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Remote Verizon Rf Engineer Jobs in Washington (NOW HIRING)

Expression

AI/ML Engineer

Washington, DC · On-site +1

$130K - $170K/yr

Experience with software-defined radio data, RF analytics, or geospatial data analytics ... Hybrid or Remote with limited travel Benefits: Expression offers competitive salaries and benefits ...

TalentRemedy

Ground Station Lead

Herndon, VA · Remote

$139K - $172K/yr

... RF → remote monitoring, * Strong systems thinking across interfaces, mission operations workflows, and service reliability engineering. * Ability to operate autonomously in a fast-paced startup ...

TalentRemedy

Ground Station Lead

Herndon, VA · Remote

... timing RF remote monitoring, Strong systems thinking across interfaces, mission operations workflows, and service reliability engineering. Ability to operate autonomously in a fast-paced startup ...

Spire

Senior Solutions Architect

Washington, DC · Remote

... 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 ...

Spire

Senior Solutions Architect

Washington, DC · Remote

... 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 ...

Helsing

Software Engineer, Rust

Washington, DC · On-site +1

Experience with RF communications, telemetry, or datalink systems * Background in defense or ... remote and/or hybrid work available depending on position. All compensation and benefits are ...

Scout Space

Satellite Electrical Engineer

Reston, VA · On-site +1

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 ...

Scout Space

Satellite Electrical Engineer

Reston, VA · On-site +1

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 ...

SpaceX

Technical Satellite Policy Analyst

Washington, DC · 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 ...

Booz Allen Hamilton, Inc.

5G PHY M&S Engineer

Mclean, VA · On-site +1

$62K - $141K/yr

Remote Work: Hybrid Job Number: R0246960 Location: McLean,VA,US Share job via: Share 5G PHY M&S ... Ability to do Omnivores for RF planning * Secret clearance * Bachelor's degree Nice If You Have:

Booz Allen Hamilton, Inc.

SIGINT Analyst

Annapolis, MD · On-site +1

$99K - $225K/yr

You'll join a team of RF specialists, SIGDEV practitioners, and tool developers supporting true end ... Remote : If this position is listed as remote, there may still be occasions when you are required ...

Parsons

Data Analytics Architect

Alexandria, VA · On-site +1

This position collaborates with engineers, operators, analysts, and cybersecurity teams to ensure ... FAA Part 107 Remote Pilot Certification (required) Physical Requirements / Working Conditions ...

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Remote Verizon Rf Engineer information

What is a Remote Verizon RF engineer?

A Remote Verizon RF Engineer is a telecommunications professional who specializes in designing, optimizing, and maintaining Verizon's wireless radio frequency (RF) networks while working remotely. Their responsibilities include analyzing network performance, troubleshooting signal issues, planning new cell sites, and ensuring optimal coverage and capacity for Verizon customers. These engineers use specialized software tools to model RF propagation, assess interference, and implement solutions to improve network quality. As remote workers, they often collaborate virtually with onsite teams and use remote access tools to monitor and adjust network parameters.

What is the difference between Remote Verizon Rf Engineer vs Remote Wireless Network Engineer?

AspectRemote Verizon Rf EngineerRemote Wireless Network Engineer
CertificationsFCC, RF, or wireless certificationsCCNA, CWNA, or wireless certifications
Work EnvironmentTelecom, network infrastructure, field and officeNetwork design, troubleshooting, and deployment
Industry UsageTelecommunications, service providersTelecom, enterprise, and service providers

The Remote Verizon Rf Engineer and Remote Wireless Network Engineer roles share similar certifications and work environments, focusing on wireless communication systems. While the Verizon RF Engineer specializes in Verizon's network infrastructure, the Wireless Network Engineer has a broader scope across various providers and enterprise networks. Both roles require strong technical skills in wireless technology and often involve remote work, making them closely related but distinct in their specific focus areas.

What are some common challenges faced by Remote Verizon RF engineers, and how can they be addressed?

Remote Verizon RF Engineers often face challenges such as troubleshooting network issues without on-site access, coordinating with cross-functional teams across different time zones, and ensuring reliable communication for timely project updates. To address these challenges, engineers typically rely on robust remote monitoring tools, clear documentation, and regular virtual meetings to maintain team alignment. Building strong relationships with local field technicians and leveraging remote diagnostic software also greatly enhance problem-solving efficiency.

What are the key skills and qualifications needed to thrive as a Remote Verizon RF engineer?

To thrive as a Remote Verizon RF Engineer, you generally need a degree in electrical engineering or a related field, along with strong knowledge of RF principles, cellular network design, and optimization. Experience with tools such as Atoll, TEMS, and Spectrum Analyzers, as well as certifications like CCNA or relevant OEM certifications, are highly valued. Excellent problem-solving abilities, communication skills, and self-motivation are important soft skills for collaborating remotely and addressing technical challenges. These competencies are crucial to ensure reliable network performance, efficient troubleshooting, and seamless team coordination in a remote work environment.

What are the most commonly searched types of Verizon Rf Engineer jobs in Washington?

The most popular types of Verizon Rf Engineer jobs in Washington are:

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For Remote Verizon Rf Engineer jobs in Washington, the most frequently searched job titles are:

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The top searched job categories for Remote Verizon Rf Engineer jobs in Washington are:

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Remote Verizon Rf Engineer jobs near you

Principal Scientist - AI/ML Specialization - WFH1651

Global InfoTek, Inc.

Reston, VA • On-site, Remote

Full-time

Re-posted 26 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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