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Internship Computer Vision Robotics Jobs in Senatobia, MS

DPDHL

Order Filler Picker

Southaven, MS · On-site

$19.05/hr

... robot; prepare packages for outbound shipping. Position: Order Filler Picker Shift: Second shift ... Our excellent benefits package includes: - Affordable medical, dental, and vision coverage ...

DHL

Order Filler Picker

Southaven, MS · On-site

$19.05/hr

... robot; prepare packages for outbound shipping. Position: Order Filler Picker Shift: Second shift ... Our excellent benefits package includes: - Affordable medical, dental, and vision coverage ...

ROCKWOOL

Automation Engineer

Byhalia, MS · On-site

Bachelor's degree in Computer or Software Engineering, or equivalent practical experience. * 2-5 ... Demonstrated experience working with automated systems, robotics, and conveyors. * Solid ...

Rockwool

Automation Engineer

Byhalia, MS · On-site

Bachelor's degree in Computer or Software Engineering, or equivalent practical experience. * 2-5 ... Demonstrated experience working with automated systems, robotics, and conveyors. * Solid ...

CVS Health

Pharmacy Intern

Southaven, MS

$18 - $19.75/hr

Close visual acuity to perform activities such as: transcribing, viewing a computer terminal ... Once state regulations are met, pharmacy interns should be striving to provide patient ...

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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.

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.
Internship Computer Vision Robotics jobs near you

Vision Systems Engineer

Howard Industries

Southaven, MS • On-site

Other

Re-posted 28 days ago

Job description

Company Overview:

Howard Industries, Inc. is the nation’s leading manufacturer of distribution transformers, with over 10 million overhead, single-phase and three-phase pad mounted, and network transformers in service throughout the United States and abroad. As Mississippi's largest privately held employer headquartered within the state, the company employs over 5,000 team members, generates over $1 billion in revenue, and consists of three main corporate divisions: Howard Power Solutions, Howard Transportation, and Howard Technology Solutions.


Vision Systems Engineer (AI Specialist)

We are seeking a highly skilled Vision Systems Engineer to lead the integration and optimization of advanced automated inspection systems within our high-volume, high-mix heavy manufacturing facility.

In this role, you will be the subject matter expert for AI vision platforms, leveraging both 2D and 3D imaging to solve complex inspection challenges. You will work in a fast-paced environment where precision is critical, ensuring every component—from massive structural parts to small identification decals—meets our rigorous quality standards.


Key Responsibilities

  • System Design & Integration: Architect, program, and deploy vision solutions utilizing AI-driven toolsets for complex defect detection.
  • 2D & 3D Implementation: Configure 2D cameras for AI based analysis and 3D lasers for volumetric analysis and defect detection.
  • Automated Inspection Tasks:
  • Part Location: Develop robust "Search" and "Shape Trailing" logic to locate heavy components on high-volume lines.
  • Decal & Placement Verification: Utilize AI learning to verify the presence, orientation, and correct application of decals and labels.
  • Cosmetic Defect Detection: Train AI models to distinguish between acceptable surface variations and true cosmetic flaws (scratches, dents, or coating irregularities) on diverse materials.
  • OCR/OCV: Implement high-reliability reading of metal-stamped or printed nameplates and VIN plates in challenging industrial lighting.
  • Hardware Specification: Select appropriate lighting (backlights, ring lights, coaxial), lenses, and mounting bracketry to withstand heavy manufacturing environments.
  • Continuous Improvement: Analyze inspection data to reduce "false rejects" and improve "overkill" rates using statistical analysis tools.


Required Qualifications

  • Bachelors Degree: Mechanical Engineering, Electrical Engineering, Industrial Engineering, Computer Engineering, or Software Engineering
  • Technical Expertise: Minimum 3–5 years of hands-on experience with Vision Systems
  • 3D Vision: Proven experience with 3D laser profilers or area sensors for Z-axis measurement and inspection.
  • 2D Vision: Proven experience utilizing 2D cameras to train AI learning models to detect defects.
  • Manufacturing Background: Experience in a heavy manufacturing or automotive environment; comfortable working around large-scale automation and robotics.
  • Problem Solving: Deep understanding of industrial optics, including the physics of light and how to filter out ambient interference in a factory setting.
  • Communication: Ability to collaborate with PLC Engineers (Allen-Bradley) to integrate vision data into the broader automation cell.


Preferred Skills

  • Experience with Zebra, Keyence, Cognex, or Sick Vision System technology for quality inspection.
  • Knowledge of robotic guidance (linking vision systems to Fanuc, ABB, Yaskawa or Kuka arms).

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