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Remote Hardware Engineer Jobs in Ohio (NOW HIRING)

Rackner

AI/ML Engineer (Active TS/SCI )

Dayton, OH · On-site +1

Dayton, OH and Remote Employment Type: Full-Time Clearance requirements: TS/SCI About the Role Rackner is seeking a highly skilled AI/ML Engineer to design, develop, and deploy advanced machine ...

Rackner

AI/ML Engineer (Active TS/SCI )

Dayton, OH · On-site +1

Dayton, OH and Remote Employment Type: Full-Time Clearance requirements: TS/SCI About the Role Rackner is seeking a highly skilled AI/ML Engineer to design, develop, and deploy advanced machine ...

RCS Staffing

Mid-Level Analytical Engineer

Akron, OH · On-site +1

This is a full-time direct-hire Office Based/Remote assignment with our client. This position ... Overview of YOUR role as an Analytical Engineer (Mid Level) The Mid-Level Analytical Engineer ...

Advantech USA

Sr. Electrical Engineer

Cincinnati, OH · On-site +1

$100K - $120K/yr

Advantech's Engineering Design Centers (EDC) are seeking a senior-level electrical design engineer ... The right candidate brings deep hardware design experience, strong project management instincts ...

Cardinal Health

Software Engineer

Columbus, OH · Remote

Demonstrate general understanding of hardware/software platforms including but not limited to ... Remote Candidates who are back-to-work, people with disabilities, without a college degree, and ...

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All JobsRemote Hardware Engineer JobsRemote Hardware Engineer Jobs in Ohio

Remote Hardware Engineer information

See Ohio salary details

$48.5K

$139K

$186.8K

How much do remote hardware engineer jobs pay per year?

As of Jun 13, 2026, the average yearly pay for remote hardware engineer in Ohio is $139,021.00, according to ZipRecruiter salary data. Most workers in this role earn between $117,400.00 and $155,000.00 per year, depending on experience, location, and employer.

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

To thrive as a Remote Hardware Engineer, you need a solid background in electrical engineering, circuit design, and troubleshooting, often supported by a relevant engineering degree. Familiarity with CAD tools (such as Altium Designer or OrCAD), simulation software, and industry certifications like Professional Engineer (PE) credentials are highly valued. Strong communication, self-motivation, and the ability to collaborate virtually with global teams are essential soft skills. These capabilities are critical for effectively developing, testing, and refining hardware solutions while maintaining productivity in a remote setting.

What are some challenges Remote Hardware Engineers commonly face when working outside a traditional lab environment?

Remote Hardware Engineers often encounter challenges such as limited access to physical equipment and testing facilities, which can slow prototyping and troubleshooting processes. To overcome this, companies may provide advanced simulation tools, remote desktop access to lab resources, or occasionally require periodic on-site visits for critical testing phases. Adaptability and creative problem-solving are crucial when addressing real-time hardware issues remotely. Additionally, clear communication with team members and other departments ensures that project milestones are met and technical hurdles are efficiently resolved.

What is a Remote Hardware Engineer job?

A Remote Hardware Engineer is responsible for designing, developing, and testing hardware components such as circuit boards, processors, and embedded systems while working remotely. They collaborate with electrical and software engineers to ensure seamless integration of hardware and software. Using tools like CAD software and simulation programs, they prototype and refine designs. Remote Hardware Engineers communicate through virtual meetings and project management tools to stay aligned with team objectives. Their role requires strong problem-solving skills and the ability to work independently while maintaining coordination with the team.

What are the most commonly searched types of Hardware Engineer jobs in Ohio? The most popular types of Hardware Engineer jobs in Ohio are:
What are popular job titles related to Remote Hardware Engineer jobs in Ohio? For Remote Hardware Engineer jobs in Ohio, the most frequently searched job titles are:
What job categories do people searching Remote Hardware Engineer jobs in Ohio look for? The top searched job categories for Remote Hardware Engineer jobs in Ohio are:
What cities in Ohio are hiring for Remote Hardware Engineer jobs? Cities in Ohio with the most Remote Hardware Engineer job openings:
Remote Hardware Engineer jobs near you
Infographic showing various Remote Hardware Engineer job openings in Ohio as of June 2026, with employment types broken down into 72% Full Time, and 28% Contract. Highlights an 100% Remote job distribution, with an average salary of $139,021 per year, or $66.8 per hour.
AI/ML Engineer (Active TS/SCI )

AI/ML Engineer (Active TS/SCI )

Rackner

Dayton, OH • On-site, Remote

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 25 days ago

Job description

Job Title: AI/ML Engineer

Location: Dayton, OH and Remote
Employment Type: Full-Time

Clearance requirements: TS/SCI

About the Role

Rackner is seeking a highly skilled AI/ML Engineer to design, develop, and deploy advanced machine learning solutions that support mission-critical systems. This role will focus on building scalable models, developing training pipelines, and collaborating with cross-functional teams to deliver impactful AI-driven solutions.

Key Responsibilities

  • Design, develop, and implement machine learning and deep learning models
  • Build and optimize model architectures including CNNs, RNNs, and transformer-based models
  • Develop and deploy Large Language Models (LLMs) and object detection systems (e.g., YOLO, Faster R-CNN)
  • Perform feature engineering and prepare high-quality datasets for training and evaluation
  • Create and maintain AI/ML training runbooks and documentation
  • Collaborate with data engineers and software teams to integrate models into production systems
  • Ensure reproducibility through data versioning and metadata standards
  • Continuously evaluate and improve model performance and scalability

Required Qualifications

  • Strong proficiency in designing and implementing model architectures, including:
    • Convolutional Neural Networks (CNNs)
    • Recurrent Neural Networks (RNNs)
    • Transformer-based architectures
    • Large Language Models (LLMs)
    • Object Detection models (e.g., YOLO, Faster R-CNN)
  • Hands-on experience with:
    • PyTorch and/or TensorFlow
    • Hugging Face, Ollama, or similar frameworks
  • Experience with data engineering concepts, including:
    • Feature engineering and dataset preparation
    • Data versioning tools (e.g., lakeFS)
    • Metadata standards such as STAC
  • Ability to create clear and effective AI/ML training runbooks
  • Strong problem-solving skills and ability to work in a collaborative environment

Preferred Qualifications

  • Experience deploying models in cloud-native environments
  • Familiarity with DevSecOps practices
  • Experience working with large-scale or federal datasets
  • Understanding of MLOps principles and pipelines

Benefits & Perks

  • Weekly pay with full remote flexibility
  • Professional growth investment, including paid certifications and training
  • Comprehensive benefits package, including:
    • Medical, dental, and vision coverage
    • 401(k) with 100% company match up to 6%
    • Paid time off (PTO)
    • Life and disability insurance
    • Home office equipment plan
  • A supportive, inclusive team culture focused on collaboration, trust, and mission impact

About Rackner

Rackner is a cloud-native software consultancy delivering solutions for startups, enterprises, and the public sector.

We enable digital transformation through DevSecOps, AI/ML, and cloud-first innovation.

Our teams solve high-impact problems that advance federal missions and strengthen national readiness.

Join us to help shape the future of secure, scalable data systems supporting mission success.