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Remote Nokia Ran Engineer Jobs in Ohio (NOW HIRING)

This role is based in Dayton, Ohio with the possibility of remote work. Requirements U.S ... O-RAN E2 interfaces * F1 interfaces * Core network signaling (N1/N2/N3) * RRC signaling and RAN ...

Remote Nokia Ran Engineer information

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

To thrive as a Remote Nokia RAN Engineer, you need expertise in radio access network (RAN) technologies, a solid understanding of cellular communication (2G/3G/4G/5G), and typically an engineering degree in telecommunications or a related field. Familiarity with Nokia RAN equipment, network management tools like NetAct, and relevant certifications such as Nokia NRS I/II are often required. Strong analytical skills, effective communication, and the ability to resolve technical issues remotely are critical soft skills. These skills ensure efficient network performance, minimize downtime, and support seamless connectivity for service providers and users.

What are some common challenges faced by Remote Nokia RAN Engineers, and how can they be addressed?

Remote Nokia RAN Engineers often encounter challenges like troubleshooting network issues without on-site access, managing multiple remote sites, and staying up-to-date with evolving Nokia technologies. These challenges can be addressed by leveraging advanced remote access tools, maintaining strong documentation, and participating in continuous professional development and training on Nokia RAN solutions. Effective communication with on-site teams and other remote engineers is also crucial to ensure smooth operations and quick problem resolution.

What is a Remote Nokia RAN Engineer?

A Remote Nokia RAN (Radio Access Network) Engineer is a telecommunications professional who specializes in configuring, optimizing, and maintaining Nokia's RAN equipment and software from a remote location. Their primary responsibilities include monitoring network performance, troubleshooting issues, implementing upgrades, and ensuring seamless connectivity for mobile networks. These engineers work with Nokia-specific technologies such as LTE, 5G, and associated network management tools. By working remotely, they support mobile operators and service providers in maintaining high network reliability and performance without being onsite.

What is the difference between Remote Nokia Ran Engineer vs Remote 5G Network Engineer?

AspectRemote Nokia Ran EngineerRemote 5G Network Engineer
Certifications Nokia certifications, CCNA, Cisco certificationsFCC, Cisco, Nokia certifications, 5G-specific training
Work Environment Telecom sites, network operation centers, remote troubleshooting 5G infrastructure, telecom sites, remote network design
Industry Usage Telecom operators, network service providers Telecom, mobile network providers, 5G technology firms

Remote Nokia Ran Engineers focus on LTE and 4G network deployment and maintenance, while Remote 5G Network Engineers specialize in 5G infrastructure and technology. Both roles require telecom certifications and involve remote troubleshooting, but 5G roles emphasize newer technology and higher bandwidth networks.

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Systems Engineer

MMB Solutions LLC

Dayton, OH • On-site, Remote

Full-time

Posted 26 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.