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Peraton

Runs and secures technology for federal agencies

Senior Research Scientist - Network Systems

AI ResearchConfirmed live in the last 24 hours
Full-timeIn-person

About the Job

Requirements

  • A strong foundation in radio frequency communications theory, including modulation and demodulation, propagation, link budgets, and spectrum analysis.
  • Hands-on experience with digital signal processing, including filtering, fast Fourier transform and spectral analysis, detection, estimation, and adaptive algorithms.
  • Demonstrated expertise in compressive sensing, including sparse signal recovery, L1/L2 optimization, sensing matrix design, and sub-Nyquist sampling techniques.
  • Proficiency designing and implementing machine learning algorithms, including supervised, unsupervised, deep learning, and reinforcement learning, with emphasis on signal and time-series data.
  • Experience building end-to-end machine learning pipelines covering data ingestion, preprocessing, feature engineering, training, validation, deployment, and monitoring.
  • Knowledge of machine learning architectures, including convolutional neural networks, recurrent neural networks and long short-term memory networks, transformers, autoencoders, and generative adversarial networks, with applied experience selecting models for radio frequency/signal and data analytic problems.
  • Strong data analytics skills, including exploratory analysis, statistical modeling, visualization, and deriving actionable insight from large or complex datasets.
  • Hands-on experience with PyTorch, TensorFlow/Keras, scikit-learn, NumPy, pandas, and Spark.
  • Experience with MLOps practices, including version control, containerization with Docker, CI/CD, experiment tracking with MLflow or W&B, and model serving.
  • Strong programming skills in Python and C/C++; MATLAB is a plus.
  • Version control experience with Git, Linux development environment, and scripting proficiency.
  • A BS in Electrical Engineering, Computer Engineering, Computer Science, Applied Mathematics, or a related discipline and at least 12 years of experience; alternatively, at least 10 years with an MS/MA or at least 7 years with a Ph.D.
  • A demonstrated project or publication record spanning both radio frequency/signal processing and machine learning domains.
  • U.S. citizenship.
  • Clear technical communication skills to translate algorithms into implementation and explain results to stakeholders, and to write technical papers and reports.
  • Self-direction and experience taking prototypes from concept through demonstration.

Responsibilities

  • Conduct research in networking and wireless communications, including 5G and non-terrestrial networks.
  • Conduct cybersecurity research, including formal methods, side-channel analysis, and high-fidelity emulation of cyber-physical systems.
  • Develop resilient networking in support of cyber mission goals.
  • Develop software-defined networking for cyber defense and deception.
  • Conduct research using artificial intelligence methods, including reasoning, probabilistic inference, and machine learning.

Desired Qualifications

  • Experience applying machine learning to radio frequency problems such as signal classification, spectrum sensing, radio frequency interference mitigation, cognitive radio, direction finding, or emitter identification.
  • Background in Department of Defense or Intelligence Community programs, electronic warfare, signals intelligence, or radar systems.
  • An active security clearance or ability to obtain one.

About the Company

Peraton

Runs and secures technology for federal agencies

Peraton builds and runs secure technology for American defense, intelligence, space, and civilian agencies, from military networks to satellite ground stations. In 2025, the Federal Aviation Administration chose it to manage the overhaul of the nation's air traffic control system, replacing copper wiring with fiber and upgrading radar and radios. Its engineers, many holding security clearances, run and defend agency networks and data centers, write mission software, and operate space and communications systems, and agencies pay for this work through multiyear contracts. Peraton was formed in 2017, when private-equity firm Veritas Capital bought Harris Corporation's government IT business, and is based in Reston, Virginia.

Company size
10,001+
Company stage
Grant
Total funding
$60M
Headquarters
Reston, VA
Founded
2017

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