2026 Internship - Missile Defense Engineer/Scientist - Cross Domain Battle Management

Johns Hopkins Applied Physics Laboratory•Laurel, MD

35d•$23 - $48

About The Position

Are you interested in exciting opportunities solving the most important challenges defending the United States, our forces, and our allies from air and missile threats? If so, we’d love to have you join our team! The Cross-Domain Battle Management Group is seeking innovative and hard-working current undergraduates and graduate students for summer internships. Join us to work in an exciting and collaborative environment where we tackle challenging technical national security problems. Our group specializes in bridging the missile defense and space domains, with the objective of building capabilities across the services to increase and maintain the Nation’s superiority in missile defense. Internship opportunities on our team might involve...

Requirements

Are pursuing a Bachelor’s, Master’s, or Doctoral degree in Electrical Engineering, Computer Science, Physics, Mathematics, Data Science, Statistics, or similar degrees with a minimum 3.0 GPA on a 4.0 scale
Have a working knowledge of and development in MATLAB, Python, Java, C, and/or C++
Have a desire to apply engineering skills to complex problems
Have good written and verbal communication skills
Are able to obtain an Interim Secret level security clearance by your start date and can ultimately obtain Secret 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 working knowledge of configuration management tools
Have experiential practice modeling and/or analyzing complex system behaviors

Responsibilities

Assisting staff in research and development activities that identify and fill gaps in the U.S. Missile Defense systems
Performing analysis of data from sensor and missile test events
Evaluating and assessing algorithms developed by group staff
Helping to develop and evaluate sophisticated Artificial Intelligence/Machine Learning approaches for solving complex problems
Using advanced programming languages to develop and test technical solutions
Contributing to a group that values participation in collaborative teams and activities