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Remote Control Operator Jobs in Virginia (NOW HIRING)

... City Remote Country United States Working time Full-time Description & Requirements Maximus is a ... Our work focuses on sustaining, operating, and improving essential government systems and services ...

Contract to Hire Onsite or Remote: Onsite Hybrid preferred - open to remote Location (if onsite ... Create and maintain standard operating procedures, job aids, and other required documentation

Herndon, VA 20171 (Remote) Employment Type: FTE + Benefits Client is supporting the FedRAMP and ... Understand enterprise operating environments, including security posture, application environment ...

... operating procedures , checklists, and report/metadata templates * Training junior staff in QA/QC ... Bachelor's degree in Geography, GIS, or related field * 5+ years of experience in the GIS/Remote ...

... operating system. Must be dynamic, innovative, self\-starting problem solver. Must have the ... Remote network and server administration \n * Implementing Virtual private network (VPN) \n

... range of operating environments, from remote and austere locations to high-throughput modern ... Experience with identity verification , biometrics , access-control , document technologies ...

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Remote Control Operator information

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$11

$24

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How much do remote control operator jobs pay per hour?

As of Sep 4, 2026, the average hourly pay for remote control operator in Virginia is $24.43, according to ZipRecruiter salary data. Most workers in this role earn between $19.33 and $27.64 per hour, depending on experience, location, and employer.

What is a remote control operator?

A Remote Control Operator is responsible for operating machinery, equipment, or systems from a remote location using specialized controls. This role is commonly found in industries such as transportation, manufacturing, and broadcasting, where remote operation enhances safety and efficiency. Duties may include monitoring system performance, troubleshooting issues, and ensuring smooth operations. Strong technical skills and attention to detail are essential for success in this role.

What are the key skills and qualifications needed to thrive as a remote control operator?

To excel as a Remote Control Operator, you need keen hand-eye coordination, mechanical aptitude, and experience with remote operation systems, usually supported by a high school diploma or equivalent technical training. Familiarity with remote-control technologies, such as radio-control transmitters, programmable logic controllers (PLCs), or specific machinery software, may be required, along with relevant safety certifications. Strong attention to detail, clear communication, and the ability to remain calm under pressure are valuable soft skills in this role. These competencies are essential for ensuring operational accuracy, safety, and effective teamwork in high-stakes environments.

What are the typical work environments and team structures for remote control operators?

Remote Control Operators typically work in industrial, construction, transportation, or entertainment settings, operating equipment like cranes, drones, vehicles, or machines from a distance. The role often involves working as part of a coordinated team alongside on-site engineers, safety personnel, and supervisors to ensure smooth and safe operations. Operators may work in control rooms, on-site trailers, or designated operational areas, and shifts can vary depending on project demands. Collaboration, adherence to safety protocols, and real-time communication are key aspects of the daily workflow for this position.

How to become a remote control operator?

To become a remote control operator, candidates typically need a high school diploma or equivalent and should develop skills in operating remote control systems, often through on-the-job training or technical courses. Familiarity with electronic equipment, attention to detail, and the ability to work independently are important; some positions may require certifications or experience with specific tools or software.

Who is the best company to work for a remote control operator?

Remote control operators can find employment with broadcasting companies, security firms, or transportation agencies that require remote monitoring and operation. The best companies typically offer stable schedules, proper training, and opportunities for certification in relevant tools and systems. Job seekers should research company reputations and ensure they meet technical skill requirements for remote operation roles.

What job categories do people searching Remote Control Operator jobs in Virginia look for?

The top searched job categories for Remote Control Operator jobs in Virginia are:

What cities in Virginia are hiring for Remote Control Operator jobs?

Cities in Virginia with the most Remote Control Operator job openings:

Infographic showing various Remote Control Operator job openings in Virginia as of August 2026, with employment types broken down into 80% Full Time, 15% Part Time, and 5% Contract. Highlights an 100% Remote job distribution, with an average salary of $50,805 per year, or $24.4 per hour.

Radio Frequency Software Engineer Lead - 1648

Global InfoTek, Inc.

Reston, VA • On-site, Remote

Full-time

Re-posted 14 days ago


Key responsibilities

  • Implement, test, and maintain pipeline components including stream ingestion, rollup processing, database write, and batch post-processing modules.

  • Develop and maintain browser-based visualization and reporting tools that consume pipeline database output.

  • Implement and maintain stream simulation infrastructure, including TDMA network mission log replay and stream generation for testing.


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.