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.RequirementsBachelor's Degree in Electrical EngineeringBachelor's Degree in Computer ScienceBachelor's Degree in Wireless CommunicationsKey ResponsibilitiesWireless Telemetry ArchitectureDesign 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 environmentsIntegrating telemetry from multiple wireless interfaces including:O-RAN E2 interfacesF1 interfacesCore network signaling (N1/N2/N3)RRC signaling and RAN performance metricsSupporting ingestion of telemetry sources such as:Spectrum observationsNetwork performance countersDeveloping telemetry schemas and system documentation for research datasets.Wireless Research Data InfrastructureSupport 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 pipelinesSupporting schema enforcement and structured dataset managementDeveloping indexing and query capabilities for telemetry datasetsIntegrating telemetry sources into research analytics environmentsSupporting data lifecycle management for wireless experimentation datasets.Data Enrichment and Machine Learning IntegrationDevelop and support automated data enrichment pipelines to convert raw telemetry into AI‑ready wireless datasets.Responsibilities include:Implementing automated tagging and labeling pipelinesEnvironmental sensorsSupporting machine learning feature extraction and dataset generation.Wireless Experimentation SupportAssist in the design and execution of wireless experimentation events within the Open 6G Testbed.Example experiment areas include:Wireless interference injection scenariosSpectrum sharing experimentsIntegrated sensing and communications (ISAC) experimentsResponsibilities include:Experiment planning and system integrationDataset generation and collectionExperiment documentation and reporting.AI Model Deployment and OrchestrationSupport deployment of an AI model lifecycle management framework integrated with wireless telemetry pipelines.Responsibilities include:Supporting model versioning and lifecycle managementIntegrating machine learning models with wireless telemetry systemsDeploying distributed inference capabilities across network infrastructureSupporting AI experimentation using structured wireless datasets.#J-18808-Ljbffr