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Remote Gmdss Radio Operator Jobs (NOW HIRING)

SAIC

ASCCE Model Controller / Exercise Gamer

TX · Remote

$67.50/hr

Remote Work, TX, US Date Posted: 2026-05-28 Category: Engineering and Sciences Subcategory ... Accurately execute USAF Tactics, Techniques, and Procedures as well as radio and data link ...

SAIC

ASCCE Model Controller / Exercise Gamer

FL · Remote

$67.50/hr

Remote Work, FL, US Date Posted: 2026-05-28 Category: Engineering and Sciences Subcategory ... Accurately execute USAF Tactics, Techniques, and Procedures as well as radio and data link ...

SAIC

ASCCE Model Controller / Exercise Gamer

NM · Remote

$67.50/hr

Remote Work, NM, US Date Posted: 2026-05-28 Category: Engineering and Sciences Subcategory ... Accurately execute USAF Tactics, Techniques, and Procedures as well as radio and data link ...

Leidos

Palmer Research Associate (Alternate)

... sciences at remote Antarctic field stations, works with advanced scientific instrumentation ... Updates standard operating procedures. * Administers, operates, and maintains computer-based data ...

InterPark

Call Center Foreman - CHC PT

Chicago, IL · On-site +1

$17.85/hr

Our ownership perspective and operating expertise result in a superior parking experience for our ... Call Center Foreman position answers calls from a centralized remote monitoring location for ...

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Remote Gmdss Radio Operator information

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How much do remote gmdss radio operator jobs pay per hour?

As of Jun 9, 2026, the average hourly pay for remote gmdss radio operator in the United States is $23.60, according to ZipRecruiter salary data. Most workers in this role earn between $17.31 and $26.92 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Remote GMDSS Radio Operator, and why are they important?

To thrive as a Remote GMDSS Radio Operator, you need a solid understanding of maritime communication protocols, radio equipment operation, and possession of a valid GMDSS Operator Certificate. Familiarity with satellite communication systems, digital selective calling (DSC), and relevant maritime communication software is typically required. Attention to detail, quick decision-making, and effective communication are crucial soft skills for managing emergency situations and maintaining clear maritime correspondence. These skills ensure the safety of crews and vessels by enabling reliable and efficient maritime distress and safety communications.

How does a Remote GMDSS Radio Operator typically coordinate with ship personnel and shore-based teams during emergency situations?

A Remote GMDSS Radio Operator plays a crucial role in emergency communication by maintaining constant contact with both ship personnel and shore-based teams. In critical situations, operators must quickly relay distress signals, update authorities on the vessel's status, and coordinate search and rescue operations. This requires clear communication, quick decision-making, and familiarity with international protocols. Operators often work in tandem with other remote operators, port authorities, and maritime rescue coordination centers to ensure a rapid and effective response.

What is the difference between Remote Gmdss Radio Operator vs Gmdss Radio Operator?

AspectRemote Gmdss Radio OperatorGmdss Radio Operator
CertificationsRequired certifications like GMDSS Radio Operator License, GMDSS certificationSame certifications as remote role
Work EnvironmentPrimarily remote, often from home or officeOnboard ships or in maritime communication centers
Employer & IndustryMaritime companies, shipping firms, maritime communication providersMaritime industry, shipping companies, coast guard

The main difference between a Remote Gmdss Radio Operator and a Gmdss Radio Operator is the work environment. Remote operators work from a remote location, handling maritime communication tasks via radio systems, while traditional GMDSS Radio Operators are onboard ships or at maritime communication centers. Both roles require similar certifications and serve the maritime industry, but their work settings differ significantly.

What are Remote GMDSS Radio Operators?

Remote GMDSS Radio Operators are professionals responsible for operating and monitoring maritime communication systems using the Global Maritime Distress and Safety System (GMDSS). They ensure the safety of vessels by transmitting and receiving distress, safety, and routine messages from a remote location, often using advanced radio and satellite equipment. Their role is crucial for coordinating emergency responses and maintaining communication between ships and shore authorities, especially in situations where direct, on-board radio operators are not available. To perform this job, operators must be certified and knowledgeable about international maritime regulations and communication protocols.
What cities are hiring for Remote Gmdss Radio Operator jobs? Cities with the most Remote Gmdss Radio Operator job openings:
What are the most commonly searched types of Gmdss Radio Operator jobs? The most popular types of Gmdss Radio Operator jobs are:
What states have the most Remote Gmdss Radio Operator jobs? States with the most job openings for Remote Gmdss Radio Operator jobs include:
What job categories do people searching Remote Gmdss Radio Operator jobs look for? The top searched job categories for Remote Gmdss Radio Operator jobs are:
Remote Gmdss Radio Operator jobs near you
Infographic showing various Remote Gmdss Radio Operator job openings in the United States as of June 2026, with employment types broken down into 3% Locum Tenens, 1% Internship, 82% Full Time, 3% Temporary, 1% Contract, and 10% Nights. Highlights an 98% Physical, 1% Hybrid, and 1% Remote job distribution, with an average salary of $49,098 per year, or $23.6 per hour.
Radio Frequency Software Engineer Lead - 1648

Radio Frequency Software Engineer Lead - 1648

Global InfoTek, Inc.

Reston, VA • On-site, Remote

Full-time

Posted 18 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 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...

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