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Remote Computer Engineering Student Jobs in Ohio

Systems Engineer

Dayton, OH ยท On-site +1

... of remote work. Requirements U.S. Citizenship Bachelors' Degree in one of the following: * Electrical Engeering * Computer Science * Systems Engineering * Computer Engineering * Wireless ...

These hours outside typical business hours are remote Requirements Education & Certifications * Bachelor's degree in Computer Science, Computer Engineering, Information Technology, or a related field.

AI/ML Engineer Co-Op

Cincinnati, OH ยท On-site +1

$16 - $21/hr

NLign has a long history of working with co-op and intern students to help them achieve their ... Preferred fields include Computer Science, Computer Engineering, or equivalent. * Strong oral and ...

... programming concepts. Guides students through implementing linked lists, trees, and graphs ... Familiar with college computer science curricula and common challenges such as understanding ...

Moody Engineering is seeking experienced, growth-minded Civil CAD Engineers/Designers to join our ... We offer flexible remote work and exceptional benefits! What You'll Do * Develop detailed plans and ...

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Remote Computer Engineering Student information

What are remote computer engineering students?

Remote computer engineering students are individuals who are pursuing a degree or taking courses in computer engineering through online or distance-learning programs. These students complete their coursework, projects, and sometimes even labs entirely online, allowing them to study from anywhere with an internet connection. This flexibility can help students balance their education with work or personal commitments, and opens up access to programs that may not be available locally. Remote learners often use video lectures, virtual labs, and online collaboration tools to interact with instructors and classmates.

How do remote computer engineering students effectively collaborate with team members and instructors during group projects?

Remote computer engineering students typically use collaboration tools such as version control systems (like Git), video conferencing platforms, and shared document editors to work together on group projects. Regular virtual meetings and clear communication channels are essential for staying aligned and addressing challenges quickly. Many programs encourage students to adopt agile methodologies, assigning roles and setting milestones to maintain project momentum. Building strong digital communication skills and proactively reaching out to peers and instructors are key to ensuring successful teamwork in a remote setting.

What is the difference between Remote Computer Engineering Student vs Remote Software Developer?

AspectRemote Computer Engineering StudentRemote Software Developer
Required CredentialsEnrolled in a computer engineering program, some internships or certificationsProven coding skills, relevant certifications, portfolio
Work EnvironmentLearning-focused, often part-time or internship-basedFull-time or freelance projects, collaborative teams
Employer & Industry UsageEducational institutions, tech startups, internshipsTech companies, startups, freelance platforms

Remote Computer Engineering Students are typically in educational programs gaining foundational knowledge, often working on internships or projects. Remote Software Developers are experienced coders working on real-world projects, often full-time. While both roles involve programming, students focus on learning, whereas developers focus on delivering software solutions.

What are the key skills and qualifications needed to thrive as a Remote Computer Engineering Student, and why are they important?

To thrive as a Remote Computer Engineering Student, you need a solid understanding of programming, mathematics, and computer systems, typically supported by enrollment in a computer engineering degree program. Familiarity with collaboration tools (like GitHub, Zoom), coding languages (such as Python, C++), and access to virtual lab environments is essential. Strong self-motivation, time management, and effective online communication are standout soft skills for remote learning. These skills and qualities are crucial for managing coursework independently, collaborating remotely, and successfully completing complex engineering projects.
What are the most commonly searched types of Computer Engineering Student jobs in Ohio? The most popular types of Computer Engineering Student jobs in Ohio are:
What cities in Ohio are hiring for Remote Computer Engineering Student jobs? Cities in Ohio with the most Remote Computer Engineering Student job openings:

Systems Engineer

MMB Solutions LLC

Dayton, OH โ€ข On-site, Remote

Full-time

Posted 19 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.