Peraton Labs is seeking a poly cleared Senior Research Scientist to support cleared research and development efforts for a Maryland-based IC customer. This role will focus on leading the design development prototyping and evaluation of RF Machine Learning algorithms and signal processing techniques for advanced wireless spectrum cyber and communications research.
Youll work on mission-focused R&D efforts that move from research concepts to working prototypes and operationally relevant capabilities. You will collaborate with researchers software engineers signal processing experts and customer stakeholders to solve complex problems involving RF sensing signal characterization waveform analysis spectrum awareness and machine learning-enabled wireless systems.
This position requires full-time on-site work at a customer site near College Park MD.
Key responsibilities may include
Lead the design development prototyping and evaluation of RF/ML algorithms for wireless spectrum and communications applications
Research and implement machine learning approaches for RF signal detection classification characterization anomaly detection emitter identification spectrum sensing or waveform analysis
Develop and evaluate algorithms using modern machine learning frameworks such as PyTorch TensorFlow Keras scikit-learn JAX or similar tools
Apply strong digital signal processing and RF domain knowledge to develop train test and validate models against real-world or simulated RF data
Design data collection labeling preprocessing feature extraction training evaluation and experimentation workflows for RFML research
Develop software prototypes using Python C/C MATLAB GNU Radio or similar tools
Analyze RF signals wireless protocol behavior modulation characteristics channel effects interference noise and system performance
Work with RF datasets signal captures IQ data SDR platforms and lab or field-collected spectrum data
Support integration of RFML capabilities into larger research prototypes testbeds cyber experimentation platforms or operationally relevant systems
Communicate research findings technical approaches experiment results and prototype capabilities through customer briefings technical reports whitepapers and publications
Provide technical leadership mentor junior researchers or engineers and help shape future RFML research direction
*This position may be eligible for an increased sign-on bonus. Eligibility bonus amount and applicable terms and conditions will be discussed during the recruiting process*
#MDFSP
#PLABS26
Qualifications
Minimum Qualifications
Minimum of 6 years of experience with a Bachelors degree 4 years of experience with a Masters degree or 2 years of experience with a Ph.D. in Electrical Engineering Computer Engineering Computer Science Applied Mathematics Physics or a related lieu of a Bachelors an additional 4 years of experience is required for a total of 10 years.
Strong background in Radio frequency Machine Learning digital signal processing wireless communications or RF systems research
Experience designing developing training testing or evaluating machine learning models for RF wireless spectrum signal processing or communications applications
Experience with modern machine learning frameworks such as PyTorch TensorFlow Keras scikit-learn or similar tools
Strong Experience programming in Python and at least one additional language such as C/C Java or similar
Experience working with RF data signal captures IQ samples simulated waveforms or real-world wireless datasets
Experience working in Linux-based dev environments
Ability to develop test troubleshoot document and demonstrate research prototypes
Strong written and verbal communication skills including the ability to present technical concepts and research results to technical stakeholders
US Citizenship is a requirement for this position
This position requires an active/current TS/SCI w/ Polygraph
Desired Additional Qualifications
Advanced degree in Electrical Engineering Computer Engineering Computer Science Applied Mathematics Physics or a related technical field is preferred
Demonstrated history of research in Machine Learning and RF spectrum domains including publications prototypes proposals patents technical reports or customer-facing research briefings
Experience with RFML applications such as signal classification modulation recognition emitter identification spectrum sensing anomaly detection interference detection protocol inference or RF fingerprinting
Experience with SDR platforms such as Ettus USRP HackRF BladeRF LimeSDR or similar hardware
Familiarity with SDR software and RF development tools such as GNU Radio UHD/USRP MATLAB Simulink or similar tools
Experience with wireless systems or protocols such as LTE 5G Wi-Fi SATCOM MANET tactical radio systems mesh networks or custom waveform environments
Experience with RF test equipment such as spectrum analyzers signal generators oscilloscopes vector signal analyzers channel emulators or RF front-end equipment
Experience with deep learning approaches for signal processing including CNNs RNNs transformers autoencoders contrastive learning self-supervised learning or generative models
Experience with data engineering for RFML including dataset generation augmentation labeling synthetic data simulation model evaluation and experiment tracking
Experience with tools such as NumPy SciPy Pandas cuSignal CUDA MLflow Weights & Biases DVC or similar tools
Experience integration ML models into deployable prototypes edge systems containers testbeds or cyber/radio experimentation environments
Experience with RF cyber research wireless security electronic warfare spectrum operations protocol reverse engineering or adversarial ML
Ability to serve as a technical lead task lead or principal investigator on DoD/IC research efforts
Peraton Overview
Peraton is a next-generation national security company that drives missions of consequence spanning the globe and extending to the farthest reaches of the galaxy. As the worlds leading mission capability integrator and transformative enterprise IT provider we deliver trusted highly differentiated solutions and technologies to protect our nation and allies. Peraton operates at the critical nexus between traditional and nontraditional threats across all domains: land sea space air and cyberspace. The company serves as a valued partner to essential government agencies and supports every branch of the U.S. armed forces. Each day our employees do the cant be done by solving the most daunting challenges facing our customers. Visit to learn how were keeping people around the world safe and secure.
Target Salary Range
$135000 - $216000. This represents the typical salary range for this position. Salary is determined by various factors including but not limited to the scope and responsibilities of the position the individuals experience education knowledge skills and competencies as well as geographic location and business and contract considerations. Depending on the position employees may be eligible for overtime shift differential and a discretionary bonus in addition to base pay.
EEO
EEO: Equal opportunity employer including disability and protected veterans or other characteristics protected by law.
Required Experience:
IC
ResponsibilitiesPeraton Labs is seeking a poly cleared Senior Research Scientist to support cleared research and development efforts for a Maryland-based IC customer. This role will focus on leading the design development prototyping and evaluation of RF Machine Learning algorithms and signal proces...
Responsibilities
Peraton Labs is seeking a poly cleared Senior Research Scientist to support cleared research and development efforts for a Maryland-based IC customer. This role will focus on leading the design development prototyping and evaluation of RF Machine Learning algorithms and signal processing techniques for advanced wireless spectrum cyber and communications research.
Youll work on mission-focused R&D efforts that move from research concepts to working prototypes and operationally relevant capabilities. You will collaborate with researchers software engineers signal processing experts and customer stakeholders to solve complex problems involving RF sensing signal characterization waveform analysis spectrum awareness and machine learning-enabled wireless systems.
This position requires full-time on-site work at a customer site near College Park MD.
Key responsibilities may include
Lead the design development prototyping and evaluation of RF/ML algorithms for wireless spectrum and communications applications
Research and implement machine learning approaches for RF signal detection classification characterization anomaly detection emitter identification spectrum sensing or waveform analysis
Develop and evaluate algorithms using modern machine learning frameworks such as PyTorch TensorFlow Keras scikit-learn JAX or similar tools
Apply strong digital signal processing and RF domain knowledge to develop train test and validate models against real-world or simulated RF data
Design data collection labeling preprocessing feature extraction training evaluation and experimentation workflows for RFML research
Develop software prototypes using Python C/C MATLAB GNU Radio or similar tools
Analyze RF signals wireless protocol behavior modulation characteristics channel effects interference noise and system performance
Work with RF datasets signal captures IQ data SDR platforms and lab or field-collected spectrum data
Support integration of RFML capabilities into larger research prototypes testbeds cyber experimentation platforms or operationally relevant systems
Communicate research findings technical approaches experiment results and prototype capabilities through customer briefings technical reports whitepapers and publications
Provide technical leadership mentor junior researchers or engineers and help shape future RFML research direction
*This position may be eligible for an increased sign-on bonus. Eligibility bonus amount and applicable terms and conditions will be discussed during the recruiting process*
#MDFSP
#PLABS26
Qualifications
Minimum Qualifications
Minimum of 6 years of experience with a Bachelors degree 4 years of experience with a Masters degree or 2 years of experience with a Ph.D. in Electrical Engineering Computer Engineering Computer Science Applied Mathematics Physics or a related lieu of a Bachelors an additional 4 years of experience is required for a total of 10 years.
Strong background in Radio frequency Machine Learning digital signal processing wireless communications or RF systems research
Experience designing developing training testing or evaluating machine learning models for RF wireless spectrum signal processing or communications applications
Experience with modern machine learning frameworks such as PyTorch TensorFlow Keras scikit-learn or similar tools
Strong Experience programming in Python and at least one additional language such as C/C Java or similar
Experience working with RF data signal captures IQ samples simulated waveforms or real-world wireless datasets
Experience working in Linux-based dev environments
Ability to develop test troubleshoot document and demonstrate research prototypes
Strong written and verbal communication skills including the ability to present technical concepts and research results to technical stakeholders
US Citizenship is a requirement for this position
This position requires an active/current TS/SCI w/ Polygraph
Desired Additional Qualifications
Advanced degree in Electrical Engineering Computer Engineering Computer Science Applied Mathematics Physics or a related technical field is preferred
Demonstrated history of research in Machine Learning and RF spectrum domains including publications prototypes proposals patents technical reports or customer-facing research briefings
Experience with RFML applications such as signal classification modulation recognition emitter identification spectrum sensing anomaly detection interference detection protocol inference or RF fingerprinting
Experience with SDR platforms such as Ettus USRP HackRF BladeRF LimeSDR or similar hardware
Familiarity with SDR software and RF development tools such as GNU Radio UHD/USRP MATLAB Simulink or similar tools
Experience with wireless systems or protocols such as LTE 5G Wi-Fi SATCOM MANET tactical radio systems mesh networks or custom waveform environments
Experience with RF test equipment such as spectrum analyzers signal generators oscilloscopes vector signal analyzers channel emulators or RF front-end equipment
Experience with deep learning approaches for signal processing including CNNs RNNs transformers autoencoders contrastive learning self-supervised learning or generative models
Experience with data engineering for RFML including dataset generation augmentation labeling synthetic data simulation model evaluation and experiment tracking
Experience with tools such as NumPy SciPy Pandas cuSignal CUDA MLflow Weights & Biases DVC or similar tools
Experience integration ML models into deployable prototypes edge systems containers testbeds or cyber/radio experimentation environments
Experience with RF cyber research wireless security electronic warfare spectrum operations protocol reverse engineering or adversarial ML
Ability to serve as a technical lead task lead or principal investigator on DoD/IC research efforts
Peraton Overview
Peraton is a next-generation national security company that drives missions of consequence spanning the globe and extending to the farthest reaches of the galaxy. As the worlds leading mission capability integrator and transformative enterprise IT provider we deliver trusted highly differentiated solutions and technologies to protect our nation and allies. Peraton operates at the critical nexus between traditional and nontraditional threats across all domains: land sea space air and cyberspace. The company serves as a valued partner to essential government agencies and supports every branch of the U.S. armed forces. Each day our employees do the cant be done by solving the most daunting challenges facing our customers. Visit to learn how were keeping people around the world safe and secure.
Target Salary Range
$135000 - $216000. This represents the typical salary range for this position. Salary is determined by various factors including but not limited to the scope and responsibilities of the position the individuals experience education knowledge skills and competencies as well as geographic location and business and contract considerations. Depending on the position employees may be eligible for overtime shift differential and a discretionary bonus in addition to base pay.
EEO
EEO: Equal opportunity employer including disability and protected veterans or other characteristics protected by law.
Peraton provides innovative solutions for the most sensitive and critical programs in government today, developed and executed by scientists, engineers, and other experts.
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