturing organization with a strong commitment to engineering innovation.

Employment visa sponsorship is unavailable for this position. Applicants requiring employment visa sponsorship now or in the future (e.g., F-1 STEM OPT, H-1B, TN, J1 etc.) will not be considered.