Systems Engineer

MMB Solutions LLC•Dayton, OH

2d•Remote

About The Position

MMB Solutions is seeking a mid-career 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

Responsibilities

Design and implement systems that collect and process telemetry data from advanced wireless networks and sensing infrastructure.
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.
Support the development of a centralized wireless research data lake used to store and analyze large volumes of telemetry and experimentation data.
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.
Develop and support automated data enrichment pipelines to convert raw telemetry into AI-ready wireless datasets.
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.
Assist in the design and execution of wireless experimentation events within the Open 6G Testbed.
Experiment planning and system integration
Dataset generation and collection
Experiment documentation and reporting.
Support deployment of an AI model lifecycle management framework integrated with wireless telemetry pipelines.
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.