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Geospatial Software Engineer Jobs in Ohio (NOW HIRING)

The Systems Engineer will collaborate with software engineers, RF engineers, and data scientists to ... Geospatial positioning systems * Experiment scenario metadata * Supporting machine learning feature ...

Systems Engineer, Senior

Dayton, OH · Hybrid

$98K - $135K/yr

... Geospatial Intelligence (GEOINT), Measurement and Signature Intelligence (MASINT), and Foreign ... Experience with hardware, software, binary data structures, networking topology and network ...

Systems Engineer, Senior

Dayton, OH · On-site

$98K - $135K/yr

... Geospatial Intelligence (GEOINT), Measurement and Signature Intelligence (MASINT), and Foreign ... Experience with hardware, software, binary data structures, networking topology and network ...

Senior Space Imagery Scientist

Dayton, OH · On-site

$88K - $121K/yr

... software programming, artificial intelligence, machine learning, analysis, policy, or planning ... Geo Owl is a premier provider of geospatial intelligence services, delivering cutting-edge ...

$106K - $145K/yr

... Science, Software Programming, Artificial Intelligence, Machine Learning, Analysis, Policy or ... Geo Owl is a premier provider of geospatial intelligence services, delivering cutting-edge ...

... the geospatial technology sector. • Experience designing and implementing GIS software • ... to lead teams of software developers, GIS analysts, and junior architects on large, multi ...

Physical and Spatial AI Engineer III

Cleveland, OH · On-site

$55.75 - $75/hr

... geospatial, or platform services * Experience aligned to NVIDIA and/or Google Cloud Platform ... Advanced degree in Engineering, Computer Science, Robotics, Industrial Systems, or a related ...

Physical and Spatial AI Engineer III

Dayton, OH · On-site

$56 - $75/hr

... geospatial, or platform services * Experience aligned to NVIDIA and/or Google Cloud Platform ... Advanced degree in Engineering, Computer Science, Robotics, Industrial Systems, or a related ...

Physical and Spatial AI Engineer III

Cincinnati, OH · On-site

$55.25 - $74/hr

... geospatial, or platform services * Experience aligned to NVIDIA and/or Google Cloud Platform ... Advanced degree in Engineering, Computer Science, Robotics, Industrial Systems, or a related ...

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Geospatial Software Engineer information

What are the key skills and qualifications needed to thrive in the Geospatial Software Engineer position, and why are they important?

To thrive as a Geospatial Software Engineer, you need strong programming skills (such as Python, Java, or C++), knowledge of GIS principles, spatial databases, and a degree in computer science, geography, or a related field. Familiarity with tools like ArcGIS, QGIS, PostGIS, and relevant certifications (e.g., Esri Technical Certification) are highly valued. Problem-solving ability, attention to detail, and effective communication are crucial soft skills in this role. These qualifications ensure accurate spatial analysis, efficient development of geospatial applications, and successful collaboration with multidisciplinary teams.

What does a Geospatial Software Engineer do?

A Geospatial Software Engineer develops, maintains, and optimizes software that processes and analyzes geographic data. They work with GIS (Geographic Information Systems), mapping technologies, and spatial databases to build applications for industries like urban planning, environmental science, and logistics. Their role often involves programming, data visualization, and integrating geospatial tools with cloud or web-based platforms. They typically use languages like Python, JavaScript, or C++ and frameworks such as GDAL, PostGIS, or Mapbox.

What are the typical projects or tasks Geospatial Software Engineers work on?

Geospatial Software Engineers commonly work on projects such as developing mapping applications, processing and visualizing spatial data, building location-based services, and integrating geographic data into larger software platforms. Daily tasks may include writing code for spatial data analysis, optimizing database queries, collaborating with GIS analysts and data scientists, and maintaining or improving geospatial data pipelines. Engineers often work in multidisciplinary teams and are involved in both the design and implementation phases of projects. This diverse work helps them gain experience across a wide range of industries, such as urban planning, environmental science, transportation, and defense, offering strong opportunities for career growth.

What job categories do people searching Geospatial Software Engineer jobs in Ohio look for? The top searched job categories for Geospatial Software Engineer jobs in Ohio are:
Infographic showing various Geospatial Software Engineer job openings in Ohio as of June 2026, with employment types broken down into 86% Full Time, 6% Part Time, and 8% Contract. Highlights an 94% In-person, 3% Hybrid, and 3% Remote job distribution.

Systems Engineer

MMB Solutions LLC

Dayton, OH • On-site, Remote

Full-time

Posted 22 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.