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  1. Home
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  5. RF Cyber Lab Intern
Software Engineering Institute | Carnegie Mellon University logo

RF Cyber Lab Intern

Not Disclosed•InternOn-site

location_onLogan Street, Downtown, Pittsburgh, Allegheny County, Pennsylvania, 15262, United States

Apply Now

About the Team

The Software Engineering Institute (SEI) serves as a national resource in software engineering, computer security, and process improvement. We work closely with defense and government organizations, industry, and academia to continually improve software-intensive systems. While our core purpose is generally to help organizations develop defect-free software within budget and on time, this specific team focuses on a critical mission: ensuring highly resilient RF communications in contested environments.

About the Role

We are seeking an intern with knowledge of temporal neural network design and the fundamentals of digital signal processing to help develop and refine novel detection and classification techniques for RF signals across various architectures. This role is designed for those engaged with the CMU-NCA Lab who are ready to apply their skills in a hands-on setting.

The position is based in the lab on the CMU Pittsburgh campus, requiring a 5-day-per-week in-office schedule. Your time will be split primarily between the development and analysis of RF signal detection and classification (70%), the collection and preparation of sample RF data (20%), and the development of other signal processing algorithms and systems (10%).

Joining the CMU Team

At Carnegie Mellon, we value the whole package when extending offers of employment. Beyond credentials, we evaluate your valuable work experience and the knowledge gained through education and training. We appreciate your unique skills and the perspective you bring. Your journey with us is about more than just a job; it's about finding the perfect fit for your professional growth and personal aspirations.

Equal Opportunity

Carnegie Mellon University is an Equal Opportunity Employer/Disability/Veteran. We consider qualified applicants regardless of background.

Work location

Work model: On-site

location_on

Logan Street, Downtown, Pittsburgh, Allegheny County, Pennsylvania, 15262, United States

Pittsburgh, Pennsylvania

Key Responsibilities

  • check_circleDevelop and refine novel detection and classification techniques for RF signals
  • check_circleDesign and implement spiking temporal neural networks for signal processing
  • check_circleDevelop additional signal processing algorithms and systems as needed
  • check_circleAnalyze RF signal data to improve detection and classification accuracy
  • check_circleCollect, prepare, and collate sample RF data for processing and analysis

Requirements

  • verifiedEnrolled in a masters or other post-graduate program
  • verifiedBachelor's in electrical or computer engineering
  • verifiedPreviously taken or enrolled in CMU 18-743 or equivalent
  • verifiedEligible to work in the United States without Visa sponsorship
  • verifiedBackground check required

Benefits & Perks

check_circleComprehensive medical, prescription, dental, and vision insurancecheck_circleGenerous retirement savings program with employer contributionscheck_circleTuition benefitscheck_circleAmple paid time off and observed holidaysLife and accidental death and disability insurance
Software Engineering Institute | Carnegie Mellon University logo
Company

Software Engineering Institute | Carnegie Mellon University

Industry

it

View company profilearrow_forwardlanguageWebsite
Quick Overview

Experience

Intern

Education

Enrolled in a master's or other post-graduate program

Job Type

Intern

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Skills, education and keywords

Skills: Temporal Neural Network Design, Digital Signal Processing, RF Signal Detection, RF Signal Classification, Signal Processing Fundamentals, Artificial Neural Networks Design, Artificial Neural Networks Implementation, Spiking Temporal Neural Network Implementation, Programming, Signal Processing Algorithms.

Education: Enrolled in a master's or other post-graduate program; Bachelor's in electrical or computer engineering.

Frequently asked questions about RF Cyber Lab Intern at Software Engineering Institute | Carnegie Mellon University

What does a RF Cyber Lab Intern at Software Engineering Institute | Carnegie Mellon University do?expand_more
In this RF Cyber Lab Intern at Software Engineering Institute | Carnegie Mellon University role, you will develop and refine novel detection and classification techniques for rf signals; design and implement spiking temporal neural networks for signal processing; develop additional signal processing algorithms and systems as needed; and analyze rf signal data to improve detection and classification accuracy.
What are the requirements for this RF Cyber Lab Intern role?expand_more
Software Engineering Institute | Carnegie Mellon University is looking for candidates who meet the following requirements: Enrolled in a masters or other post-graduate program; Bachelor's in electrical or computer engineering; Previously taken or enrolled in CMU 18-743 or equivalent; Eligible to work in the United States without Visa sponsorship; and Background check required.
Where is the RF Cyber Lab Intern role at Software Engineering Institute | Carnegie Mellon University located?expand_more
RF Cyber Lab Intern at Software Engineering Institute | Carnegie Mellon University is based in Logan Street, Downtown, Pittsburgh, Allegheny County, Pennsylvania, 15262, United States. This is a on-site role.
Is this RF Cyber Lab Intern job remote, hybrid, or on-site?expand_more
Software Engineering Institute | Carnegie Mellon University has listed this RF Cyber Lab Intern role as on-site.
How much experience is required for this RF Cyber Lab Intern role?expand_more
Candidates for RF Cyber Lab Intern at Software Engineering Institute | Carnegie Mellon University should have intern.
What skills do you need for the RF Cyber Lab Intern role at Software Engineering Institute | Carnegie Mellon University?expand_more
Key skills for RF Cyber Lab Intern at Software Engineering Institute | Carnegie Mellon University include Temporal Neural Network Design; Digital Signal Processing; RF Signal Detection; RF Signal Classification; Signal Processing Fundamentals; Artificial Neural Networks Design; Artificial Neural Networks Implementation; and Spiking Temporal Neural Network Implementation.
What education is required for RF Cyber Lab Intern at Software Engineering Institute | Carnegie Mellon University?expand_more
Educational requirements for this role: Enrolled in a master's or other post-graduate program; and Bachelor's in electrical or computer engineering.
What category does the RF Cyber Lab Intern role belong to?expand_more
RF Cyber Lab Intern at Software Engineering Institute | Carnegie Mellon University is part of the it job category on Recrutus.
Recrutus

Curating the world's most innovative career opportunities. We bridge the gap between visionary talent and industry-leading companies.

Search roles by city, category, skill, or job type — explore verified US employers, salary benchmarks, and remote-friendly teams hiring nationwide.

publiclanguageshare
Job seekers
Browse jobsCompanies hiringRemote jobsJobs by locationJobs by cityJobs by categoryJobs by skillCareer guidesCareer blogSalary insights
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Jobs in TexasJobs in New YorkJobs in CaliforniaJobs in FloridaJobs in ArizonaJobs in MassachusettsAll states →
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Company
About usFAQContactPrivacy policyUS privacy notice

Recrutus helps candidates discover roles that match their skills and helps teams reach qualified applicants faster. Browse by metro, discipline, or work style — from internships to senior leadership.

© 2026 Recrutus. All rights reserved.
Terms of serviceCookie policyAcceptable useDMCA policyEmployer termsCandidate terms
check_circle
check_circleFree Pittsburgh Regional Transit bus pass
check_circleAccess to Family Concierge Team for childcare needs
check_circleFitness center access

Skills Required

Temporal Neural Network DesignDigital Signal ProcessingRF Signal DetectionRF Signal ClassificationSignal Processing FundamentalsArtificial Neural Networks DesignArtificial Neural Networks ImplementationSpiking Temporal Neural Network ImplementationProgrammingSignal Processing Algorithms
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