The Johns Hopkins University Applied Physics Laboratory (APL) is looking for an intern to develop advanced software solutions for the U.S. Navy in the field of maritime autonomy, addressing challenges in simulation, data analysis, and decision-making.
Requirements
- Have coursework or project experience applying software design principles in C++, Python, or Java.
- Participating in Agile development with automated testing, CI/CD, and DevSecOps practices.
- Working with middleware, containerization, or orchestration tools (e.g., DDS, ZeroMQ, Docker, Kubernetes).
- Applying data science methods to analyze complex datasets.
- Developing or working with complex simulations.
- Creating or applying modern machine learning algorithms.
- Developing algorithms for perception, decision-making, or control of autonomous systems.
Responsibilities
- Develop and test modern applications and algorithms, including tools for simulation, data analysis, and decision-making, that enable next-generation maritime autonomy.
- Engage in end-to-end software engineering processes within a cloud-enabled simulation framework.
- Collaborate with engineers to build and refine simulation environments used to assess and validate the Navy’s latest algorithms and systems for autonomy.
- Work with multidisciplinary teams and actively participate in software design evaluations, code reviews, and test strategy planning.
Other
- Are studying Computer Science, Computer Engineering, or a related field at the undergraduate or graduate level.
- Have a minimum 3.0 GPA (on a 4.0 scale).
- Have pursued technical projects and extracurricular activities outside of the classroom.
- Are able to obtain an Interim Secret security clearance by your start date and can ultimately obtain a Secret level clearance.
- Eligibility requirements include U.S. citizenship.
