AI/ML & Imaging Intern — Onsite Summer 8 Weeks

Position Overview QinetiQ US is seeking a motivated undergraduate student currently pursuing a bachelor’s degree in Computer Science, Computer Engineering, Electrical Engineering, Physics, or a closely related STEM discipline to join ourSignal & Image Processingteam for a summer internship at Fort Belvoir, Virginia. This is a hands-on, onsite internship with no remote work option. The selected intern must be available to work a minimum of 8 consecutive weeks during the summer. The intern will gain real-world experience supporting the design, development, testing, and evaluation of advancedAI/ML algorithms and Hardware integration of UAV UGV for Aided Target Recognition (AiTR applications.This is an excellent opportunity for students looking to apply classroom knowledge to cutting-edge defense technology programs in a collaborative, multidisciplinary engineering environment Responsibilities Assist senior engineers and scientists in the research, development, and prototyping of advanced optical materials, components, assemblies, and subassemblies for imaging and non-imaging systems Support hands-on laboratory activities including assembly, alignment, calibration, and testing ofUAV/UGV platforms Assist with technology trade studies, optical design and performance modeling, and fabrication tolerance analysis under the guidance of experienced staff Support the research and development ofAiTR algorithms and AI/ML software pipelines Assist in building prototypes and assessingAiTR systemsin a laboratory environment Support laboratory testing, characterization, and field testing of advanced EO/IR camera sensors operating in Ultraviolet, Visible, NIR, SWIR, MWIR, and LWIR wavebands, including multi-band camera sensors Support documentation efforts, including contributing to Scientific and Technical Reports and test data collection Participate in design reviews and team meetings, gaining exposure to the full engineering lifecycle from concept through prototype Perform other duties as assigned in support of theAiTR Algorithmmission areas Required Qualifications Currently enrolled in and actively pursuing a Bachelor's degree in Optical Engineering, Electrical Engineering, Computer Science, Physics, Materials Science, or a closely related STEM discipline (sophomore, junior, or senior standing preferred) Coursework in optics, physics, electro-magnetics, or related subjects Strong interest inAI/ML, robotics,photonics, imaging systems, and/or electro-optical technologies Ability to work onsite at Fort Belvoir, Virginia for a minimum of 8 consecutive weeks during the summer Strong written and verbal communication skills Ability to work collaboratively in a multidisciplinary team environment Attention to detail and willingness to learn in a hands-on laboratory setting Must be a U.S. Citizen and able to obtain a DoD Secret clearance (or have an active clearance) Preferred Qualifications Completed coursework or lab experience inAI/ML algorithms Familiarity withMLOPs pipelines Familiarity with Python, MATLAB, or similar data acquisition and analysis tools Hands-on experience in a laboratory, machine shop, or maker space environment Interest in or exposure to infrared imaging, electro-optical systems,robotics, or defense applications Prior internship or co-op experience in an engineering or scientific environment Company EEO Statement Accessibility/Accommodation: If because of a medical condition or disability you need a reasonable accommodation for any part of the employment process, please send an e-mail to View email address on click.appcast.io or call View phone number on click.appcast.io Opt. 1 and let us know the nature of your request and contact information. QinetiQ US is an Equal Opportunity employer. All Qualified Applicants will receive equal consideration for employment without regard to race, age, color, religion, creed, sex, sexual orientation, gender identity, national origin, disability, or protected Veteran status. #J-18808-Ljbffr QinetiQ US