Tactical Systems Prototyping Software Intern

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

Job summary

The Johns Hopkins University Applied Physics Laboratory (APL) is seeking an intern to join the Tactical System Prototyping and Deployment group to build software for warfighter capabilities, leveraging multiple sensors and data sources. You will work on GUI, signal processing, data visualization and real-time computing, collaborating with a team that values hands-on experimentation and rapid iteration.

Applicants pursuing Bachelor's or Master's degrees in related fields with a minimum 3.0 GPA

Qualifications

• Pursuing a Bachelor's or Master's degree in Computer Science, Computer Engineering, Mathematics, or Electrical Engineering with a minimum 3.0 GPA.
• Completed coursework in software development topics such as OOP, data structures, signal processing, data visualization, or user interfaces.
• Eligibility to obtain Interim Secret clearance by start date and ultimately Secret clearance; U.S. citizenship required.

Responsibilities

• Implement software for proof-of-concept prototypes incorporating GUI, signal/video processing, pattern recognition, real-time computing, applied mathematics, network/web services, and visualization.
• Contribute to solving critical military operational shortfalls as part of an established, field-tested team.
• Possibly support prototype evaluation and experiments at military facilities depending on interest and deployment schedules.

Skills

C++

Java

Typescript

Object oriented programming

Data visualization

Education

Bachelor's or Master's in CS/CE/Math/EE

Tools

Linux/Unix

Job description

The Johns Hopkins University Applied Physics Laboratory (APL) is seeking an intern to join the Tactical System Prototyping and Deployment group to build software for warfighter capabilities, leveraging multiple sensors and data sources. You will work on GUI, signal processing, data visualization and real-time computing, collaborating with a team that values hands-on experimentation and rapid iteration.

Applicants pursuing Bachelor's or Master's degrees in related fields with a minimum 3.0 GPA