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Remote Rf Transmission Systems Jobs in Ashburn, VA

Sol Systems

Interconnection Engineer

Washington, DC · On-site +1

$95K - $130K/yr

  • Medical

  • Retirement

  • PTO

... , Transmission Strategy and be an integral member of Development team. Sol Systems is an ... Remote option is not offered this time. Commitment & Compensation: The base salary for this role is ...

Spire

Senior Solutions Architect

Washington, DC · Remote

... remote sensing, you have a clear grasp of mission design trades, RF spectrum considerations, and ... Aerospace, Mechanical, Electrical, Systems), Computer Science, Physics, or equivalent combination ...

Spire

Senior Solutions Architect

Washington, DC · Remote

... remote sensing, you have a clear grasp of mission design trades, RF spectrum considerations, and ... Aerospace, Mechanical, Electrical, Systems), Computer Science, Physics, or equivalent combination ...

Booz Allen Hamilton, Inc.

Software Signals Engineer

Mclean, VA · On-site +1

$86K - $198K/yr

  • Medical

  • Life

  • Retirement

  • PTO

Remote Work: No Job Number: R0244250 Location: McLean,VA,US Share job via: Share Software Signals ... systems, and procedures for deploying or analyzing wired or wireless transmission of signaling data.

TalentRemedy

Ground Station Lead

Herndon, VA · Remote

$139K - $172K/yr

Proven experience, including lab and field troubleshooting, deploying or operating complete systems: power → IP networking → timing → RF → remote monitoring, * Strong systems thinking across ...

TalentRemedy

Ground Station Lead

Herndon, VA · Remote

Proven experience, including lab and field troubleshooting, deploying or operating complete systems: power IP networking timing RF remote monitoring, Strong systems thinking across interfaces ...

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Remote Rf Transmission Systems information

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How much do remote rf transmission systems jobs pay per hour?

As of Aug 13, 2026, the average hourly pay for remote rf transmission systems in Ashburn, VA is $35.26, according to ZipRecruiter salary data. Most workers in this role earn between $39.33 and $39.33 per hour, depending on experience, location, and employer.

What is a remote RF transmission system?

Remote RF (Radio Frequency) Transmission Systems refer to technologies and equipment used to transmit and receive radio signals over a distance without direct physical connections. These systems are commonly used in telecommunications, broadcasting, wireless networking, and remote control applications. Working remotely in this field often involves monitoring, configuring, and troubleshooting RF equipment, ensuring signal quality, and maintaining system reliability. Professionals may also oversee remote installations and provide technical support for seamless communication across various platforms.

What is the difference between Remote Rf Transmission Systems vs Remote Rf Transmission Technicians?

AspectRemote Rf Transmission SystemsRemote Rf Transmission Technicians
CredentialsEngineering degrees, certifications in RF and telecommunicationsTechnical certifications, hands-on training in RF systems
Work EnvironmentDesign, planning, and system integration in labs or officesFieldwork, maintenance, and troubleshooting at sites
Industry UsageUsed by telecom companies, defense, and satellite providersEmployed by telecom and broadcast companies for system upkeep

Remote Rf Transmission Systems involve designing and deploying RF communication networks, requiring engineering expertise. In contrast, Remote Rf Transmission Technicians focus on maintaining and repairing existing systems in the field. Both roles are essential in the telecommunications industry but differ in responsibilities, credentials, and work settings.

What are the key skills and qualifications needed to thrive as a remote RF transmission systems engineer?

To thrive as a Remote RF Transmission Systems Engineer, you need a strong background in RF theory, signal propagation, and telecommunications, typically supported by a degree in electrical engineering or a related field. Familiarity with tools like spectrum analyzers, network analyzers, and RF simulation software, as well as certifications such as FCC or related wireless communication credentials, is often required. Strong problem-solving skills, attention to detail, and effective remote communication are essential soft skills for success in this position. These abilities ensure reliable system performance, timely troubleshooting, and seamless collaboration within geographically dispersed teams.

What are some common challenges faced by professionals working in remote RF transmission systems roles, and how can they be addressed?

Professionals in remote RF Transmission Systems roles often face challenges such as troubleshooting connectivity issues without physical access to equipment, managing signal interference, and ensuring reliable communication across long distances. These challenges can be addressed by utilizing remote monitoring tools, maintaining rigorous documentation, and collaborating closely with on-site technicians and network engineers. Effective communication, proactive system maintenance, and staying updated with the latest industry protocols are crucial for success in this largely remote and collaborative work environment.

What are popular job titles related to Remote Rf Transmission Systems jobs in Ashburn, VA?

For Remote Rf Transmission Systems jobs in Ashburn, VA, the most frequently searched job titles are:

What job categories do people searching Remote Rf Transmission Systems jobs in Ashburn, VA look for?

The top searched job categories for Remote Rf Transmission Systems jobs in Ashburn, VA are:

Remote Rf Transmission Systems jobs near you

Radio Frequency Software Engineer Lead - 1648

Global InfoTek, Inc.

Reston, VA • On-site, Remote

Full-time

Re-posted 22 days ago

Job description

Clearance Level: Public Trust
US Citizenship: Required
Job Classification: Full Time
Location: Remote
Years of Experience: 7-10 years of relevant experience
Education Level: BS Degree - experience may be considered in place of education requirement.
Briefly Describe the Work:
GITI is seeking a Lead RF Software Engineer to support Cyber Operations Research and Development on passive RF emitter identification and network analysis from real-time sensor data streams. The candidate will implement, test, and maintain components of production software pipeline - a stream ingestion, rollup, and post-processing system operating on NDF (Network Description File) data produced by TDMA network sensors in dense, contested RF environments. Working under the direction of the Principal Engineer and the Technical Lead. The Lead RF Software Engineer supports Cyber Operations by contributing to pipeline development across a range of functional areas including stream processing, database integration, display and reporting tools, simulation infrastructure, and CI/CD tooling. The role requires strong Python skills, comfort with air-gapped Linux environments, and the ability to work independently on well-defined components with minimal supervision in support of real world cyber operations.
Responsibilities:
  • Implement, test, and maintain assigned pipeline components including stream ingestion, rollup processing, database write, and batch post-processing modules in support of real world cyber operations
  • Develop and maintain browser-based visualization and reporting tools (track plots, waterfall displays, SmartBook report generation) that consume pipeline database output
  • Implement and maintain stream simulation infrastructure, including TDMA network mission log replay and stream generation at controllable rates for pipeline testing
  • Develop lightweight TNS simulator components: emitter and receiver models capable of following track plots and emitting in accordance with a network description
  • Contribute to database integration work on tactical-box-spec hardware, including MySQL schema design, query optimization, and performance benchmarking
  • Write comprehensive unit and integration tests for assigned components; implement and maintain CI/CD pipelines using GitLab to ensure functionality on hardware or in cloud environment
  • Identify and report performance bottlenecks in Python pipeline components; assist with porting mature components to Rust or C as directed
  • Perform basic Linux system administration on remote servers including package management, user configuration, and environment setup
  • Manage source code using GitLab; follow disciplined versioning, branching, and code review practices as established by the Principal Engineer
  • Produce clear technical documentation for implemented components including interface specifications, configuration guides, and test procedures
  • Participate in periodic technical check-ins with the program technical lead; share findings and flag blockers promptly

Career level with a complete understanding and wide application of technical principles, theories, and concepts. Working under general direction from the Principal Engineer, provides technical solutions to a wide range of well-defined problems and independently executes on assigned components. Bachelor's (or equivalent) with 7-10 years of experience, or a Master's with 5-7 years of experience.
Required Skills:
  • Strong proficiency in Python, with demonstrated experience in data processing pipelines, stream ingestion, or ETL development
  • Proficiency with Python data science libraries including NumPy, Pandas (or Polars), and scikit-learn
  • Experience with relational database development using MySQL, PostgreSQL, or SQLite, including schema design and query optimization
  • Experience parsing or generating binary serialization formats (FlatBuffers, Protocol Buffers, or equivalent)
  • Ability to develop, test, and debug on remote Linux servers via SSH using command-line tools and a modern IDE
  • Solid Linux operating system fundamentals including file system management, process control, and basic security hardening (Ubuntu)
  • Proficient in software engineering practices including Git/GitLab version control, unit testing, and CI/CD pipeline usage
  • Experience developing browser-based data visualization or reporting tools, or demonstrated ability to learn React/D3-based tooling on the job
  • Strong written and oral communication skills; ability to produce clear technical documentation for engineering audiences
  • Ability to work independently on assigned components with minimal supervision in a small, distributed team

Desired Skills:
  • Experience with TNS (Target Network System) sensor data formats and NDF ICD specifications
  • Familiarity with TDMA network protocols, time-division access architectures, and passive RF signal processing concepts
  • Experience with lightweight stream or message queue architectures (ZeroMQ, RabbitMQ, or equivalent)
  • Experience with Rust or Go for systems-level or performance-critical development on Linux
  • Experience with Polars or DuckDB for high-performance analytical workloads
  • Experience with performance profiling and optimization of Python pipelines on resource-constrained x86 hardware
  • Experience with LLM-assisted software development tools (e.g., Claude Code, GitHub Copilot, JetBrains AI Assistant, or equivalent); demonstrated ability to use AI tools productively for code generation, refactoring, and test case development while maintaining engineering judgment and code quality standards
  • Familiarity with AI/ML libraries (PyTorch, TensorFlow); ability to integrate trained model inference into a pipeline without requiring deep ML expertise
  • Experience with Jupyter Notebooks and research enclave environments; ability to read and adapt research prototype code
  • Experience with simulation or synthetic data generation for pipeline testing purposes
  • Familiarity with Apache data science tools such as Spark or Dask for large-scale data processing

Relevant Certifications:
  • Certifications in software engineering, computer science, or related fields (e.g., Certified Software Development Professional (CSDP); Certified Scrum Developer (CSD); Red Hat Certified Enterprise Application Developer; Certified Secure Software Lifecycle Professional (CSSLP); C++ Certified Associate Programmer (CPA); Professional Software Developer Certification (PSD); etc.)

Global InfoTek, Inc. is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, or disability.
About Global InfoTek, Inc. Global InfoTek Inc. has an award-winning track record of designing, developing, and deploying best-of-breed technologies that address the nation's pressing cyber and advanced technology needs. GITI has rapidly merged pioneering technologies, operational effectiveness, and best business practices for over two decades.
Clearance Level: Public Trust
US Citizenship: Required
Job Classification: Full Time
Location: Remote
Years of Experience: 7-10 years of relevant experience
Education Level: BS Degree - experience may be considered in place of education requirement.
Briefly Describe the Work:
GITI is seeking a Lead RF Software Engineer to support Cyber Operations Research and Development on passive RF emitter identification and network analysis from real-time sensor data streams. The candidate will implement, test, and maintain components of production software pipeline - a stream ingestion, rollup, and post-processing system operating on NDF (Network Description File) data produced by TDMA network sensors in dense, contested RF environments. Working under the direction of the Principal Engineer and the Technical Lead. The Lead RF Software Engineer supports Cyber Operations by contributing to pipeline development across a range of functional areas including stream processing, database integration, display and reporting tools, simulation infrastructure, and CI/CD tooling. The role requires strong Python skills, comfort with air-gapped Linux environments, and the ability to work independently on well-defined components with minimal supervision in support of real world cyber operations.
Responsibilities:
  • Implement, test, and maintain assigned pipeline components including stream ingestion, rollup processing, database write, and batch post-processing modules in support of real world cyber operations
  • Develop and maintain browser-based visualization and reporting tools (track plots, waterfall displays, SmartBook report generation) that consume pipeline database output
  • Implement and maintain stream simulation infrastructure, including TDMA network mission log replay and stream generation at controllable rates for pipeline testing
  • Develop lightweight TNS simulator components: emitter and receiver models capable of following track plots and emitting in accordance with a network description
  • Contribute to database integration work on tactical-box-spec hardware, including MySQL schema design, query optimization, and performance benchmarking
  • Write comprehensive unit and integration tests for assigned components; implement and maintain CI/CD pipelines using GitLab to ensure functionality on hardware or in cloud environment
  • Identify and report performance bottlenecks in Python pipeline components; assist with porting mature components to Rust or C as directed
  • Perform basic Linux system administration on remote servers including package management, user configuration, and environment setup
  • Manage source code using GitLab; follow disciplined versioning, branching, and code review practices as established by the Principal Engineer
  • Produce clear technical documentation for implemented components including interface specifications, configuration guides, and test procedures
  • Participate in periodic technical check-ins with the program technical lead; share findings and flag blockers promptly

Career level with a complete understanding and wide application of technical principles, theories, and concepts. Working under general direction from the Principal Engineer, provides technical solutions to a wide range of well-defined problems and independently executes on assigned components. Bachelor's (or equivalent) with 7-10 years of experience, or a Master's with 5-7 years of experience.
Required Skills:
  • Strong proficiency in Python, with demonstrated experience in data processing pipelines, stream ingestion, or ETL development
  • Proficiency with Python data science libraries including NumPy, Pandas (or Polars), and scikit-learn
  • Experience with relational database development using MySQL, PostgreSQL, or SQLite, including schema design and query optimization
  • Experience parsing or generating binary serialization formats (FlatBuffers, Protocol Buffers, or equivalent)
  • Ability to develop, test, and debug on remote Linux servers via SSH using command-line tools and a modern IDE
  • Solid Linux operating system fundamentals including file system management, process control, and basic security hardening (Ubuntu)
  • Proficient in software engineering practices including Git/GitLab version control, unit testing, and CI/CD pipeline usage
  • Experience developing browser-based data visualization or reporting tools, or demonstrated ability to learn React/D3-based tooling on the job
  • Strong written and oral communication skills; ability to produce clear technical documentation for engineering audiences
  • Ability to work independently on assigned components with minimal supervision in a small, distributed team

Desired Skills:
  • Experience with TNS (Target Network System) sensor data formats and NDF ICD specifications
  • Familiarity with TDMA network protocols, time-division access architectures, and passive RF signal processing concepts
  • Experience with lightweight stream or message queue architectures (ZeroMQ, RabbitMQ, or equivalent)
  • Experience with Rust or Go for systems-level or performance-critical development on Linux
  • Experience with Polars or DuckDB for high-performance analytical workloads
  • Experience with performance profiling and optimization of Python pipelines on resource-constrained x86 hardware
  • Experience with LLM-assisted software development tools (e.g., Claude Code, GitHub Copilot, JetBrains AI Assistant, or equivalent); demonstrated ability to use AI tools productively for code generation, refactoring, and test case development while maintaining engineering judgment and code quality standards
  • Familiarity with AI/ML libraries (PyTorch, TensorFlow); ability to integrate trained model inference into a pipeline without requiring deep ML expertise
  • Experience with Jupyter Notebooks and research enclave environments; ability to read and adapt research prototype code
  • Experience with simulation or synthetic data generation for pipeline testing purposes
  • Familiarity with Apache data science tools such as Spark or Dask for large-scale data processing

Relevant Certifications:
  • Certifications in software engineering, computer science, or related fields (e.g., Certified Software Development Professional (CSDP); Certified Scrum Developer (CSD); Red Hat Certified Enterprise Application Developer; Certified Secure Software Lifecycle Professional (CSSLP); C++ Certified Associate Programmer (CPA); Professional Software Developer Certification (PSD); etc.)

Global InfoTek, Inc. is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard t

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