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Audio System Engineer Remote Jobs in Ohio (NOW HIRING)

This role is based in Dayton, Ohio with the possibility of remote work. Requirements U.S ... Developing telemetry schemas and system documentation for research datasets. Wireless Research Data ...

Leads advanced knowledge sharing and recommendations for system hardware/software solutions ... Remote Actions * Dashboards & Investigations * Campaigns & Alerts * Application Experience ...

... a Systems Sales Engineer. Spang Power Electronics is headquartered in Mentor, OH, with sites in ... This position offers remote work flexibility, provided you are located within approximately four ...

... a Systems Sales Engineer. Spang Power Electronics is headquartered in Mentor, OH, with sites in ... This position offers remote work flexibility, provided you are located within approximately four ...

... audio data, machine learning, and designing scalable systems. Our area of work is to enable fast ... The actual offer will be based on the individual candidate. #LI-MP2 #LI-REMOTE Basic Requirements

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Audio System Engineer Remote information

What is the difference between Audio System Engineer Remote vs Audio Equipment Technician?

AspectAudio System Engineer RemoteAudio Equipment Technician
CredentialsBachelor's in Audio Engineering or related field, certifications like CTS or CEDIATechnical diploma or certification in audio technology or electronics
Work EnvironmentRemote, project-based, collaborating with clients and teams onlineOn-site, installing, maintaining, and repairing audio equipment
Industry UsageBroadcast, live events, recording studios, AV integrationConcert venues, theaters, AV rental companies, installation services

Audio System Engineer Remote typically involves designing and managing audio systems remotely, focusing on planning and troubleshooting. In contrast, Audio Equipment Technicians work hands-on with equipment on-site, performing installation and repairs. Both roles require technical knowledge, but their work environments and daily tasks differ significantly.

What are the most commonly searched types of Audio System Engineer jobs in Ohio? The most popular types of Audio System Engineer jobs in Ohio are:
What are popular job titles related to Audio System Engineer Remote jobs in Ohio? For Audio System Engineer Remote jobs in Ohio, the most frequently searched job titles are:
What job categories do people searching Audio System Engineer Remote jobs in Ohio look for? The top searched job categories for Audio System Engineer Remote jobs in Ohio are:
What cities in Ohio are hiring for Audio System Engineer Remote jobs? Cities in Ohio with the most Audio System Engineer Remote job openings:

Systems Engineer

MMB Solutions LLC

Dayton, OH • On-site, Remote

Full-time

Posted 18 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.