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Remote Wireless Research Engineer Jobs (NOW HIRING)

MMB Solutions LLC

Systems Engineer

Dayton, OH · On-site +1

The engineer will work on next-generation wireless research involving 5G/6G telemetry architectures ... This role is based in Dayton, Ohio with the possibility of remote work. Requirements U.S.

Higharc

Research Engineer

Higharc is hiring a Research Engineer to join our Special Projects team. In this role, you'll ... Working at Higharc Higharc has been remote first since our founding in 2018. We offer flexible ...

University of Kansas

Research Engineer

Lawrence, KS · On-site +1

... engineering best practice methods for design, coding, documentation and automated testing, to ... We offer the option for in-office, remote, or hybrid work on a flexible 40-hour schedule. Due to ...

Anthropic

Research Engineer, Universes

Manhattan, NY · On-site +1

$500K - $850K/yr

Research Engineer, Universes Remote-Friendly (Travel-Required) | San Francisco, CA | Seattle, WA | New York City, NY About Anthropic Anthropic's mission is to create reliable, interpretable, and ...

Prolific

Research Engineer, AI Services

Research Engineer, AI Services Prolific Prolific is not just another player in the AI space - we ... Join us to enjoy a competitive salary, benefits, and remote working within our impactful, mission ...

Roboflow

Machine Learning Research Engineer

The Machine Learning Research Engineer will develop novel methods and contribute to the research ... Founded in 2019, the company is headquartered in Remote, USA, with a team of 51-200 employees. The ...

Roboflow

Machine Learning Research Engineer

The Machine Learning Research Engineer will develop novel methods and contribute to the research ... Founded in 2019, the company is headquartered in Remote, USA, with a team of 51-200 employees. The ...

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Remote Wireless Research Engineer information

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$37K

$106K

$142.5K

How much do remote wireless research engineer jobs pay per year?

As of Jun 5, 2026, the average yearly pay for remote wireless research engineer in the United States is $106,012.00, according to ZipRecruiter salary data. Most workers in this role earn between $104,000.00 and $104,000.00 per year, depending on experience, location, and employer.

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

To excel as a Remote Wireless Research Engineer, a strong background in wireless communication principles, signal processing, and a degree in electrical engineering or a related field are essential. Familiarity with technical tools such as MATLAB, Python, wireless simulation platforms, and knowledge of protocols like 5G or Wi-Fi, as well as relevant certifications (e.g., CWNA), are typically required. Strong problem-solving abilities, self-motivation, and effective remote communication skills distinguish top performers in this role. These competencies are vital for advancing wireless technology solutions, conducting independent research, and collaborating efficiently with distributed teams.

What are some common challenges faced by a Remote Wireless Research Engineer, and how can they be addressed?

One common challenge for Remote Wireless Research Engineers is ensuring effective collaboration with multidisciplinary teams while working remotely. Since much of the research involves coordination with hardware, software, and network specialists, clear communication and proactive updates are essential. Additionally, staying current with rapidly evolving wireless technologies and standards can be demanding, so regularly participating in virtual conferences and training is beneficial. Adopting collaborative tools and establishing routine check-ins helps maintain alignment and drive successful project outcomes.

What does a Remote Wireless Research Engineer do?

A Remote Wireless Research Engineer is responsible for studying, designing, and developing new wireless communication technologies, often while working remotely. They analyze wireless signal protocols, optimize network performance, and contribute to advancements in areas such as 5G, IoT, or Wi-Fi. Their work may include running simulations, developing prototypes, and collaborating with other engineers to solve complex technical problems. These engineers play a key role in improving the reliability, speed, and security of wireless networks, enabling better connectivity for devices and users.

What is the difference between Remote Wireless Research Engineer vs Wireless Systems Engineer?

AspectRemote Wireless Research EngineerWireless Systems Engineer
Required CredentialsBachelor's or Master's in Electrical Engineering, Computer Science; knowledge of wireless protocolsBachelor's or Master's in Electrical Engineering, Computer Science; expertise in wireless systems
Work EnvironmentResearch labs, remote collaboration, R&D teamsDesign, testing, and deployment in labs or field
Employer & Industry UsageTech companies, research institutions, telecom firmsTelecom providers, hardware manufacturers, network providers
Search & Comparison IntentResearch, innovation, wireless protocol developmentSystem design, deployment, network optimization

The Remote Wireless Research Engineer focuses on developing new wireless technologies and protocols in research settings, often working remotely. In contrast, the Wireless Systems Engineer applies wireless knowledge to design, implement, and optimize wireless networks and systems. Both roles require similar educational backgrounds and industry experience but differ in their primary focus—research versus practical deployment.

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Remote Wireless Research Engineer jobs near you

Systems Engineer

MMB Solutions LLC

Dayton, OH • On-site, Remote

Full-time

Posted 4 days ago

Job description

MMB Solutions is seeking a mid-level Systems Engineer to support the design, development, and operation of advanced wireless experimentation infrastructure for the Open 6G Testbed program. The engineer will work on next-generation wireless research involving 5G/6G telemetry architectures, AI-driven network experimentation, spectrum analytics, and integrated sensing and communications (ISAC).

This position will support development of a data architecture and machine learning experimentation platform used to collect, enrich, analyze, and operationalize wireless telemetry data from advanced radio systems operating in research environments.

The Systems Engineer will collaborate with software engineers, RF engineers, and data scientists to build scalable telemetry pipelines, research data infrastructure, and AI-enabled wireless experimentation platforms.

This role is based in Dayton, Ohio with the possibility of remote work.  

Requirements

U.S. Citizenship

Bachelors' Degree in one of the following:

  • Electrical Engeering
  • Computer Science
  • Systems Engineering
  • Computer Engineering
  • Wireless Communications

Key Responsibilities

Wireless Telemetry Architecture

Design and implement systems that collect and process telemetry data from advanced wireless networks and sensing infrastructure.

Responsibilities include:

  • Designing telemetry collection architectures for 5G and emerging 6G network environments
  • Integrating telemetry from multiple wireless interfaces including:
    • O-RAN E2 interfaces
    • F1 interfaces
    • Core network signaling (N1/N2/N3)
    • RRC signaling and RAN performance metrics
  • Supporting ingestion of telemetry sources such as:
    • User equipment activity
    • Spectrum observations
    • Network performance counters
  • Developing telemetry schemas and system documentation for research datasets.

Wireless Research Data Infrastructure

Support the development of a centralized wireless research data lake used to store and analyze large volumes of telemetry and experimentation data.

Responsibilities include:

  • Designing and supporting scalable data ingestion pipelines
  • Supporting schema enforcement and structured dataset management
  • Developing indexing and query capabilities for telemetry datasets
  • Integrating telemetry sources into research analytics environments
  • Supporting data lifecycle management for wireless experimentation datasets.

Data Enrichment and Machine Learning Integration

Develop and support automated data enrichment pipelines to convert raw telemetry into AI-ready wireless datasets.

Responsibilities include:

  • Implementing automated tagging and labeling pipelines
  • Integrating enrichment sources including:
    • Spectrum monitoring systems
    • Environmental sensors
    • Geospatial positioning systems
    • Experiment scenario metadata
  • Supporting machine learning feature extraction and dataset generation.

Wireless Experimentation Support

Assist in the design and execution of wireless experimentation events within the Open 6G Testbed.

Example experiment areas include:

  • Wireless interference injection scenarios
  • Spectrum sharing experiments
  • Rogue handset detection scenarios
  • Integrated sensing and communications (ISAC) experiments

Responsibilities include:

  • Experiment planning and system integration
  • Dataset generation and collection
  • Experiment documentation and reporting.

AI Model Deployment and Orchestration

Support deployment of an AI model lifecycle management framework integrated with wireless telemetry pipelines.

Responsibilities include:

  • Supporting model versioning and lifecycle management
  • Integrating machine learning models with wireless telemetry systems
  • Deploying distributed inference capabilities across network infrastructure

Supporting AI experimentation using structured wireless datasets.

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