2

Seasonal Remote Rf Engineer Jobs in Washington (NOW HIRING)

... remote sensing, you have a clear grasp of mission design trades, RF spectrum considerations, and ... Bachelor's degree in relevant Engineering (e.g. Aerospace, Mechanical, Electrical, Systems ...

... remote sensing, you have a clear grasp of mission design trades, RF spectrum considerations, and ... Bachelor's degree in relevant Engineering (e.g. Aerospace, Mechanical, Electrical, Systems ...

Senior Software Engineer

Leesburg, VA ยท On-site +1

$123K - $163K/yr

... and remote operations all rely on Iridium to stay connected. We take our responsibility for ... RF) resource planning and management. As well, the role focuses on evaluating system performance ...

Experience designing optical, radio frequency (RF), and/or high power avionics * Experience with ... Our positions are based in Reston, Virginia, with much of our team operating in a hybrid or remote ...

Technical Satellite Policy Analyst

Washington, DC ยท On-site +1

$85K - $100K/yr

Our customers currently include teachers in the most remote parts of the Amazon, researchers in ... As SpaceX acquires new radio frequency (RF) spectrum, identify where enabling service requires us ...

Technical Program Manager

Herndon, VA ยท On-site +1

$132K - $171K/yr

Your background in software engineering and data processing/algorithm development enables you to ... RF/Signal Experience: Exposure to RF signal processing, geolocation, spectrum monitoring, or ...

The actual offer will be based on the individual candidate. #LI-JM3 #LI-REMOTE Basic Requirements ... LMR, RF Systems, Radio Communications, Radio Frequency, Motorola equipment, Wireless Communication ...

The actual offer will be based on the individual candidate. #LI-JM3 #LI-REMOTE Basic Requirements ... LMR, RF Systems, Radio Communications, Radio Frequency, Motorola equipment, Wireless Communication ...

next page

Showing results 1-20

Seasonal Remote Rf Engineer information

What is the difference between Seasonal Remote Rf Engineer vs Rf Engineer?

AspectSeasonal Remote Rf EngineerRf Engineer
CredentialsTypically requires a degree in electrical engineering or related field, with certifications like FCC or RF-specific trainingSame as seasonal role, often with additional certifications for advanced RF systems
Work EnvironmentRemote, project-based, often seasonal peaksOn-site or hybrid, depending on employer needs
Industry UsageTelecommunications, broadcasting, wireless networksTelecommunications, wireless, defense, and research sectors
Search & Comparison IntentFocuses on seasonal, remote RF project rolesBroader RF engineering roles, often permanent or full-time

The main difference is that a Seasonal Remote Rf Engineer works on RF projects during specific seasons and remotely, while an Rf Engineer may have a more permanent, on-site role across various projects. Both roles require similar technical skills and certifications, but their work settings and employment duration differ.

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

To thrive as a Seasonal Remote RF Engineer, you need a solid background in radio frequency engineering, wireless communications, and a relevant engineering degree. Familiarity with RF analysis tools such as Spectrum Analyzers, network simulation software, and certifications like FCC General Radiotelephone Operator License or similar are often required. Strong problem-solving abilities, effective communication, and self-motivation are crucial soft skills for remote and seasonal work environments. These competencies ensure reliable network performance, efficient troubleshooting, and successful collaboration across distributed teams, especially during peak project periods.

How does working as a Seasonal Remote RF Engineer impact collaboration with on-site teams and project timelines?

As a Seasonal Remote RF Engineer, you will regularly collaborate with on-site teams through virtual meetings, shared documentation, and coordinated testing schedules. While remote work provides flexibility, it requires strong communication skills to ensure alignment on project milestones and troubleshooting efforts. It's important to proactively share updates and address technical challenges quickly to keep projects on track, especially during peak seasonal workloads. Many organizations use collaborative tools and platforms to bridge the distance and maintain efficient workflows.

What is a Seasonal Remote RF Engineer?

A Seasonal Remote RF Engineer is a professional who specializes in radio frequency (RF) engineering tasks, such as designing, testing, and optimizing wireless communication systems, but works on a temporary or seasonal basis and often performs their duties remotely. These engineers may be hired during periods of high demand, such as network upgrades, special events, or specific project timelines. Working remotely, they use specialized software and tools to analyze RF data, plan coverage, and troubleshoot signal issues without being physically present on-site. This role requires strong technical knowledge in RF principles, wireless standards, and network optimization, along with the ability to collaborate virtually with teams.
What cities in Washington are hiring for Seasonal Remote Rf Engineer jobs? Cities in Washington with the most Seasonal Remote Rf Engineer job openings:
Principal Scientist - AI/ML Specialization - WFH1651

Principal Scientist - AI/ML Specialization - WFH1651

Global InfoTek, Inc.

Reston, VA โ€ข On-site, Remote

Full-time

Posted 22 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.