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Internship Computer Vision Robotics Jobs in Virginia

flowcontrol

Sales Engineer

Richmond, VA

... vision, robotics, and control systems. * DCS hands-on configuration (We could require strong ... Proficient computer and technical skills, including working knowledge of Salesforce and MS Office ...

flowcontrol

Sales Engineer

Richmond, VA · On-site

... vision, robotics, and control systems. * DCS hands-on configuration (We could require strong ... Proficient computer and technical skills, including working knowledge of Salesforce and MS Office ...

flowcontrol

Sales Engineer

Richmond, VA

... vision, robotics, and control systems. * DCS hands-on configuration (We could require strong ... Proficient computer and technical skills, including working knowledge of Salesforce and MS Office ...

PhoenixTeam

UiPath Automation Engineer

Arlington, VA · Remote

... (RPA) solutions within federal government environments. This role is responsible for both ... Implement Computer Vision automation capabilities to support automation of legacy applications ...

PhoenixTeam

UiPath Automation Engineer

Arlington, VA · On-site

$85K - $125K/yr

... (RPA) solutions within federal government environments. This role is responsible for both ... Implement Computer Vision automation capabilities to support automation of legacy applications ...

Swarmint LLC

Full Stack Developer

Arlington, VA · On-site

$150K - $200K/yr

SwarmInt is a defense AI startup developing computer vision and edge AI capabilities for military ... Experience with autonomous systems or robotics frameworks (ArduPilot, ROS) Benefits: * Competitive ...

System One

AI RPA Solutions Architect

Hampton, VA · On-site

AI/RPA Solutions Architect Location: Langley, AFB - On-site full-time Clearance: Active TS/SCI ... Knowledge of NLP, deep learning, computer vision, and reinforcement learning * Prompt engineering ...

System One

AI RPA Solutions Architect

Hampton, VA · On-site

AI/RPA Solutions Architect Location: Langley, AFB - On-site full-time Clearance: Active TS/SCI ... Knowledge of NLP, deep learning, computer vision, and reinforcement learning * Prompt engineering ...

Flow Control Group

Sales Engineer

Richmond, VA · On-site

$75K - $100K/yr

... vision, robotics, and control systems. * DCS hands-on configuration (We could require strong ... Proficient computer and technical skills, including working knowledge of Salesforce and MS Office ...

MOLG Inc.

Mechanical Engineer

Sterling, VA · On-site

Work with a talented cross-functional team of software, mechanical, electrical, and robotics engineers to develop our core technologies in robotics, assembly intelligence, computer vision, and ...

AeroVironment

Software Engineer

Centreville, VA

... computer vision technologies for both user applications (to accelerate and automate tasks, reduce analyst cognitive load) and robotic systems (to provide perception capabilities, enable autonomy and ...

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All JobsComputer Vision Robotics JobsInternship Computer Vision Robotics JobsInternship Computer Vision Robotics Jobs in Virginia

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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Internship Computer Vision Robotics jobs near you

Embedded Systems & Robotics Engineer with Security Clearance

MAG DS Corp dba MAG Aerospace

Fairfax, VA • On-site

Other

Posted 14 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

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