Maritime Autonomy Software Internship (Python/C++)

Johns Hopkins University Applied Physics Laboratory LLC; Laurel (MD); On-site; USD 31,000 - 66,000; Part time

Job summary

Johns Hopkins University Applied Physics Laboratory LLC in Laurel, MD invites student interns to contribute to software development, data science, and ML for maritime autonomy. You will work on Python/C++/Java projects within a collaborative, mentorship-focused team.

The role emphasizes hands-on coding, testing, and participation in end-to-end software engineering within cloud-enabled simulations, with opportunities to work on Navy-relevant algorithms and systems.

Qualifications

• Pursuing undergraduate or graduate studies in Computer Science or Computer Engineering.
• Coursework or project experience applying software design principles in Python, C++, or Java.
• Must have a minimum 3.0 GPA (on a 4.0 scale) and include transcripts if prompted.
• Active involvement in technical projects outside of coursework.
• Must be able to obtain Interim Secret security clearance by start date and ultimately a Secret clearance; U.S. citizenship required.

Responsibilities

• Develop and test modern applications and algorithms for maritime autonomy data analysis, simulations, and decision-making.
• Engage in end-to-end software engineering within a cloud-enabled simulation framework.
• Collaborate with engineers to build and refine simulation environments used to assess Navy algorithms.
• Participate in software design reviews, code reviews, and test strategy planning.

Skills

Python

C++

Java

Education

Undergraduate or graduate studies in Computer Science or Computer Engineering

Tools

Docker

Kubernetes

CI/CD

DDS

ZeroMQ

Job description

Johns Hopkins University Applied Physics Laboratory LLC in Laurel, MD invites student interns to contribute to software development, data science, and ML for maritime autonomy. You will work on Python/C++/Java projects within a collaborative, mentorship-focused team.

The role emphasizes hands-on coding, testing, and participation in end-to-end software engineering within cloud-enabled simulations, with opportunities to work on Navy-relevant algorithms and systems.