Software Research Engineer - RF Machine Learning (RFML)
Peraton· Defense & Federal Services· Oct 1, 2026 · 27d ago
College Park, Maryland, United States
In office
Full-time
Mid
$112K–$179K
3+ years exp
Job description
Minimum qualifications
• Minimum of 3+ years of experience and a Bachelors, 1+ years and a Masters, or a PhD in Computer Science or related discipline. In lieu of a Bachelor’s degree, 4 additional years of experience is required for a total of 7 years of experience.
• Strong hands-on proficiency in Python and at least one of C/C++, Java, or Go (exposure to all is a plus)
• Experience or strong interest in one or more of the following domains: • RF Machine Learning (RFML), machine learning, algorithm development
• Digital Signal Processing (DSP)
• Software Defined Radio (SDR) / RF software engineering
• Experience with modern ML frameworks/platforms (e.g., PyTorch, TensorFlow, Keras) and applying them in practical workflows
• Strong ability to write/maintain technical documentation and communicate results (written and verbal)
• US Citizenship with an active/current TS/SCI w/ Polygraph is required
Preferred qualifications
• Prior experience delivering results in a customer-facing R&D environment (briefings, demos, technical exchanges, publications)
• Familiarity with secure development practices in restricted environments (e.g., hardened enclaves, controlled repos, offline build patterns)
• Familiarity with SDR platforms and tooling, such as Ettus USRP devices, GNU Radio, and SDR-based test setups
• Experienced with advanced signal processing concepts (e.g., Multiple-antenna (MIMO) methods, distributed signal processing, array processing, channel estimation, interference mitigation
• Experience with design, development, test, verification, and certification of operational software (including evidence-driven testing and documentation)
• Experience designing or implementing database/repository interfaces, including performance-oriented querying (SQL and/or NoSQL), schema design, and data pipeline awareness
• Experience supporting engineering best practices and research-to-prototype workflows: • Linux, Git-based development, CI/CD (e.g., Jenkins), Agile development practices, containerization (Docker), reproducible experimentation
Peraton Labs is seeking a poly cleared Software Research Engineer to join our team conducting advanced research at a customer site in Maryland. This role blends hands-on software development with applied research, supporting rapid prototyping, integration into complex environments, and performance-driven algorithm implementation. The ideal candidate is technically strong, curious, and comfortable working across research, engineering, and customer-facing deliverables. Work within this position spans research, prototyping, integration, test/evaluation, and delivery of technical artifacts.
This position requires full-time on-site work at a customer site near College Park, MD.
Key responsibilities may include:
• Design, develop, and modify software systems
• Integrate existing software into new or modified systems and operating environments
• Conduct RFML research and/or develop signal processing algorithms for wireless systems
• Support SDR-based experimentation and prototyping efforts as needed
• Design/implement complex database or data-repository interfaces and develop data queries for existing or proposed repositories
• Contribute to data workflows supporting experimentation, evaluation, and repeatable analysis
• Assist with developing and executing test procedures for prototype components and software releases
• Communicate technical results via customer presentations, technical documentation, and publications
• Produce design documents, simulation reports, and system documentation
• Collaborate with researchers and engineers to refine requirements and translate research goals into working prototypes
• Serve as a research team lead at the level appropriate for the project phase
*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
#CPMD26
Peraton Labs is seeking a poly cleared Software Research Engineer to join our team conducting advanced research at a customer site in Maryland. This role blends hands-on software development with applied research, supporting rapid prototyping, integration into complex environments, and performance-driven algorithm implementation. The ideal candidate is technically strong, curious, and comfortable working across research, engineering, and customer-facing deliverables. Work within this position spans research, prototyping, integration, test/evaluation, and delivery of technical artifacts.
This position requires full-time on-site work at a customer site near College Park, MD.
Key responsibilities may include:
• Design, develop, and modify software systems
• Integrate existing software into new or modified systems and operating environments
• Conduct RFML research and/or develop signal processing algorithms for wireless systems
• Support SDR-based experimentation and prototyping efforts as needed
• Design/implement complex database or data-repository interfaces and develop data queries for existing or proposed repositories
• Contribute to data workflows supporting experimentation, evaluation, and repeatable analysis
• Assist with developing and executing test procedures for prototype components and software releases
• Communicate technical results via customer presentations, technical documentation, and publications
• Produce design documents, simulation reports, and system documentation
• Collaborate with researchers and engineers to refine requirements and translate research goals into working prototypes
• Serve as a research team lead at the level appropriate for the project phase
*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
#CPMD26
Minimum qualifications
• Minimum of 3+ years of experience and a Bachelors, 1+ years and a Masters, or a PhD in Computer Science or related discipline. In lieu of a Bachelor’s degree, 4 additional years of experience is required for a total of 7 years of experience.
• Strong hands-on proficiency in Python and at least one of C/C++, Java, or Go (exposure to all is a plus)
• Experience or strong interest in one or more of the following domains: • RF Machine Learning (RFML), machine learning, algorithm development
• Digital Signal Processing (DSP)
• Software Defined Radio (SDR) / RF software engineering
• Experience with modern ML frameworks/platforms (e.g., PyTorch, TensorFlow, Keras) and applying them in practical workflows
• Strong ability to write/maintain technical documentation and communicate results (written and verbal)
• US Citizenship with an active/current TS/SCI w/ Polygraph is required
Preferred qualifications
• Prior experience delivering results in a customer-facing R&D environment (briefings, demos, technical exchanges, publications)
• Familiarity with secure development practices in restricted environments (e.g., hardened enclaves, controlled repos, offline build patterns)
• Familiarity with SDR platforms and tooling, such as Ettus USRP devices, GNU Radio, and SDR-based test setups
• Experienced with advanced signal processing concepts (e.g., Multiple-antenna (MIMO) methods, distributed signal processing, array processing, channel estimation, interference mitigation
• Experience with design, development, test, verification, and certification of operational software (including evidence-driven testing and documentation)
• Experience designing or implementing database/repository interfaces, including performance-oriented querying (SQL and/or NoSQL), schema design, and data pipeline awareness
• Experience supporting engineering best practices and research-to-prototype workflows: • Linux, Git-based development, CI/CD (e.g., Jenkins), Agile development practices, containerization (Docker), reproducible experimentation
Application prep
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Keywords to mirror
pythonjavagomachine learningmlsqlci/cdagiledocker
- Platform
- peraton
- Effort
- medium