Intern Deloitte Computer Science Jobs in Virginia

We are a world-class team of professionals who deliver next generation technology and products in robotic and autonomous platforms, ground, soldier, and maritime systems in 50+ locations world-wide. Much of our work contributes to innovative research in the fields of sensor science, signal processing, data fusion, artificial intelligence (AI), machine learning (ML), and augmented reality (AR).

QinetiQ US’s dedicated experts in defense, aerospace, security, and related fields all work together to explore new ways of protecting the American Warfighter, Security Forces, and Allies. Being a part of QinetiQ US means being central to the safety and security of the world around us. Partnering with our customers, we help save lives; reduce risks to society; and maintain the global infrastructure on which we all depend.

Why Join QinetiQ US?

If you have the courage to take on a wide variety of complex challenges, then you will experience a unique working environment where innovative teams blend different perspectives, disciplines, and technologies to discover new ways of solving complex problems.  In our diverse and inclusive environment, you can be authentic, feel valued, be respected, and realize your full potential. QinetiQ US will support you with workplace flexibility, a commitment to the health and well-being of you and your family and provide opportunities to work with a purpose. We are committed to supporting your success in both your professional and personal lives.

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 our Signal & Image Processing team 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 advanced AI/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

• 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 of UAV/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 of AiTR algorithms and AI/ML software pipelines
• Assist in building prototypes and assessing AiTR systems in 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 the AiTR Algorithm mission areas

• 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 in AI/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)

• Completed coursework or lab experience in AI/ML algorithms
• Familiarity with MLOPs 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

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 staffing@us.QinetiQ.com or call (540) 658-2720 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.