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Embedded Ai Engineer Jobs in Ohio (NOW HIRING)

Collaborate with embedded software and firmware teams to deploy models on constrained edge devices ... engineering or advanced research in related fields. * 5+ years of experience in AI/ML development ...

Collaborate with embedded software and firmware teams to deploy models on constrained edge devices ... engineering or advanced research in related fields. * 5+ years of experience in AI/ML development ...

Senior AI Engineer

Cincinnati, OH · On-site

$102K - $140K/yr

They are seeking a Senior AI Engineer to design, implement, and deploy machine learning models ... possible that can be embedded into front-end applications; • Supervise the collection ...

Senior AI Engineer

Cincinnati, OH · On-site

$117K - $155K/yr

... and lead a team of AI Engineers. This professional will work collaboratively across the ... possible that can be embedded into front-end applications; * Supervise the collection ...

Senior AI Engineer

Cincinnati, OH · On-site

$117K - $155K/yr

... and lead a team of AI Engineers. This professional will work collaboratively across the ... possible that can be embedded into front-end applications; * Supervise the collection ...

As an Embedded Systems Platform Engineer based in Elyria, OH, you'll collaborate with Mechanical ... Define the strategy for AI-augmented firmware architectures, ensuring that system designs are ...

Senior Engineer Embedded Systems

Elyria, OH · On-site

$113K - $148K/yr

As a Senior Engineer, Embedded Systems, based in Elyria, OH, you'll collaborate with Mechanical ... Drive the adoption of Generative AI tools (such as GitHub Copilot or automated code review ...

Senior Engineer Embedded Systems

Elyria, OH · On-site

$113K - $148K/yr

As a Senior Engineer, Embedded Systems, based in Elyria, OH, you'll collaborate with Mechanical ... Drive the adoption of Generative AI tools (such as GitHub Copilot or automated code review ...

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Showing results 1-20

Embedded Ai Engineer information

See Ohio salary details

$66.5K

$145.8K

$165.4K

How much do embedded ai engineer jobs pay per year?

As of Jun 13, 2026, the average yearly pay for embedded ai engineer in Ohio is $145,821.00, according to ZipRecruiter salary data. Most workers in this role earn between $125,000.00 and $164,500.00 per year, depending on experience, location, and employer.

What is an Embedded AI Engineer?

An Embedded AI Engineer is a professional who designs, develops, and implements artificial intelligence (AI) algorithms and models directly onto embedded systems, such as microcontrollers or edge devices. Their work involves optimizing AI solutions to run efficiently on hardware with limited computing resources, power, and memory. They collaborate with hardware engineers and software developers to integrate machine learning, computer vision, or other AI functionalities into products like smart appliances, autonomous vehicles, or IoT devices. Their expertise helps bring intelligent features directly to devices, enabling real-time decision-making without needing constant cloud connectivity.

What is the difference between Embedded Ai Engineer vs Machine Learning Engineer?

CriteriaEmbedded Ai EngineerMachine Learning Engineer
Required CredentialsBachelor's in Electrical Engineering, Computer Science, or related; knowledge of embedded systemsBachelor's or Master's in Computer Science, Data Science, or related; strong programming skills
Work EnvironmentEmbedded systems, IoT devices, hardware integrationData centers, cloud platforms, software development environments
Employer & Industry UsageConsumer electronics, automotive, IoT companiesTech firms, startups, research institutions
Common Search & ComparisonYesNo

Embedded Ai Engineers focus on integrating AI algorithms into embedded hardware and IoT devices, requiring knowledge of hardware constraints and embedded programming. Machine Learning Engineers develop models primarily for software applications and data analysis. While both roles involve AI, Embedded Ai Engineers specialize in hardware-software integration within embedded systems, whereas Machine Learning Engineers work on developing and deploying AI models in software environments.

What are the key skills and qualifications needed to thrive as an Embedded AI Engineer, and why are they important?

To thrive as an Embedded AI Engineer, you need expertise in embedded systems, AI/ML algorithms, programming languages like C/C++ and Python, and typically a degree in computer engineering or a related field. Familiarity with development tools such as TensorFlow Lite, ONNX, embedded Linux, and microcontroller platforms is essential, along with experience deploying AI models on resource-constrained devices. Strong problem-solving, collaboration, and communication skills help you work effectively in multidisciplinary teams and address real-world challenges. These skills ensure efficient integration of AI into embedded systems, enabling innovative, high-performance solutions for edge computing.

How does an Embedded AI Engineer typically collaborate with hardware and software teams during a project?

Embedded AI Engineers work closely with both hardware and software teams to ensure AI models are efficiently integrated into resource-constrained devices. They often collaborate with hardware engineers to optimize model performance based on device limitations like memory and processing power. At the same time, they coordinate with software developers to design efficient firmware and manage data pipelines. Regular cross-functional meetings and code reviews are common to address integration challenges and maintain alignment throughout the project lifecycle.
What are popular job titles related to Embedded Ai Engineer jobs in Ohio? For Embedded Ai Engineer jobs in Ohio, the most frequently searched job titles are:
What job categories do people searching Embedded Ai Engineer jobs in Ohio look for? The top searched job categories for Embedded Ai Engineer jobs in Ohio are:
What cities in Ohio are hiring for Embedded Ai Engineer jobs? Cities in Ohio with the most Embedded Ai Engineer job openings:
Infographic showing various Embedded Ai Engineer job openings in Ohio as of June 2026, with employment types broken down into 92% Full Time, 4% Part Time, and 4% Contract. Highlights an 87% Physical, 5% Hybrid, and 8% Remote job distribution, with an average salary of $145,821 per year, or $70.1 per hour.
Principal AI Engineer

Principal AI Engineer

Vertiv Group Corp.

Delaware, OH • On-site

Full-time

Posted 11 days ago


Vertiv rating

6.9

Company rating: 6.9 out of 10

Based on 60 frontline employees who took The Breakroom Quiz

305th of 417 rated machine equipment manufacturers


Job description

Job Description
POSITION SUMMARY
We are seeking a Principal AI Engineer (computer engineering or electrical engineering background) with a strong product-development foundation to lead AI initiatives that accelerate time-to-market, improve engineering efficiency, and enable AI-driven product capabilities. This role spans five product lines within the IT Rack Infrastructure domain and supports AI efforts across sustaining engineering, New Product Development and Introduction (NPDI), and forward-looking blue-sky research. The ideal candidate combines deep technical credibility in real-world product development with a creative, research-oriented mindset to explore breakthrough AI methods and technologies that can redefine both engineering processes and products.
RESPONSIBILITIES
  • Lead and explore AI-related research and emerging AI-technologies focused on IT Rack Infrastructure products (1PH UPS, rack-based power distribution units, KVM and Serial devices, mechanical racks).
  • Define the AI/ML architecture and technology roadmap for the IT Systems Business Unit.
  • Identify high-value AI use cases across single-phase UPS, rack PDU, KVM/Serial, racks, and integrated solutions.
  • Drive alignment of AI initiatives with product-line strategies and long-term business goals.
  • Lead feasibility studies, prototypes, and proof-of-concept developments.
  • Ensure AI/ML model's robustness, performance, explainability, and lifecycle management.
  • Lead AI initiatives for improving our NPDI process time-to-market and engineering efficiency.
  • Work with engineering leaders across product lines to define technological needs and feasibility.
  • Collaborate with embedded software and firmware teams to deploy models on constrained edge devices and real-time systems.
  • Define requirements for data acquisition, signal conditioning, and model inference hardware/software.
  • Establish practices for data collection, preprocessing, labeling, and governance.
  • Implement Machine Learning Operations (MLOps) frameworks for continuous integration, testing, versioning, and monitoring of AI models.
  • Develop prototype methods, models, and simulations to validate new ideas and support technology feasibility studies.
  • Collaborate closely with cross-functional teams, including product development, engineering, and infrastructure teams, to ensure alignment of research objectives with overall company vision and market trends.
  • Publish technical papers, file patents, and present findings to internal stakeholders and external audiences, contributing to the organization's knowledge base and thought leadership.
  • Identify and collaborate with external research institutions, industry partners, and academic organizations to leverage additional expertise and insights.
  • Engage with standards bodies, and technology partners.
  • Mentor and guide junior engineers, fostering a culture of curiosity, creativity, and technical excellence within the team.

REQUIRED QUALIFICATIONS
  • Master's degree or PhD in Electrical Engineering, Computer Engineering, or related technical field.
  • 10+ years of experience computer engineering or electrical engineering or advanced research in related fields.
  • 5+ years of experience in AI/ML development, applied machine learning, embedded systems and advanced analytics.
  • Strong proficiency in:
    • Python, ML frameworks (TensorFlow, PyTorch, scikit-learn)
    • Data engineering and MLOps tools
    • Model validation, testing, and deployment practices
  • Experience deploying AI/ML models in embedded systems, cloud platforms, or distributed systems.
  • Ability to provide technical leadership and drive cross-functional initiatives.
  • Familiarity with IT rack systems and infrastructure components is a plus.
  • Demonstrated ability to conceptualize and validate transformative ideas in mechanical design and materials applications.
  • Strong communication and presentation skills.
  • Ability to work both independently and collaboratively, engaging with cross-functional teams and external partners effectively.

PREFERRED QUALIFICATIONS
  • Experience in energy technologies, IoT, or industrial/embedded products.
  • Knowledge of digital twins, simulation environments, or control systems.
  • Familiarity with edge AI inference frameworks and optimized runtime environments.
  • Track record of patents, high quality research/publications, or technical presentations.
  • Having research articles in ICML, ICLR or L4DC conferences is a plus

KEY COMPETENCIES
  • Strong systems thinking and problem-solving ability
  • Technical leadership and communication
  • Strategic planning and innovation mindset
  • Ability to navigate complex, cross-functional organizations
  • Focus on scalability, reliability, and productization

PHYSICAL & ENVIRONMENTAL DEMANDS
  • Office and lab environment. Must be comfortable working in a lab performing or guiding experiments.

TRAVEL REQUIRED
  • 10%

#LI-RB1
About Us
The successful candidate will embrace Vertiv's Core Principals & Behaviors to help execute our Strategic Priorities.
OUR CORE PRINCIPALS: Safety. Integrity. Respect. Teamwork. Diversity & Inclusion.
OUR STRATEGIC PRIORITIES
  • Customer Focus
  • Operational Excellence
  • High-Performance Culture
  • Innovation
  • Financial Strength

OUR BEHAVIORS
  • Own It
  • Act With Urgency
  • Foster a Customer-First Mindset
  • Think Big and Execute
  • Lead by Example
  • Drive Continuous Improvement
  • Learn and Seek Out Development

At Vertiv, we offer the stability of a global leader in a growing industry and the opportunity of a startup. We design, manufacture and service the mission-critical infrastructure technologies for vital applications in data centers, communication networks and commercial and industrial environments. With $5 billion in sales, a strong customer base and global reach in nearly 70 countries, our move to establish a standalone business enables us to deliver greater value to our customers and create new opportunities for our people.
Vertiv is an Equal Opportunity/Affirmative Action employer. We promote equal opportunities for all with respect to hiring, terms of employment, mobility, training, compensation, and occupational health, without discrimination as to age, race, color, religion, creed, sex, pregnancy status (including childbirth, breastfeeding, or related medical conditions), marital status, sexual orientation, gender identity / expression (including transgender status or sexual stereotypes), genetic information, citizenship status, national origin, protected veteran status, political affiliation, or disability. If you have a disability and are having difficulty accessing or using this website to apply for a position, you can request help by sending an email to help.join@vertivco.com. If you are interested in applying or learning more about this role, please visit the company's career page located on Vertiv.com/Careers
Work Authorization
No calls or agencies please. Vertiv will only employ those who are legally authorized to work in the United States. This is not a position for which sponsorship will be provided. Individuals with temporary visas such as E, F-1, H-1, H-2, L, B, J, or TN or who need sponsorship for work authorization now or in the future, are not eligible for hire.
About the Team
Work Authorization
No calls or agencies please. Vertiv will only employ those who are legally authorized to work in the United States. This is not a position for which sponsorship will be provided. Individuals with temporary visas such as E, F-1, H-1, H-2, L, B, J, or TN or who need sponsorship for work authorization now or in the future, are not eligible for hire.
Equal Opportunity Employer
We promote equal opportunities for all with respect to hiring, terms of employment, mobility, training, compensation, and occupational health, without discrimination as to age, race, color, religion, creed, sex, pregnancy status (including childbirth, breastfeeding, or related medical conditions), marital status, sexual orientation, gender identity / expression (including transgender status or sexual stereotypes), genetic information, citizenship status, national origin, protected veteran status, political affiliation, or disability.

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