1

Intern Distributed Systems Engineer Jobs in Ohio

Systems Engineer

Dayton, OH ยท On-site

$135K - $180K/yr

MMB Solutions is seeking a mid-level Systems Engineer to support the design, development, and ... Deploying distributed inference capabilities across network infrastructure Supporting AI ...

Systems Engineer

Dayton, OH ยท On-site +1

MMB Solutions is seeking a mid-level Systems Engineer to support the design, development, and ... Deploying distributed inference capabilities across network infrastructure Supporting AI ...

The Systems Engineer is responsible for designing, administering, securing, and continuously ... Support large, distributed environments with a focus on automation, standardization, software ...

The Systems Engineer is responsible for designing, administering, securing, and continuously ... Support large, distributed environments with a focus on automation, standardization, software ...

The Power Systems Engineer designs, integrates, and supports complex electrical power, controls ... Experience with electrical power distribution systems and power system design, including ...

... distributed teams via clear written and verbal communication. Experience managing servers ... programming in scripting languages, and administering Linux systems is required. Responsibilities ...

Systems Architect

Dayton, OH ยท On-site

$236K/yr

Strong knowledge of systems engineering methodologies, enterprise architecture principles, and distributed systems design * Experience supporting cloud technologies, infrastructure modernization ...

next page

Showing results 1-20

Intern Distributed Systems Engineer information

What are the key skills and qualifications needed to thrive as an Intern Distributed Systems Engineer, and why are they important?

To thrive as an Intern Distributed Systems Engineer, you typically need a strong background in computer science fundamentals, programming (often in languages like Java, C++, or Go), and an understanding of distributed computing concepts. Familiarity with technical tools such as Docker, Kubernetes, cloud platforms (AWS, GCP, Azure), and version control systems like Git is commonly expected. Strong analytical thinking, effective communication, and a willingness to learn make candidates stand out in this role. These skills and qualities are crucial for solving complex distributed problems, collaborating with teams, and adapting to rapidly evolving technology environments.

What is the difference between Intern Distributed Systems Engineer vs Intern Software Engineer?

AspectIntern Distributed Systems EngineerIntern Software Engineer
Required CredentialsTypically pursuing a degree in Computer Science or related field, familiarity with distributed systems conceptsSimilar educational background, focus on general software development skills
Work EnvironmentFocus on designing, implementing, and testing distributed systems and networked applicationsDeveloping various software applications, often in different domains
Employer & Industry UsageUsed in tech companies working on cloud, big data, or scalable systemsCommon across many industries including tech, finance, and startups
Search & Comparison IntentPeople comparing internship roles in distributed systems and software development

Intern Distributed Systems Engineers focus on distributed architectures and networked systems, while Intern Software Engineers work on a broader range of software projects. Both roles require similar educational backgrounds but differ in specific technical focus and project types.

What types of projects and tasks can an Intern Distributed Systems Engineer expect to work on, and how does this support their learning and growth?

As an Intern Distributed Systems Engineer, you can expect to work on collaborative projects involving the design, implementation, and testing of scalable, fault-tolerant systems. Your tasks may include optimizing data pipelines, contributing to microservices architecture, or participating in performance benchmarking. Interns often work closely with senior engineers, gaining exposure to cutting-edge technologies such as cloud platforms, container orchestration, and distributed databases. This hands-on experience, combined with mentorship and code reviews, provides valuable insights into best practices and industry standards, supporting both your technical and professional growth.

What does an Intern Distributed Systems Engineer do?

An Intern Distributed Systems Engineer assists in designing, developing, and maintaining large-scale distributed systems that enable applications to run reliably across multiple computers. Their work often involves writing and testing code, debugging issues, and collaborating with experienced engineers to solve technical challenges related to scalability, efficiency, and data consistency. Interns may also help with system monitoring and performance analysis, learning best practices for building robust and fault-tolerant systems. This role is a valuable opportunity to gain hands-on experience with cutting-edge technologies and real-world distributed computing problems.
What are the most commonly searched types of Distributed Systems Engineer jobs in Ohio? The most popular types of Distributed Systems Engineer jobs in Ohio are:
What are popular job titles related to Intern Distributed Systems Engineer jobs in Ohio? For Intern Distributed Systems Engineer jobs in Ohio, the most frequently searched job titles are:
What job categories do people searching Intern Distributed Systems Engineer jobs in Ohio look for? The top searched job categories for Intern Distributed Systems Engineer jobs in Ohio are:

Systems Engineer

MMB Solutions LLC

Dayton, OH โ€ข On-site

$135K - $180K/yr

Full-time

Re-posted 12 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.