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Remote Associate System Engineer Jobs in Ohio (NOW HIRING)

Systems Engineer

Dayton, OH ยท On-site +1

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 ...

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Remote Associate System Engineer information

What is a Remote Associate System Engineer?

A Remote Associate System Engineer is an entry-level IT professional who assists in the design, implementation, maintenance, and troubleshooting of computer systems and networks, all while working from a remote location. They typically work under the guidance of senior engineers to ensure that system operations run smoothly and securely. Common responsibilities include monitoring system performance, resolving technical issues, installing software updates, and assisting with system upgrades. This role is ideal for those who have a foundational understanding of IT systems and enjoy problem-solving in a collaborative, virtual environment.

What are some common challenges faced by Remote Associate System Engineers, and how can they be overcome?

Remote Associate System Engineers often encounter challenges related to communication and troubleshooting without physical access to hardware. To overcome these, it's important to develop strong written and verbal communication skills, utilize remote desktop tools effectively, and document issues thoroughly. Proactively engaging with team members through regular virtual meetings and leveraging collaboration platforms can also help ensure smooth coordination and knowledge sharing. Staying organized and responsive is key to maintaining productivity and building trust within a remote team environment.

What is the difference between Remote Associate System Engineer vs Remote Network Support Specialist?

AspectRemote Associate System EngineerRemote Network Support Specialist
Required CertificationsCompTIA Network+, Cisco CCNA, Microsoft certificationsCompTIA Network+, Cisco CCNA, CompTIA Security+
Work EnvironmentIT teams, system administration, technical supportNetwork troubleshooting, infrastructure support, customer assistance
Employer & Industry UsageTech companies, IT service providers, enterprise environmentsInternet service providers, telecom companies, corporate IT support

The Remote Associate System Engineer and Remote Network Support Specialist roles share similar certifications and work environments, often within IT and tech industries. While the System Engineer focuses on system architecture and integration, the Network Support Specialist emphasizes network troubleshooting and infrastructure. Both roles are essential in maintaining IT operations remotely, but they target different technical areas.

What are the key skills and qualifications needed to thrive as a Remote Associate System Engineer, and why are they important?

To thrive as a Remote Associate System Engineer, you need a strong background in computer science or IT, knowledge of operating systems, networking fundamentals, and a relevant degree or certification such as CompTIA Network+ or Microsoft Certified: Azure Fundamentals. Familiarity with tools like remote desktop software, ticketing systems, cloud platforms, and basic scripting languages is often required. Strong problem-solving abilities, effective communication, and self-motivation are crucial soft skills for success in a remote environment. These competencies enable efficient system troubleshooting, collaboration with distributed teams, and reliable support of IT infrastructure in a virtual setting.
What are popular job titles related to Remote Associate System Engineer jobs in Ohio? For Remote Associate System Engineer jobs in Ohio, the most frequently searched job titles are:
What cities in Ohio are hiring for Remote Associate System Engineer jobs? Cities in Ohio with the most Remote Associate System Engineer job openings:

Systems Engineer

MMB Solutions LLC

Dayton, OH โ€ข On-site, Remote

Full-time

Re-posted 8 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.ย ย 

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.