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Internship Computer Vision Robotics Jobs in Bryan, TX

Provide guidance and mentorship to engineering interns, designers, and CAD technicians. * Ensure ... Medical, dental, vision, life, and disability insurance * Generous paid time off * 401(k): 50 ...

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.
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Infographic showing various Internship Computer Vision Robotics job openings in Bryan, TX as of July 2026, with employment types broken down into 17% Internship, and 83% Full Time. Highlights an 100% In-person job distribution.

Equipment Engineer / Project Manager Intern (Mandarin Speaking)

US Modules

College Station, TX

$13.75 - $18/hr

Full-time, Part-time, Internship

Posted 13 days ago


Job description

Position Overview

US Modules is seeking a highly motivated Equipment Engineer / Project Manager Internship to support equipment installation, manufacturing process improvements, and engineering projects within our solar module manufacturing facility.

This internship provides real-world experience working alongside equipment engineers, project managers, and international technical teams. The ideal candidate is fluent in both Mandarin and English, allowing them to communicate effectively with equipment suppliers and engineering partners in China.

Successful interns will have the opportunity to continue working part-time during the academic year, providing valuable experience while completing their degree.

Key Responsibilities Equipment Engineering

  • Assist with equipment installation, commissioning, and startup activities.
  • Support troubleshooting of automated manufacturing equipment.
  • Help analyze equipment performance and identify opportunities to improve uptime and efficiency.
  • Participate in preventive maintenance planning and continuous improvement initiatives.
  • Assist in documenting equipment specifications, operating procedures, and engineering changes.

Project Management

  • Support engineering projects from planning through implementation.
  • Track project timelines, action items, and deliverables.
  • Coordinate meetings with internal departments and external vendors.
  • Prepare project reports, presentations, and status updates.
  • Assist in managing multiple engineering projects simultaneously.

Vendor & Cross-Functional Communication

  • Translate technical discussions and documentation between Mandarin and English as needed.
  • Coordinate communication with overseas equipment manufacturers and suppliers.
  • Facilitate meetings between international vendors and the US Modules engineering team.
  • Support travel coordination and technical visits when applicable.

Continuous Improvement

  • Participate in Lean Manufacturing and process improvement initiatives.
  • Collect and analyze manufacturing data.
  • Recommend improvements to equipment performance, safety, and production efficiency.
  • Support implementation of engineering solutions.

Qualifications Required

  • Currently pursuing a Bachelor's or Master's degree in:
    • Mechanical Engineering
    • Electrical Engineering
    • Industrial Engineering
    • Manufacturing Engineering
    • Mechatronics Engineering
    • Or a related engineering discipline
  • Fluent in both Mandarin and English (written and verbal)
  • Strong organizational and project management skills
  • Excellent communication and interpersonal abilities
  • Proficient in Microsoft Office (Excel, PowerPoint, Word)
  • Ability to work in a manufacturing environment

Preferred

  • Interest in manufacturing, automation, or renewable energy
  • Experience with CAD software (SolidWorks, AutoCAD, etc.)
  • Knowledge of Lean Manufacturing or Six Sigma principles
  • Experience managing technical projects or engineering coursework
  • Familiarity with PLCs, robotics, or automated manufacturing systems

What You'll Gain

  • Hands-on experience in advanced solar module manufacturing
  • Exposure to automated production equipment and industrial engineering
  • Project management experience in a growing manufacturing operation
  • Opportunity to work directly with international equipment suppliers
  • Mentorship from experienced engineering professionals
  • Opportunity for continued part-time employment during the academic year
  • Potential pathway to full-time employment after graduation

Physical Requirements

  • Ability to work within a manufacturing environment.
  • Occasionally lift up to 25 pounds.
  • Stand, walk, bend, and move throughout the production facility.
  • Use standard office and manufacturing equipment.

Why Join US Modules?

At US Modules, you'll do more than complete an internship—you'll contribute to building America's clean energy future. You'll work on meaningful engineering projects, collaborate with industry experts, and gain practical experience that prepares you for a successful engineering career.

If you're passionate about engineering, manufacturing, and renewable energy, we'd love to hear from you.