Systems Engineer

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.

• Bachelor's Degree in Electrical Engineering
• Bachelor's Degree in Computer Science
• Bachelor's Degree in Wireless Communications

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:
• 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.

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.

Develop and support automated data enrichment pipelines to convert raw telemetry into AI‑ready wireless datasets.

Responsibilities include:

• Implementing automated tagging and labeling pipelines
• Environmental sensors
• Supporting machine learning feature extraction and dataset generation.

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
• Integrated sensing and communications (ISAC) experiments

Responsibilities include:

• 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.

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.