2

Remote Frequency Management Jobs (NOW HIRING)

Senior Audit Manager (Remote)

Tampa, FL · On-site +1

$150K - $200K/yr

... risk management. 5. Exceptional client service skills, with the ability to build and maintain ... Frequency varies for text messages. Message and data rates may apply. Carriers are not liable for ...

Be Seen First

The role also involves tracking activities in a CRM, analyzing territory performance, and providing ... radio frequency systems, SCADA, or related technical industries is highly preferred. * Water ...

Provide remote technical support to field locations and operational teams. * Document maintenance ... Support equipment inventory management and asset tracking. * Travel domestically and ...

next page

Showing results 1-20

Remote Frequency Management information

See salary details

$23.5K

$79K

$158.5K

How much do remote frequency management jobs pay per year?

As of Jul 7, 2026, the average yearly pay for remote frequency management in the United States is $78,954.00, according to ZipRecruiter salary data. Most workers in this role earn between $54,500.00 and $100,000.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Remote Frequency Management Specialist, and why are they important?

To thrive as a Remote Frequency Management Specialist, you need a solid background in telecommunications, radio frequency (RF) engineering, and spectrum management, typically supported by a relevant degree and experience in RF allocation. Familiarity with industry-standard tools such as spectrum analyzers, RF planning software, and regulatory databases, as well as certifications like ITU or FCC licenses, is essential. Strong analytical thinking, problem-solving abilities, and effective communication skills help you collaborate with stakeholders and navigate regulatory requirements. These skills are vital for ensuring efficient spectrum usage, compliance with regulations, and uninterrupted wireless communications.

What is an RF manager?

An RF manager is a professional responsible for overseeing radio frequency operations, including planning, monitoring, and optimizing wireless communication systems. They often work with tools like spectrum analyzers and require knowledge of RF engineering principles to ensure reliable signal transmission and compliance with regulations.

What is remote frequency management?

Remote frequency management refers to the process of monitoring, allocating, and controlling radio frequencies from a remote location, often using specialized software and communication technologies. This role ensures that the radio spectrum is used efficiently and without interference, supporting wireless communication systems such as cellular networks, broadcasting, and emergency services. Remote frequency managers may work for telecommunications companies, regulatory bodies, or organizations with large communication networks. Their responsibilities include analyzing frequency usage, troubleshooting interference, and ensuring compliance with regulations. This job often requires strong technical, analytical, and communication skills.

Is RF engineering in demand?

RF engineering is in demand due to the growth of wireless communication, 5G networks, and IoT devices. Professionals with skills in signal processing, antenna design, and RF testing are sought after across telecommunications, defense, and aerospace industries.

What remote jobs are in high demand right now?

Remote frequency management roles are in high demand, especially in industries like telecommunications, broadcasting, and network services. These jobs often require skills in network analysis, troubleshooting, and familiarity with tools such as RF spectrum analyzers and software-defined radios. Professionals in this field typically work with flexible schedules and may need certifications in wireless communication or related areas.

What is the highest paying job in telecommunications?

In telecommunications, senior roles such as Telecommunications Director or Vice President often have the highest salaries, especially in large organizations. These positions typically require extensive experience, leadership skills, and knowledge of network infrastructure, often complemented by advanced certifications and strategic planning responsibilities.

What are some common challenges faced in a remote frequency management role, and how can they be effectively addressed?

One of the primary challenges in a remote frequency management role is ensuring seamless coordination with technical teams and regulatory bodies across different locations and time zones. Effective communication and the use of collaborative tools are essential for managing spectrum allocations, interference resolution, and compliance tasks remotely. Staying updated on evolving regulations and maintaining accurate documentation also require strong organizational skills. Regular virtual meetings and clear reporting structures help address these challenges, enabling efficient management of frequency resources from a remote setting.

What is the difference between Remote Frequency Management vs Remote Radio Frequency Technician?

AspectRemote Frequency ManagementRemote Radio Frequency Technician
CredentialsFCC licenses, engineering degreesFCC licenses, technical certifications
Work EnvironmentOffice, remote planning, and coordinationFieldwork, remote troubleshooting
Industry UsageTelecom planning and network optimizationNetwork maintenance and equipment setup

Remote Frequency Management involves planning and optimizing wireless frequencies remotely, focusing on network performance. Remote Radio Frequency Technicians perform hands-on troubleshooting and maintenance of radio equipment, often in the field but sometimes remotely. Both roles require FCC licenses and technical knowledge, but their daily tasks and work environments differ significantly.

More about Remote Frequency Management jobs
What cities are hiring for Remote Frequency Management jobs? Cities with the most Remote Frequency Management job openings:
What are the most commonly searched types of Frequency Management jobs? The most popular types of Frequency Management jobs are:
What states have the most Remote Frequency Management jobs? States with the most job openings for Remote Frequency Management jobs include:
Infographic showing various Remote Frequency Management job openings in the United States as of July 2026, with employment types broken down into 94% Full Time, and 6% Part Time. Highlights an 100% Remote job distribution, with an average salary of $78,954 per year, or $38 per hour.
Radio Frequency Software Engineer Principal - 1660

Radio Frequency Software Engineer Principal - 1660

Global InfoTek, Inc.

Reston, VA • On-site, Remote

$100K - $240K/yr

Full-time

Posted 6 days ago


Job description

Clearance Level: Public Trust (Secret Eligible)
US Citizenship: Required
Job Classification: 1099/Consultant ($150 - $200 per hour)
Location: Remote
Years of Experience: 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 Principal Software Engineer to support Cyber Operations Research and Development as the technical lead for production software development on a passive RF emitter identification and network analysis from real-time sensor data streams. The candidate will own the architecture, implementation, and delivery of the production pipeline - a stream ingestion, rollup, and post-processing system that operates on NDF (Network Description File) data produced by TDMA network sensors in dense, contested RF environments. The candidate will lead a small team of senior software engineers, coordinate closely with the program technical lead and AI/ML researchers to drive Cyber Operations software from prototype to production-quality, resource-efficient components deployable on tactical edge hardware. This is a hands-on technical leadership role: the Principal Engineer writes code, makes architecture decisions, and is accountable for pipeline performance and reliability in support of real world cyber operations.
Responsibilities:
  • Own the architecture and implementation of the production software pipeline, including stream ingestion, rollup, database write, and batch post-processing components
  • Lead a team of Senior Software Engineers in support of real world cyber operations; assign work, conduct code reviews, enforce quality standards, and provide technical mentorship
  • Establish and maintain disciplined software engineering practices: versioning, CI/CD pipelines, unit and integration testing, and documentation standards
  • Design and evaluate database and storage architecture for the tactical system and research enclave environments
  • Collaborate with the program technical lead to translate research findings and batch optimization algorithms into production pipeline components
  • Evaluate and benchmark Python pipeline performance on tactical-box-spec hardware; identify bottlenecks and lead porting of mature components to Rust or C for edge deployment
  • Manage and coordinate the tactical system VM environment and stream simulation infrastructure; ensure research VM is not disrupted by development activity
  • Define and enforce stream interface contracts between the ingestion layer, database, and downstream consumers
  • Evaluate emerging technologies (e.g., DuckDB/Parquet, Polars, message queues) against program requirements and recommend adoption decisions to the technical lead
  • Maintain the program's GitLab repository structure, branching strategy, and release management
  • Produce clear technical documentation including architecture decision records, interface specifications, and deployment guides
  • Support technical reviews and provide written inputs for sponsor deliverables as directed by the program technical lead

Expert-level career professional with broad and deep application of software engineering principles across the full development lifecycle. Exercises independent judgment in evaluating methods, techniques, and approaches; identifies and resolves complex technical problems with significant program impact. Provides technical leadership and direction to other engineers. Bachelor's (or equivalent) with 10+ years of experience.
Required Skills:
  • Demonstrated experience leading a software engineering team on a production data pipeline or streaming system; ability to set technical direction and mentor junior engineers
  • Expert-level Python development, including stream processing, multi-threaded/async architectures, and performance profiling
  • Proficiency in one or more compiled or systems languages (Rust, C, C++, or Go) for performance-critical components; experience porting Python to compiled targets
  • Hands-on experience designing and implementing relational database schemas and write-intensive data pipelines (MySQL, PostgreSQL, or equivalent)
  • Experience parsing binary serialization formats such as FlatBuffers or Protocol Buffers in a production context
  • Demonstrated ability to benchmark and optimize pipeline throughput on resource-constrained hardware or cloud environment
  • Strong proficiency with Linux system administration, remote server management via SSH, and air-gapped development environments
  • Experience architecting multi-consumer data systems where a single write path must serve concurrent display, analytics, and batch processing readers
  • Proficient in disciplined software engineering practices: GitLab/Git, CI/CD pipeline design, test-driven development, and code review
  • Excellent written and oral communication skills; ability to produce architecture decision records and technical documentation for both engineering and leadership audiences

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 deploying and operating software on tactical edge hardware co-located with a sensor system
  • Experience with lightweight stream or message queue architectures (ZeroMQ, RabbitMQ, or equivalent)
  • Experience with Polars or DuckDB for high-performance analytical workloads and write-once/read-many storage patterns
  • 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 model inference integration - ability to incorporate batch optimizer outputs into the production pipeline without requiring ML expertise
  • Experience with browser-based data visualization or reporting tools (React, D3, or equivalent) as a consumer of pipeline output
  • Experience with Jupyter Notebooks and research enclave environments; ability to bridge from research prototype to production code
  • Experience with FlatBuffers binary stream replay and simulation infrastructure for pipeline testing
  • Familiarity with Rust toolchain and ecosystem for systems-level development on Linux

Relevant Certifications:
  • Certifications in software engineering, computer science, or related fields (e.g., Certified Software Development Professional (CSDP); Certified Secure Software Lifecycle Professional (CSSLP); Red Hat Certified Engineer (RHCE); C++ Certified Professional Programmer (CPP); 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.