- Designing, coding and testing software in both unclassified and classified environments, as well as, learning how to cyber-harden the software that you develop
- Conducting critical engineering activities that will drive the development of multi-mission and multi-service planning capabilities.
- Helping develop multi-mission (Ballistic Missile Defense, Air Warfare, Hypersonic Defense and Surface Warfare, etc.) planning tool software that includes Artificial Intelligence (AI) which will enable military warfighters in the field to configure and optimize their military systems to maximize performance against our country's adversaries.
- Learning about critical modeling & simulation tools that predict performance of U.S. military systems and applying those tools to conduct detailed engineering studies that ascertain capabilities/limitations of current systems, support future designs, lay out a strategic plan to achieve true multi-mission multi-service planning capabilities, and provide timely feedback to warfighters in the field facing real world operational challenges.
- Learning about enemy capabilities and limitations as fundamentally provided by the pertinent intelligence community.
- Possess a degree in Systems Engineering, Aerospace Engineering, Astronautical Engineering, Electrical Engineering, Computer Engineering, Software Engineering, Mechanical Engineering, Computer Science, Physics, or Mathematics
- Have experience in designing/coding/testing with industry-standard general-purpose programming languages of C/C++, Python, Typescript/Javascript and/or Java.
- Have experience in the use of Matlab, Python, or equivalent for designing and analyzing systems.
- Are willing to meet and interact with military warfighters to discover what those warfighters actually want at their fingertips when deployed in the field all over the globe.
- Are able to obtain an Interim Secretlevel 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
- Have 2 or more years of experience in the use of MatLab programming platform for analyzing and designing systems.
- Have 2 or more years of experience in the use of the Python general purpose programming language to conduct engineering analysis and design.
- Have a strong interest in Artificial Intelligence (AI) and/or modeling & simulation and/or Augmented Reality (AR) and/or Virtual Reality (VR)
- Have academic experience leading team projects.
- Have experience as a summer intern in which your academic coursework was applied to successfully fulfill that internship.
- Already possess a Final Secret security clearance.
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2024 Graduate - Laurel, United States - The Johns Hopkins University Applied Physics Laboratory
Description
Do you want to help U.S. military personnel successfully carry out their critical defense missions around the globe?
Are you passionate about applying your academic degree to tackle challenging engineering problems facing our U.S. military when carrying out those critical missions?
Would you like to contribute to the design and analysis of military Mission Planning tools utilized by U.S. warfighters in the Armed Services?
If you are graduating with a degree in Systems Engineering, Aerospace Engineering, Astronautical Engineering, Electrical Engineering, Computer Engineering, Software Engineering, Mechanical Engineering, Computer Science, Physics, or Mathematics AND want to work in a diverse team oriented environment, then we'd love to have you join our team
We are seeking an enthusiastic team player willing to take on challenging assignments and willing to learn about the complexity of placing and configuring military systems. As a member of our team you'll develop, prototype and transition military mission planning tools. These tools maximize the warfighters' ability to configure/optimize military systems in the field encompassing multiple simultaneous missions for multiple services across multiple command echelon planning levels.
As a member of our team your duties and tasks could include:
You meet our minimum qualifications for the job if you...
You'll go above and beyond our minimum requirements if you...
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 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
About UsAPL is an Equal Opportunity/Affirmative Action employer. 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 promoting an innovative environment that embraces diversity, encourages creativity, and supports inclusion of new ideas. In doing so, we are 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 Only by ensuring that everyone's voice is heard are we empowered to be bold, do great things, and make the world a better place.
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