2027 Internship - Immersive Training/Modeling and Analysis

Description Do you want to contribute to work that helps ensure the operational readiness of major U.S. weapon systems? Are you interested in physics-based simulation, missile system analysis, and data visualization? Or are you curious how sophisticated software is developed taking into account runtime constraints, networking, data flow, user input, and simulation control? If so, and you're pursuing a Bachelor's or Master's degree in Engineering Physics, Computer Science, Software Engineering, or a related field, apply to the Immersive Training and Software Solutions Group (KBD)! Join a collaborative team of experts dedicated to connecting systems, people, and decisions through advanced integration and digital engineering. We blend scientific disciplines with creative problem-solving in order to design and deploy high-fidelity training systems and analytical tools that support the Navy, Air Force, and Special Operations. As a member of our team, you will... Design, develop, and evaluate innovative solutions to critical national challenges. Be mentored by experts in software, modeling and simulation, AI/ML, and new technologies. Contribute meaningfully to mission-focused problem spaces involving immersive training, user interfaces, physics-based simulation, and high-performance data analysis. Qualifications You meet our minimum qualifications for the job if you... Are working on a Bachelor’s or Master’s degree in Engineering Physics, Computer Science, Software Engineering, or a related technical field. Have a minimum 3.0 GPA on a 4.0 scale. Are able to obtain an Interim Secret clearance by your start date and ultimately obtain a Secret level security 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 Academic experience with C#, Matlab, Python, or Java. Strong problem solving, analytical, and organizational skills. Software Role requires: Experience in web development (HTML/CSS, javascript) or GUI design Analysis Role requires: Demonstrated contributions on a technical team based project You’ll go above and beyond our minimum requirements if you have… Past internship at a UARC, FFRDC, industry, or formal research position. Excellent written and verbal communication skills. Experience with analysis and visualization of large data sets. Experience with using a Game Engine such as Unity or Unreal. Proficiency in Java, Python, MATLAB, or Simulink. Working knowledge of 6DoF/3DoF models. About Us Why Work at APL? The Johns Hopkins University Applied Physics Laboratory (APL) brings world-class expertise to our nation’s most critical defense, security, space and science challenges. While we are dedicated to solving complex challenges and pioneering new technologies, what makes us truly outstanding is our culture. We offer a vibrant, welcoming atmosphere where you can bring your authentic self to work, continue to grow, and build strong connections with inspiring teammates. At APL, we celebrate our differences of perspectives and encourage creativity and bold, new ideas. Our employees enjoy generous benefits, including a robust education assistance program, unparalleled retirement contributions, and a healthy work/life balance. APL’s campus is located in the Baltimore-Washington metro area. Learn more about our career opportunities at All qualified applicants will receive consideration for employment without regard to race, creed, color, religion, sex, gender identity or expression, sexual orientation, national origin, age, physical or mental disability, genetic information, veteran status, occupation, marital or familial status, political opinion, personal appearance, or any other characteristic protected by applicable law. APL is committed to providing reasonable accommodation to individuals of all abilities, including those with disabilities. If you require a reasonable accommodation to participate in any part of the hiring process, please contact View email address on click.appcast.io. The referenced pay range is based on JHU APL’s good faith belief at the time of posting. Actual compensation may vary based on factors such as geographic location, work experience, market conditions, education/training and skill level with consideration for internal parity. For salaried employees scheduled to work less than 40 hours per week, annual salary will be prorated based on the number of hours worked. APL may offer bonuses or other forms of compensation per internal policy and/or contractual designation. Additional compensation may be provided in the form of a sign-on bonus, relocation benefits, locality allowance or discretionary payments for exceptional performance. APL provides eligible staff with a comprehensive benefits package including retirement plans, paid time off, medical, dental, vision, life insurance, short-term disability, long-term disability, flexible spending accounts, education assistance, and training and development. Applications are accepted on a rolling basis. Minimum Rate $22.60 Hourly Maximum Rate $47.95 Hourly #J-18808-Ljbffr Johns Hopkins Applied Physics Lab