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.
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.
Remote 5G Ran information
What is a Remote 5G RAN engineer?
A Remote 5G RAN (Radio Access Network) engineer is a telecommunications professional who designs, deploys, and manages 5G wireless network infrastructure from a remote location. Their responsibilities often include configuring network equipment, optimizing network performance, and troubleshooting issues to ensure seamless connectivity for users. They work with technologies such as base stations, antennas, and radio controllers, typically collaborating with on-site teams and using remote management tools. As demand for 5G coverage grows, remote RAN engineers play a crucial role in expanding and maintaining next-generation mobile networks.
What are some common challenges faced by Remote 5G RAN engineers, and how can these be addressed?
Remote 5G RAN engineers often encounter challenges related to troubleshooting network issues without direct on-site access, coordinating with geographically dispersed teams, and managing real-time performance monitoring. Effective communication skills, proficiency with remote diagnostic tools, and a strong understanding of network protocols are essential for overcoming these hurdles. Regular collaboration with local field engineers and ongoing training in the latest 5G technologies also help Remote 5G RAN engineers remain effective and responsive in their roles.
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Full-time
Posted 9 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.