2026 Graduate - Engineer/Analyst - Intelligence, Surveillance, Reconnaissance, & Targeting Scientific Applications

Johns Hopkins Applied Physics Laboratory•Laurel, MD

13d•Onsite

About The Position

Are you interested in researching, developing, and analyzing innovative ways to produce impactful information from many different types of sensors and sources of data? Would you like to advance your ideas from concept to prototype to field testing on US military ships, aircraft, satellites, and ground systems? Would you take satisfaction in developing advanced capabilities that will be used by US military personnel to achieve their missions in Intelligence, Surveillance, Reconnaissance, and Targeting (ISRT)? If so, and if you are graduating with a Bachelor's or Master's degree in Engineering, Applied Mathematics, Computer Science, Physics, or other related field, we'd love to have you join our team at APL! We are seeking creative engineers, scientists, mathematicians, and programmers to help us conceptualize, develop, test, assess, and field the next generation of ISRT and Counter-ISRT capabilities for the US military. Our team applies disciplines such as sensor and data fusion, signal and image processing, operations research, applied physics, machine learning, and artificial intelligence to build systems that automatically or autonomously orchestrate sensors, process data into information, and make intelligent inferences and predictions about complex threats and environments. Our work enables the US military to neutralize a wider variety of serious threats from safer distances than they could otherwise accomplish; improves the safety, survivability, and effectiveness of US air, naval, and ground forces; and disrupts the ability of potential adversaries to threaten our forces.

Requirements

Have a Bachelor’s degree in Engineering, Applied Mathematics, Computer Science, Physics, or other related field.
Have skills and experience developing scientific and engineering applications in programming languages such as MATLAB, Python, C++, and Java and in Linux environments.
Have strong interpersonal and written communications skills.
Have the ability to work and collaborate effectively in a team environment.
Have the ability to multi-task, support multiple, concurrent projects, and adapt to changing circumstances.
Are willing and able to work a portion of the time in secure, closed areas and travel occasionally to government sites and contractor facilities (local and non-local).
Are able to ultimately obtain a Top Secret SCI level 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.

Nice To Haves

Have a Master’s degree in Engineering, Applied Mathematics, Computer Science, Physics, or other related field.
Have at least one year of work experience, or significant internship experience, in a relevant technical field.
Have skills and experience implementing complex mathematical techniques (such as neural networks and other machine learning approaches) in software applications.
Have skills and experience developing software from conceptualization to fully functional applications.
Have skills and experience with signal and image processing, data fusion, statistical analysis, mathematical optimization, pattern recognition, machine learning, and artificial intelligence techniques.
Have domain knowledge in ISR processes, systems, platforms, and sensors used by the US military and intelligence community.
Hold an active Secret, Top Secret, or TS/SCI-level security clearance.

Responsibilities

Contribute to teams developing algorithms, mathematical-physical models, software prototypes, and deployable software applications for ISRT applications.
Develop new signal processing, image processing, multi-sensor data fusion, and multi-sensor resource optimization techniques.
Develop new modeling, simulation, and analytical methods and tools.
Develop and analyze new ISRT concepts and architectures.
Plan, execute and conduct data analysis for field tests and experiments.
Collaborate with teams to develop user interfaces, visualizations, and network/web services.
Present your results to project leads, sponsors, and technical workshops and conferences.