Computer Vision/Robotics Intern — Denver

In a world of possibilities, pursue one with endless opportunities. Imagine Next!   At Parsons, you can imagine a career where you thrive, work with exceptional people, and be yourself. Guided by our leadership vision of valuing people, embracing agility, and fostering growth, we cultivate an innovative culture that empowers you to achieve your full potential. Unleash your talent and redefine what’s possible.   Job Description: Parsons is now accepting applications for our Summer 2027 Computer Vision / Robotics Internship, supporting development of a new AI-enabled infrastructure inspection capability using drone data, 360° video, localization, and voice to transform how bridge and vertical structure inspections are captured and reported.   This internship offers an exciting opportunity to apply robotics and computer vision to real-world infrastructure, working side-by-side with an experienced mentor and a software intern. You will help integrate 360° cameras and SLAM/localization tools, map inspector motion on a simple bridge model, and prototype basic defect detection and visualization workflows.   What You'll Be Doing: • Ingest and process 360° video, working with an off-the-shelf SLAM/localization SDK to estimate inspector position over time. • Develop scripts and tools to map timestamps and poses to 3D locations on a simple bridge or structure model. • Prototype basic computer vision routines (e.g., region-of-interest extraction, simple crack/rust/spall detection using existing models or APIs). • Visualize inspector paths and defect points in 2D/3D for internal review and demos. • Collaborate with a software intern and mentor to define interfaces between perception/localization outputs and the inspection data/reporting pipeline.   What Qualifications You'll Bring: • Must be enrolled in a Bachelor’s or Master’s program in  Robotics, Computer Science, Electrical/Computer Engineering, or related field  at an accredited college or university. • Strong programming skills in  Python  (and/or C++), with experience using libraries such as  NumPy  and  OpenCV . • Familiarity with  SLAM, visual odometry, or robotics localization  through coursework or projects. • Comfort working with real-world sensor data (video, trajectories, etc.) and debugging noisy inputs. • Strong analytical, organizational, and communication skills. • A GPA of  3.0 or higher  is desirable. • Prior project or internship experience in robotics, computer vision, or perception is preferred but not required. Security Clearance Requirement: None This position is part of our Critical Infrastructure team. For more than 80 years, our experts have designed and delivered the critical infrastructure that connects and protects communities around the world. We work in collaborative teams, both within the company and with our partners and customers, to plan, design, build, and modernize infrastructure. We take special pride in projects and solutions that improve communities as well as people’s quality of life by promoting economic growth, enhancing mobility, and increasing sustainability and resiliency. Powered by our people, we provide the imagination necessary to support our customers’ visions—and to help them see what's next! Salary Range: $22.93 - $40.14 We value our employees and want our employees to take care of their overall wellbeing, which is why we offer best-in-class benefits such as 401K! This position will be posted for a minimum of 3 days and will continue to be posted for an average of 30 days until a qualified applicant is selected or the position has been cancelled. Parsons is an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, veteran status or any other protected status. We truly invest and care about our employee’s wellbeing and provide endless growth opportunities as the sky is the limit, so aim for the stars! Imagine next and join the Parsons quest—APPLY TODAY! Parsons is aware of fraudulent recruitment practices. To learn more about recruitment fraud and how to report it, please refer to   https://www.parsons.com/fraudulent-recruitment/ .