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Internship Computer Vision Robotics Jobs in Washington, DC

MOLG Inc.

Robot Tester

Sterling, VA

$22/hr

... robotics, computer vision, and microfactories. As a Robot Tester, you will be responsible for: * Running, supervising, and documenting tests run on Molg's Microfactories across various automated ...

Quid, Inc.

Senior Offline Mapping Engineer

Columbia, MD · On-site

$175 - $230/hr

  • Medical

  • Life

  • Retirement

Master's, or PhD in Computer Science, Computer Vision, Robotics, or a related field -- or equivalent demonstrated experience. This is a Senior‑to‑Staff level role. * Significant hands‑on ...

Quidient

Senior Offline Mapping Engineer

Columbia, MD · On-site

$175K - $230K/yr

  • Medical

  • Life

  • Retirement

  • PTO

Master's, or PhD in Computer Science, Computer Vision, Robotics, or a related field - or equivalent demonstrated experience. This is a Senior-to-Staff level role. * Significant hands-on experience ...

Rackner

Computer Science Internship

College Park, MD

$19 - $25/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Computer Science Intern Location: College Park, Maryland (across the street from campus) Who We Are ... Medical, Dental and Vision * Life insurance, and short + long term disability * Industry-Leading ...

Rackner

Computer Science Internship

College Park, MD · On-site

$19 - $25/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Computer Science Intern Location: College Park, Maryland (across the street from campus) Who We Are ... Medical, Dental and Vision * Life insurance, and short + long term disability * Industry-Leading ...

Rackner

Computer Science Internship

College Park, MD

$19 - $25/hr

Computer Science Intern Location: College Park, Maryland (across the street from campus) Who We Are ... Medical, Dental and Vision * Life insurance, and short + long term disability * Industry-Leading ...

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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?

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 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 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 popular job titles related to Internship Computer Vision Robotics jobs in Washington, DC?

For Internship Computer Vision Robotics jobs in Washington, DC, the most frequently searched job titles are:

What job categories do people searching Internship Computer Vision Robotics jobs in Washington, DC look for?

The top searched job categories for Internship Computer Vision Robotics jobs in Washington, DC are:

Internship Computer Vision Robotics jobs near you
Infographic showing various Internship Computer Vision Robotics job openings in Washington, DC as of August 2026, with employment types broken down into 1% As Needed, 73% Full Time, 20% Part Time, and 6% Contract. Highlights an 96% Physical, 1% Hybrid, and 3% Remote job distribution.

Embedded Systems & Robotics Engineer

MAG Aerospace

Fairfax, VA • On-site

Full-time

Re-posted 20 days ago

Job description

Position Summary
MAG is staffing for an Embedded Systems & Robotics Engineer who will bridge the critical hardware-software boundary for autonomous tactical systems. You'll modify and enhance systems and solutions that operate independently in GPS-denied environments, from underwater vehicles to aerial swarms, while ensuring reliability in the harshest conditions.
US Citizens Only
Former US Defense Contractor / US Gov / US Military Experience Only
This is a Hybrid Position - Remote mainly - but as well on call to come into a MAG office when requested.
We are seeking candidates who live in proximity to our corporate HQ in Fairfax, VA primarily but will entertain persons living near our satellite offices in:
Aberdeen, MD - Titusville, FL - Newport News, VA - Carthage NC
Essential Duties and Responsibilities
Primary Responsibilities
  • Enhance or augment embedded software for autonomous vehicles (UGV, UAV, UUV, USV) to extend baseline capabilities
  • Implement sensor fusion for autonomous navigation (LIDAR, cameras, IMU, sonar)
  • Design control systems for robotic platforms and actuators
  • Create hardware abstraction layers following MOSA/SOSA standards
  • Develop digital twin simulations for hardware-in-the-loop testing
  • Implement real-time operating systems (RTOS) and safety-critical software
  • Develop and verify safety-critical software in accordance with established standards and best practices
  • Design and fabricate custom hardware solutions using 3D printing and rapid prototyping
  • Apply Model-Based Systems Engineering (MBSE) practices using SysML/AADL
Secondary Responsibilities
  • Lead field testing and validation of autonomous systems
  • Support deployment and troubleshooting in operational environments
  • Create hardware test fixtures and validation procedures
  • Document MOSA compliance and interface specifications
  • Train operators on system capabilities and limitations

Requirements
Experience:
Required Qualifications
  • 5+ years embedded systems and/or robotics development experience
  • Strong proficiency in C and C++ for real-time for resource-constrained systems
  • Expert proficiency and practical knowledge of Python for scripting, tooling, and rapid prototyping
  • Experience with ROS/ROS2 for robotics development
  • Hands-on experience with autonomous vehicle platforms
  • Proficiency with CAD tools and 3D printing/fabrication
  • Understanding of control theory and path planning algorithms
  • Experience with hardware communication protocols (CAN, I2C, SPI, UART)
  • Familiarity with MOSA/SOSA standards and open architectures
  • Experience with simulation tools (Gazebo, MATLAB/Simulink)
Preferred Qualifications
  • Experience with NVIDIA Jetson platforms for autonomous systems
  • Military/defense robotics experience (ROS-M, JAUS)
  • Hands-on experience with RTOS (e.g., FreeRTOS, VxWorks) and/or embedded Linux (Yocto, Buildroot)
  • Knowledge of digital twin technologies and real-time simulation
  • Familiarity with DO-178C, DO-254, or similar safety standards
  • Experience with swarm robotics and distributed control
  • Understanding of SLAM and computer vision for navigation
  • Experience with environmental testing (MIL-STD-810)
  • Pilot's license or experience with FAA Part 107 operations

Education:
  • Bachelor's degree in EE, CE, ME, CS or related field

Clearance:
  • Must be eligible for Secret security clearance
  • US Citizenship required

Special Note
What Makes You Successful Here
  • You can go from CAD design to functioning prototype in days
  • You understand autonomy from sensors to behavior planning
  • You apply systems engineering rigor to rapid prototyping
  • You're comfortable with both lab development and field operations
  • You see MOSA as an enabler, not a constraint

Apply