Data ScienceAIML Engineering Summer Intern

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 USs 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 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 bachelors 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 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 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

• Currently enrolled in and actively pursuing a Bachelors 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 roboticsphotonics 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 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 systemsrobotics 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 or call 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.