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Remote 5G Core Network 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 ... Core network signaling (N1/N2/N3) * RRC signaling and RAN performance metrics * Supporting ...

TeleWorld Solutions Inc

Principal API Architect

... 5G network functions, capabilities, and telemetry to external services * Proven experience designing and implementing NEF, SCEF, and CAMARA APIs * Experience working with multiple 5G core OEMs (e.g ...

Rock County

Network Engineer I

Janesville, WI · Remote

$37.38 - $40.67/hr

Support core network services including circuit and fiber infrastructure, DNS, IP address management, web filtering, firewall systems, remote access, wireless networks, and routing and switching ...

New

Vantage Point Solutions

Network Engineer

Mitchell, SD · Remote

This full-time position, available remote or in-office, supports internet service providers and ... Design, implement, and optimize ISP and broadband network solutions across core, aggregation ...

Vantage Point

Network Engineer

Mitchell, SD · On-site +1

This full-time position, available remote or in-office, supports internet service providers and ... Design, implement, and optimize ISP and broadband network solutions across core, aggregation ...

Cognizant

Senior Network Engineer, Cisco SD-WAN

$106K - $145K/yr

... remote, and enterprise locations. • Architect advanced Cisco Catalyst SD-WAN and Viptela ... for SD-WAN and core network infrastructure. • Background supporting large-scale network ...

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How much do remote 5g core network jobs pay per hour?

As of Jul 10, 2026, the average hourly pay for remote 5g core network in the United States is $48.73, according to ZipRecruiter salary data. Most workers in this role earn between $36.78 and $62.50 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Remote 5G Core Network Engineer, and why are they important?

To excel as a Remote 5G Core Network Engineer, you need a strong background in telecommunications, network protocols, and a relevant degree in engineering or computer science. Familiarity with 5G core network architecture, virtualization tools (such as NFV/SDN), and certifications like CCNP or 5G-related credentials are highly valuable. Excellent problem-solving skills, attention to detail, and effective remote communication abilities set top performers apart. These competencies are crucial for ensuring seamless network operations, troubleshooting complex issues, and collaborating across distributed teams in a fast-evolving technology landscape.

What are Remote 5G Core Network jobs?

Remote 5G Core Network jobs involve designing, implementing, managing, and troubleshooting the core components of 5G mobile networks while working from a remote location. Professionals in these roles typically handle tasks such as network architecture, core network configuration, optimization, and security. They may work for telecom operators, equipment vendors, or consulting firms and require expertise in 5G technologies like 5GC, virtualization, and cloud-native principles. These jobs often demand strong knowledge of protocols such as HTTP/2, REST APIs, and network function virtualization (NFV). Remote roles allow individuals to collaborate with global teams and contribute to next-generation mobile infrastructure without being physically present at an office or data center.

What is the difference between Remote 5G Core Network vs Remote 4G LTE Network Engineer?

AspectRemote 5G Core NetworkRemote 4G LTE Network Engineer
Certifications5G-specific certifications, networking, cloud certificationsLTE, networking, Cisco certifications
Work EnvironmentTelecommunications, cloud platforms, network virtualizationTelecom providers, network operations centers
Industry Usage5G rollout, network modernizationLTE network maintenance, upgrades
Search Intent5G network design, deployment, optimizationLTE network troubleshooting, support

Remote 5G Core Network specialists focus on designing, deploying, and optimizing 5G networks, often involving cloud and virtualization technologies. In contrast, Remote 4G LTE Network Engineers primarily handle LTE network support, maintenance, and upgrades. While both roles require networking certifications and industry experience, their focus areas differ with 5G roles emphasizing newer technology deployment.

What are some common challenges faced when working remotely as a 5G Core Network engineer, and how can they be addressed?

One common challenge in a remote 5G Core Network engineering role is maintaining effective communication and coordination with cross-functional teams, as network issues often require quick, collaborative troubleshooting. Additionally, remote engineers may face difficulties in accessing specialized lab equipment or test environments. To address these challenges, organizations typically provide secure remote access to lab resources and use robust collaboration tools such as video conferencing and shared documentation platforms. Proactively scheduling regular check-ins and participating in virtual stand-ups can also help ensure alignment and timely resolution of network incidents.
More about Remote 5G Core Network jobs
What cities are hiring for Remote 5G Core Network jobs? Cities with the most Remote 5G Core Network job openings:
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Remote 5G Core Network jobs near you
Infographic showing various Remote 5G Core Network job openings in the United States as of July 2026, with employment types broken down into 100% Full Time. Highlights an 100% Remote job distribution, with an average salary of $101,366 per year, or $48.7 per hour.

Systems Engineer

MMB Solutions LLC

Dayton, OH • On-site, Remote

Full-time

Re-posted 10 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.

Apply