Home › Companies › Careers Peraton Icims Com › Software Research Engineer - RF Machine Learning (RFML)
Software Research Engineer - RF Machine Learning (RFML)
Careers Peraton Icims Com · College Park, MD, US · On Site · Active · $104,000–$166,000 / day · iCIMS
Job facts
| Field | Value |
|---|---|
| Company | Careers Peraton Icims Com |
| Title | Software Research Engineer - RF Machine Learning (RFML) |
| Normalized title | - |
| Department / team | Scientific, Research & Analysis |
| Location | College Park, MD, United States |
| Work model | On Site |
| Employment type | Full Time |
| Salary | $104,000–$166,000 / day |
| Status | active |
| ATS provider | iCIMS |
| Posted / first seen | 2026-02-16 / 2026-05-31 |
| Changed / last seen | 2026-06-01 / 2026-06-06 |
Related slices
| Page | What it contains | Open |
|---|---|---|
| Company jobs | Active postings from Careers Peraton Icims Com. | Open |
| Company breakdowns | Role, location, ATS, and work model facets for this company. | Open |
| ATS provider jobs | Active postings observed through iCIMS. | Open |
| Provider filtered search | The same provider as a filtered job collection. | Open |
| City jobs | Active postings in College Park. | Open |
| Department jobs | Active postings in Scientific, Research & Analysis. | Open |
| Work model jobs | Active On Site postings. | Open |
| Lifecycle events | Open, update, close, and reopen events for this posting. | Open |
| Original posting | Canonical source or apply URL captured from the ATS. | Open |
Linked records
| Company | Careers Peraton Icims Com |
| Source | 944b3981-c90b-4379-a0d8-7cc8e4e36cf3 |
| ATS provider | iCIMS |
Description
Responsibilities
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
Qualifications
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 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 world’s 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 can’t be done by solving the most daunting challenges facing our customers. Visit peraton.com to learn how we’re keeping people around the world safe and secure.
Target Salary Range $104,000 - $166,000. 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 individual’s 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.
Full job record
| Job ID | a2f64b812d8ac37be889d88b2ef7e6e641b0a75b |
| Org ID | b88db125-2f81-4362-9897-a29d0e7de670 |
| Source ID | 944b3981-c90b-4379-a0d8-7cc8e4e36cf3 |
| Board ID | 944b3981-c90b-4379-a0d8-7cc8e4e36cf3 |
| Provider | icims |
| Provider Job Key | 163590 |
| Title | Software Research Engineer - RF Machine Learning (RFML) |
| Normalized Title | — |
| Status | active |
| Active | yes |
| Location Text | College Park, MD, US |
| Department | Scientific, Research & Analysis |
| Team | — |
| Employment Type | full_time |
| Workplace Type | on_site |
| Remote Policy | — |
| Country | United States |
| Region | MD |
| City | College Park |
| Salary Raw | Responsibilities 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 Qualifications 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 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 world’s 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 can’t be done by solving the most daunting challenges facing our customers. Visit peraton.com to learn how we’re keeping people around the world safe and secure. Target Salary Range $104,000 - $166,000. 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 individual’s 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. |
| Salary Min | 104,000 |
| Salary Max | 166,000 |
| Salary Currency | USD |
| Salary Period | day |
| Source URL | https://careers-peraton.icims.com/jobs/163590/software-research-engineer---rf-machine-learning-%28rfml%29/job |
| Apply URL | https://careers-peraton.icims.com/jobs/163590/software-research-engineer---rf-machine-learning-%28rfml%29/job |
| First Seen At | 2026-05-31 18:45:22Z |
| Last Seen At | 2026-06-06 08:30:31Z |
| Last Checked At | 2026-06-06 08:30:31Z |
| Last Changed At | 2026-06-01 13:53:09Z |
| Inactive At | — |
| Source Posted At | 2026-02-16 05:00:00Z |
| Source Updated At | 2026-05-21 21:12:40Z |
| Raw Payload Uri | s3://job-postings-prod-raw-590183727216/raw/provider=icims/board=careers-peraton.icims.com/date=2026-06-06/2026-06-06T08-29-11-585Z-62c6aa17ff46c56fb91a34c45fc7003d905a4242cf4e51d0ad09795febd21c98.json |
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Eligibility, bonus amount, and applicable terms and conditions will be discussed during the recruiting process*</em></p>\n<p> </p>\n<p>#MDFSP</p>\n<p>#PLABS26</p>\n<h2>Qualifications</h2>\n<p><strong><u>Minimum qualifications</u></strong></p>\n<ul>\n <li>Minimum of 3+ years of experience and a Bachelors, 1+ years and a Masters, or a PhD in Computer Science or related discipline. 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