2027 Internship - Engineering for Communications Systems

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

Job summary

Johns Hopkins Applied Physics Laboratory (APL) is seeking Engineering Interns in Laurel, MD to work across software, networking, and data analytics for national security missions. You will learn from engineers and scientists while contributing to mission planning, analysis, and demonstrations.

The program covers three focus areas with mentorship, teamwork, and hands‑on opportunities using Python, MATLAB, GNU Radio, and RF concepts. Strong communication and clearance readiness are valued.

Qualifications

• Pursuing a Bachelor's or Master's degree in a technical field (CS, EE, math, physics, etc.).
• GPA minimum of 3.0 on a 4.0 scale.
• Experience via coursework, research, projects, or internships in programming, data analysis, networking, or AI/ML.

Responsibilities

• Contribute to engineering projects supporting next‑generation C3 technologies.
• Develop software, scripts, or analytical tools for mission needs.
• Assist with modeling, simulation, and data analysis of complex systems.

Skills

Programming languages

Git & Agile

Communication

Security clearance readiness

Education

Bachelor's or Master's degree

Tools

MATLAB/Simulink

Python

GNU Radio

SDRs

Job description

Are you interested in solving complex engineering problems and contributing to technologies that support critical national security missions?

As part of the Assured Command, Control, and Communications (C3) Solutions Group (QKR), you will work alongside experienced engineers, scientists, and analysts developing technologies that improve the resilience, security, and performance of next-generation command and communications systems. Our work spans software engineering, communications, networking, modeling & simulation, artificial intelligence, cyber resiliency, and data analytics. Whether your interests lie in developing software, analyzing complex systems, designing communications solutions, or applying mathematics and data science to real-world challenges, you'll have the opportunity to contribute to meaningful projects while learning from technical experts.

If you are currently pursuing a degree in Computer Science, Computer Engineering, Software Engineering, Data Science, Electrical Engineering, Radio Frequency Engineering, Mathematics, Statistics, Physics, or other related technical degrees, we would love to have you join our team!

We are seeking Engineering Interns across three focus areas and will match you based on your interests and skills. Collaboration across tracks is common.

Our Focus Areas

• Software & Intelligent Systems
  • Developing applications and services using Python, Java, C3, or JavaScript/TypeScript
  • Building tools that support mission planning, data analysis, and operational decision-making
  • Applying AI, automation, or data analytics to solve engineering problems
  • Collaborating using modern software engineering practices including Git and Agile development
• Communication & Networked Systems
  • Prototype and evaluate waveforms; perform RF characterization of components and subsystems.
  • Work with MATLAB/Simulink, Python, GNU Radio, and software-defined radios (SDRs)
  • Use RF lab instrumentation (spectrum/network analyzers, signal generators); support hardware-in-the-loop tests
• Modeling, Simulation & Analysis
  • Model communications systems (link budgets, channel models, Monte Carlo simulations)
  • Performing statistical analysis and simulation using Python and/or MATLAB
  • Developing visualizations and analytical products from engineering data
  • Supporting mission engineering and system performance evaluations

As a member of our team, you may…

• Contribute to engineering projects supporting next-generation C3 technologies
• Develop software, scripts, or analytical tools that solve real engineering problems
• Assist with modeling, simulation, and data analysis of complex systems
• Support laboratory testing, experimentation, and technology demonstrations
• Analyze engineering data and communicate technical findings
• Learn modern engineering practices including Agile development, version control, and peer reviews
• Be paired with an experienced technical mentor throughout your internship
• Present your work to technical staff and project leadership at the conclusion of your internship

Qualifications

You meet our minimum qualifications for the job if you...

• Currently pursuing a Bachelor's or Master's degree in Computer Science, Software Engineering, Data Science, Electrical Engineering, Mechanical Engineering, Radio Frequency Engineering, Math, Statistics, Physics, or other related technical area
• Have a minimum 3.0 GPA on a 4.0 scale.
• Have experience through coursework, research, personal projects, competitions, or previous internships in one or more of the following areas:
  • Programming in Python, Java, C/C++, C#, JavaScript, MATLAB, or a similar language
  • Software development fundamentals, including debugging, testing, or version control
  • Data analysis, statistics, numerical methods, or scientific computing
  • Communications, networking, signal processing, or embedded systems
  • Modeling, simulation, optimization, or algorithm development
  • Artificial intelligence, machine learning, or data science concepts
• Can work effectively both independently and in teams and possess strong interpersonal, oral, and written communication skills.
• Are able to obtain Interim Secret level security clearance by your start date and can ultimately obtain Top 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.

You’ll stand out if you have experience with…

• Software Engineering
  • Experience with Git and collaborative software development, Linux development environments, Docker or containerized applications, and web application or API development
• Communications & Networking
  • Experience with TCP/IP networking concepts, wireless communications or RF fundamentals, software-defined radios (SDRs), GNU Radio, and digital signal processing
• Modeling & Data Science
  • Experience with Python scientific libraries, MATLAB/Simulink, statistical analysis, or data visualization
• Engineering Practices
  • Experience with Agile software development, systems engineering or MBSE, undergraduate research, engineering design competitions, and open-source software contributions

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 https://www.jhuapl.edu/careers.

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 [e-mail].

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