INTERNSHIP DETAILS

RF Cyber Lab Intern

CompanySoftware Engineering Institute | Carnegie Mellon University
LocationPittsburgh
Work ModeOn Site
PostedMay 12, 2026
Internship Information
Core Responsibilities
Develop and refine novel detection and classification techniques for RF signals across various architectures. Collect and prepare sample RF data and develop additional signal processing algorithms.
Internship Type
full time
Company Size
1038
Visa Sponsorship
No
Language
English
Working Hours
40 hours
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About The Company
We conduct cutting-edge research and development that accelerates the transition of technology to the Department of War (DoW), delivering measurable impact in support of the national security mission. We have been working with the DoW, government agencies, and private industry since 1984 to help meet mission goals and gain strategic advantage.
About the Role

What We Do: The SEI helps advance software engineering principles and practices and serves as a national resource in software engineering, computer security, and process improvement. The SEI works closely with defense and government organizations, industry, and academia to continually improve software-intensive systems. Our core purpose is to help organizations improve software engineering capabilities and develop or acquire the right software, defect free, within budget and on time, every time.  The core purpose here isn’t helping someone achieve software process nirvana though – we want highly resilient RF communications in contested environments.

Position Summary: We seek an intern with knowledge of temporal neural network design as well as the fundamentals of digital signal processing to help develop and refine novel detection and classification techniques of RF signals across various architectures.

Requirements:

  • Enrolled in a masters or other post-graduate program

  • Have a bachelors in electrical or computer engineering

  • Previously taken or enrolled in CMU 18-743 or equivalent

  • Engagement with CMU-NCA Lab

  • Ability to work in a lab as needed on the CMU Pittsburgh campus

  • You will be subject to a background check and must be eligible to work in the United States without Visa sponsorship.

Knowledge, Skills and Abilities:

  • Signal processing fundamentals

  • Artificial neural networks design and implementation

  • Spiking temporal neural network implementation

  • Strong programming ability and analytical skills

Job Function Breakdown:

70% Development and analysis of RF signal detection and classification
20% Collection, preparation, collation of sample RF data for processing
10% Development of other signal processing algorithms and systems
TOTAL = 100%

Position in office 5 days a week.

Location

Pittsburgh, PA

Job Function

Non-CMU Students

Position Type

Intern (Fixed Term)

Full time/Part time

Full time

Pay Basis

Hourly

More Information: 

  • Please visit “Why Carnegie Mellon” to learn more about becoming part of an institution inspiring innovations that change the world. 

  • Click here to view a listing of employee benefits

  • Carnegie Mellon University is an Equal Opportunity Employer/Disability/Veteran. 

  • Statement of Assurance

Key Skills
Signal ProcessingArtificial Neural NetworksSpiking Temporal Neural NetworksRF Signal DetectionRF Signal ClassificationProgrammingAnalytical SkillsDigital Signal Processing
Categories
EngineeringTechnologyScience & ResearchSoftwareGovernment & Public Sector