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Internship Computer Vision Robotics Jobs in Hyattsville, MD

Quidient

Senior Offline Mapping Engineer

Columbia, MD · On-site

$175K - $230K/yr

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 ...

Danaher

Sr. AI Engineer

Washington, DC · On-site +1

$118K - $162K/yr

Neural Networks, Foundation Model, Agentic Workflows, Machine Learning, Computer Vision, Robotics) is preferred. * Long standing experience in the Life Science, Diagnostics, Biotechnology or Tech ...

Danaher

Sr. AI Engineer

Washington, DC · On-site

$118K - $162K/yr

Neural Networks, Foundation Model, Agentic Workflows, Machine Learning, Computer Vision, Robotics) is preferred. * Long standing experience in the Life Science, Diagnostics, Biotechnology or Tech ...

Quid, Inc.

Senior Offline Mapping Engineer

Columbia, MD · On-site

$175 - $230/hr

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

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

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

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 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 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 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 Hyattsville, MD?

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

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

The top searched job categories for Internship Computer Vision Robotics jobs in Hyattsville, MD are:

Internship Computer Vision Robotics jobs near you

2027 PhD Graduate - Subsea Robotics Engineer

Johns Hopkins Applied Physics Laboratory

Laurel, MD

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 14 days ago

Johns Hopkins Applied Physics Laboratory rating

9.6

Company rating: 9.6 out of 10

Based on 8 frontline employees who took The Breakroom Quiz

2nd of 74 rated research

Job description

Description
Are you excited about developing software that enables autonomous underwater vehicles to operate in challenging real-world environments?
Do you enjoy combining robotics, dynamics, controls, and software engineering to solve complex mission problems? If so, the Maritime Robotics Group (KMM) is looking for an early-career Subsea Robotics Engineer to join our Modeling and Control team.
Our mission is to develop, integrate, test, and deploy advanced robotic capabilities that provide our nation with an advantage in autonomous maritime systems. We build software that enables autonomous and remotely operated underwater vehicles to navigate, maneuver, interact with their environment, and accomplish challenging operational missions. Our work spans simulation, controls, autonomy, system integration, laboratory testing, and at-sea experimentation, with an emphasis on delivering robust capabilities that transition to operational systems.
As a member of our team, you will work closely with robotics, software, mechanical, electrical, and ocean engineers to develop and deploy advanced underwater robotic systems.
As a member of our team, you will:
  • Develop robotics software for Autonomous Underwater Vehicles (AUVs), Remotely Operated Vehicles (ROVs), and other subsea robotic systems using ROS 2.
  • Design, implement, and maintain modular software in C++ and Python on Linux-based systems.
  • Develop and integrate dynamics, controls, guidance, navigation, and autonomy algorithms for underwater robotic platforms.
  • Build high-fidelity simulation environments and modeling tools to support software development, system integration, and mission planning.
  • Integrate sensors, actuators, and vehicle subsystems into robust robotic software architectures.
  • Evaluate vehicle performance through simulation, laboratory testing, and field experiments, using collected data to improve system performance.
  • Support integration and testing of robotic systems in laboratory, pool, and at-sea environments.
  • Collaborate across multidisciplinary teams to transition software from development into operational robotic systems.

Qualifications
You will meet our minimum qualifications for the job if you:
  • Have a Ph.D. in Robotics, Mechanical Engineering, Electrical Engineering, Ocean Engineering, Aerospace Engineering, Computer Science, or a related field.
  • Have experience developing robotic software using ROS 2.
  • Have experience developing software on Linux.
  • Are proficient in Python and C++.
  • Have experience developing, implementing, or testing dynamic systems, feedback control algorithms, robotic simulation, or autonomous systems through coursework, research projects, internships, or professional experience.
  • Have familiarity with software engineering best practices, including Git-based version control, debugging, testing, and documentation.
  • Enjoy working in multidisciplinary teams to solve challenging engineering problems.
  • Are able to obtain an Interim Secret security clearance by your start date and ultimately obtain a Secret clearance. If selected, you will be subject to a government security clearance investigation and must meet the requirements for access to classified information. Eligibility requirements include U.S. citizenship.
  • Have a minimum 3.0 GPA on a 4.0 scale. When prompted to upload attachments, please include a copy of your college transcripts (unofficial transcripts are acceptable).

You'll go above and beyond our minimum requirements if you...
  • Have experience developing dynamics, controls, guidance, navigation, or autonomy software for robotic systems.
  • Have experience modeling and simulating robotic or autonomous systems using Gazebo, Ignition, Stonefish, Isaac Sim, MATLAB/Simulink, or similar tools.
  • Have experience integrating robotic sensors such as IMUs, DVLs, sonars, cameras, pressure sensors, or manipulators.
  • Have experience with state estimation, system identification, trajectory generation, optimization, or motion planning.
  • Have experience with containerized software development, continuous integration, or modern DevSecOps workflows.
  • Have participated in field testing, vehicle integration, or deployment of robotic systems.
  • Have demonstrated initiative in developing new technical capabilities or leading engineering efforts.

About Us
Why Work at APL?
The Johns Hopkins University Applied Physics Laboratory (APL) brings world-class expertise to our nation's most critical defense, security, space and science challenges. While we are dedicated to solving complex challenges and pioneering new technologies, what makes us truly outstanding is our culture. We offer a vibrant, welcoming atmosphere where you can bring your authentic self to work, continue to grow, and build strong connections with inspiring teammates.
At APL, we celebrate our differences of perspectives and encourage creativity and bold, new ideas. Our employees enjoy generous benefits, including a robust education assistance program, unparalleled retirement contributions, and a healthy work/life balance. APL's campus is located in the Baltimore-Washington metro area. Learn more about our career opportunities at https://www.jhuapl.edu/careers.
All qualified applicants will receive consideration for employment without regard to race, creed, color, religion, sex, gender identity or expression, sexual orientation, national origin, age, physical or mental disability, genetic information, veteran status, occupation, marital or familial status, political opinion, personal appearance, or any other characteristic protected by applicable law. APL is committed to providing reasonable accommodation to individuals of all abilities, including those with disabilities. If you require a reasonable accommodation to participate in any part of the hiring process, please contact Accessibility@jhuapl.edu.
The referenced pay range is based on JHU APL's good faith belief at the time of posting. Actual compensation may vary based on factors such as geographic location, work experience, market conditions, education/training and skill level with consideration for internal parity. For salaried employees scheduled to work less than 40 hours per week, annual salary will be prorated based on the number of hours worked. APL may offer bonuses or other forms of compensation per internal policy and/or contractual designation. Additional compensation may be provided in the form of a sign-on bonus, relocation benefits, locality allowance or discretionary payments for exceptional performance. APL provides eligible staff with a comprehensive benefits package including retirement plans, paid time off, medical, dental, vision, life insurance, short-term disability, long-term disability, flexible spending accounts, education assistance, and training and development. Applications are accepted on a rolling basis.
Minimum Rate
$105,000 Annually
Maximum Rate
$245,000 Annually

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