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Remote Principal Rf Engineer Jobs (NOW HIRING)

SAIC

Systems Engineer Sr Principal

Chantilly, VA · On-site +1

None Potential for Remote Work: ORA_ON_SITE Description Position Description The successful ... Knowledge of RF engineering principles, wideband receiver architectures, digital signal processing ...

Stellar Solutions

RF Satellite Systems Engineer

Boulder, CO · On-site +1

$150K - $180K/yr

RF Satellite Systems Engineer Job Locations US-CO-Boulder ID 2025-1888 Category Systems Engineer ... remote sensing systems and data products, to the infrastructures that support earth orbiting and ...

SAIC

Systems Engineer Sr Principal

Chantilly, VA · On-site +1

None Potential for Remote Work: ORA_ON_SITE Description Position Description The successful ... Knowledge of RF engineering principles, wideband receiver architectures, digital signal processing ...

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Remote Principal Rf Engineer information

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$74K

$147.2K

$212.5K

How much do remote principal rf engineer jobs pay per year?

As of Jun 1, 2026, the average yearly pay for remote principal rf engineer in the United States is $147,220.00, according to ZipRecruiter salary data. Most workers in this role earn between $118,500.00 and $173,000.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Remote Principal RF Engineer, and why are they important?

To thrive as a Remote Principal RF Engineer, you need deep expertise in RF design, electromagnetic theory, and signal processing, usually backed by a degree in electrical engineering and substantial industry experience. Familiarity with RF simulation tools (like ADS, HFSS, or CST), network analyzers, and relevant certifications (such as FCC or IEEE) is often required. Strong problem-solving abilities, effective communication, and project leadership are standout soft skills in this role. These competencies are essential for delivering high-performance RF solutions, ensuring regulatory compliance, and effectively leading cross-functional engineering teams.

How does a Remote Principal RF Engineer typically collaborate with cross-functional teams while working offsite?

As a Remote Principal RF Engineer, collaboration with cross-functional teams—such as hardware designers, software engineers, and project managers—is usually facilitated through regular virtual meetings, collaborative design platforms, and shared documentation tools. Despite being offsite, you’ll often participate in technical reviews, offer guidance on RF design challenges, and coordinate integration efforts to ensure project milestones are met. Successfully managing clear communication and documentation is essential in this remote environment to keep all team members aligned. Many organizations also use project management software and version control systems to streamline collaboration and ensure transparency across different time zones.

What is a Remote Principal RF Engineer?

A Remote Principal RF Engineer is a senior-level professional who specializes in designing, developing, and optimizing radio frequency (RF) systems and components, such as antennas, transmitters, and receivers, while working remotely. They often lead teams, oversee complex projects, and provide technical guidance to ensure high performance and compliance with industry standards. Their expertise is critical in industries like telecommunications, aerospace, and defense, where reliable wireless communication is essential.

What is the difference between Remote Principal Rf Engineer vs Remote Senior Rf Engineer?

AspectRemote Principal Rf EngineerRemote Senior Rf Engineer
CredentialsAdvanced degrees, certifications in RF engineeringRelevant experience, certifications often preferred
Work EnvironmentLeadership roles, strategic planning, cross-team collaborationHands-on design, testing, troubleshooting
Industry UsageUsed in high-level design and architecture roles in telecom and wireless industriesCommon in development and implementation teams

The Remote Principal Rf Engineer typically holds a leadership position with strategic responsibilities, while the Remote Senior Rf Engineer focuses more on technical expertise and hands-on tasks. Both roles require RF engineering credentials, but the principal level emphasizes project oversight and industry influence.

More about Remote Principal Rf Engineer jobs
What cities are hiring for Remote Principal Rf Engineer jobs? Cities with the most Remote Principal Rf Engineer job openings:
What are the most commonly searched types of Principal Rf Engineer jobs? The most popular types of Principal Rf Engineer jobs are:
What states have the most Remote Principal Rf Engineer jobs? States with the most job openings for Remote Principal Rf Engineer jobs include:
What job categories do people searching Remote Principal Rf Engineer jobs look for? The top searched job categories for Remote Principal Rf Engineer jobs are:
Remote Principal Rf Engineer jobs near you
Infographic showing various Remote Principal Rf Engineer job openings in the United States as of May 2026, with employment types broken down into 2% As Needed, 88% Full Time, 3% Part Time, and 7% Contract. Highlights an 100% Remote job distribution, with an average salary of $147,220 per year, or $70.8 per hour.
Principal Scientist - AI/ML Specialization - WFH1651

Principal Scientist - AI/ML Specialization - WFH1651

Global InfoTek, Inc.

Reston, VA • On-site, Remote

Full-time

Posted 9 days ago

Job description

Clearance Level:
US Citizenship: Required
Job Classification: Full Time
Location: Remote
Years of Experience: 10+ years of relevant experience
Education Level: Advanced degree (MS or PhD) in Electrical Engineering, Computer Science, Applied Mathematics, or a closely related quantitative field. Experience may be considered in place of education requirement.
Briefly Describe the Work:
GITI is seeking a Principal Scientist to serve as the senior technical authority on an R&D program focused on passive RF emitter identification and network analysis from real-time sensor data streams. The Principal Scientist leads independent, hands-on analysis of NDF (Network Description File) sensor datasets, provides technical direction across parallel research threads, and serves as the primary technical advisor to the government sponsor. The role spans the full research lifecycle: formulating hypotheses, writing and executing analytical code in Python and Jupyter notebooks, interpreting and validating results, and communicating findings to both technical peers and non-specialist stakeholders. This is a deeply technical, hands-on position - the Principal Scientist conducts analysis directly and does not delegate technical work as a substitute for personal proficiency. The candidate will work within a small, distributed team operating in air-gapped Linux environments on resource-constrained tactical edge hardware, with no cloud computing.
Responsibilities:
  • Conduct independent, hands-on data analysis on RF sensor datasets using Python and Jupyter notebooks - formulating hypotheses, writing and running analytical code, interpreting results, and producing findings that directly advance program research objectives
  • Provide technical advice and research direction across a multidisciplinary team; define analytical objectives, review and validate technical outputs from AI/ML engineers and software developers, and ensure coherence across parallel research threads
  • Serve as primary technical advisor to the government sponsor: translate operational requirements into research objectives, communicate findings clearly to non-specialist stakeholders, and maintain program alignment with sponsor priorities through written reports and technical presentations
  • Design and execute analytical investigations into RF sensor data quality, emitter behavior, and attribution reliability - including characterizing error sources, identifying systematic artifacts, and developing methods to distinguish real physical signatures from sensor or processing artifacts
  • Produce technical documentation - working notes, research findings, monthly status reports, and briefing materials - that accurately represent the scope and confidence level of analytical results

Expert-level career professional recognized as a technical authority in RF systems, signals intelligence, or a closely related applied domain. Exercises broad independent judgment in defining research approach, evaluating methods, and interpreting results. Operates with minimal supervision; accountable for the scientific integrity and practical relevance of program research outputs. Advanced degree (MS or PhD) with 10+ years of hands-on applied R&D experience.
Required Skills:
  • 10+ years of hands-on applied R&D experience in RF systems, signals intelligence, electronic warfare, or related domains.
  • Proven ability to quickly acquire domain knowledge; specifically in the areas of wireless digital communications and military techniques, tactics, and procedures
  • Demonstrated ability to independently develop and execute data analyses in Python or equivalent tools on real sensor datasets; must be capable of writing production-quality analytical code, not merely directing others to do so
  • Experience addressing common problems with large quantities of real-world data, such as imputation, noise, bias, and errors
  • Track record of working effectively on constrained-hardware edge systems - no cloud, no discrete GPU - with attention to computational efficiency and multi-core, multi-thread performance on x86 platforms

Desired Skills:
  • Deep familiarity with RF signal characteristics, sensor phenomenology, and the interpretation of passive receiver data - including recognition of processing artifacts, attribution ambiguities, and the limits of sensor-derived measurements
  • Hands-on experience applying machine learning - particularly metric learning, deep learning networks, or similarity-learning architectures - to RF or time-series signal data, including feature engineering, training pipeline development, and model validation
  • Familiarity with TDMA network protocols, emitter identification techniques (CID/PID), and the signal processing challenges of dense, contested electromagnetic environments
  • Experience with interferometric direction-finding, TDOA geolocation, or related passive geolocation methods, including practical knowledge of their failure modes and accuracy limitations
  • Experience with binary serialization formats (FlatBuffers, Protocol Buffers) and high-throughput sensor data pipelines operating in near-real-time on resource-constrained hardware
  • Background in statistical signal processing - error ellipses, bearing estimation uncertainty, feature reliability under noise - with the ability to distinguish statistically significant findings from artifacts of small sample size or improper normalization

Relevant Certifications:
  • Professional certifications in data science, signal processing, or related technical fields. Advanced academic credentials (PhD, MS) in a relevant quantitative discipline are strongly preferred and may substitute for certifications.

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.

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