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Embedded Machine Learning Jobs in Ohio (NOW HIRING)

LER TechForce LLC

Computer Vision Engineer

Raymond, OH · On-site

$108K - $127K/yr

Minimum Experience: 2+ years' experience in manufacturing equipment controls, network design, embedded systems, machine learning and/or data engineering with a focus on the automotive industry

LER TechForce

Computer Vision Engineer

Raymond, OH · On-site

$108K - $127K/yr

Minimum Experience: 2+ years' experience in manufacturing equipment controls, network design, embedded systems, machine learning and/or data engineering with a focus on the automotive industry

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All JobsEmbedded Machine Learning JobsEmbedded Machine Learning Jobs in Ohio

Embedded Machine Learning information

See Ohio salary details

$66.5K

$145.8K

$165.4K

How much do embedded machine learning jobs pay per year?

As of Jun 24, 2026, the average yearly pay for embedded machine learning 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.

Will AI replace embedded programmers?

Embedded machine learning involves developing algorithms for resource-constrained devices, and while AI tools can assist with coding and optimization, embedded programmers are essential for designing, implementing, and maintaining these systems. AI is more likely to augment their work rather than fully replace them, especially given the need for specialized knowledge of hardware and real-time constraints.

Is embedded AI a good career?

Embedded machine learning involves developing AI models for hardware with limited resources, such as IoT devices and embedded systems. It is a growing field with demand for skills in hardware programming, C/C++, and AI frameworks, offering opportunities in industries like automotive, healthcare, and consumer electronics.

Is embedded systems still a good career in 2026?

Embedded Machine Learning remains a strong career in 2026 as industries increasingly adopt AI-powered devices and IoT solutions. Professionals with skills in hardware programming, real-time systems, and machine learning frameworks like TensorFlow Lite are in demand for developing intelligent embedded applications. Continuous learning and familiarity with microcontrollers, sensors, and embedded software development are essential for long-term growth in this field.

What engineers make $500,000?

Senior engineers in specialized fields such as embedded machine learning, AI, or data science can reach salaries of $500,000 or more, especially with extensive experience, advanced skills in programming and hardware, and leadership roles. High compensation often involves working in high-demand industries, with additional bonuses or stock options contributing to total earnings.

What are some common challenges faced by professionals working in embedded machine learning roles?

Professionals in embedded machine learning roles often face the challenge of optimizing machine learning models to run efficiently on resource-constrained hardware, such as microcontrollers or edge devices with limited memory and processing power. Balancing model accuracy, inference speed, and energy consumption can require creative problem-solving and deep knowledge of both hardware and software. Additionally, collaboration with hardware engineers, data scientists, and software developers is key, as projects typically require cross-functional teamwork to meet performance and deployment goals. Staying current with rapidly evolving tools and best practices is also important in this dynamic field.

What is an Embedded Machine Learning job?

An Embedded Machine Learning job involves developing and optimizing machine learning models to run efficiently on resource-constrained devices like microcontrollers, edge devices, and IoT hardware. Professionals in this role work on model compression, low-power inference, and real-time processing, ensuring AI capabilities can function without relying on cloud computing. Responsibilities often include data preprocessing, feature extraction, model training, and deployment on embedded systems using frameworks like TensorFlow Lite or Edge Impulse.

What are the key skills and qualifications needed to thrive in the Embedded Machine Learning position, and why are they important?

To thrive in Embedded Machine Learning, you should have expertise in machine learning algorithms, embedded systems programming (e.g., C/C++, Python), and a solid understanding of hardware-software integration, typically backed by a degree in computer engineering, electrical engineering, or a related field. Familiarity with edge AI tools (such as TensorFlow Lite, ONNX, or Edge Impulse), microcontrollers, and real-time operating systems is highly valued, alongside relevant certifications such as Embedded Systems or AI certificates. Strong problem-solving skills, effective communication, and the ability to work cross-functionally are crucial soft skills in this field. These qualifications and qualities are vital for creating efficient, reliable AI solutions that operate seamlessly within resource-constrained environments and interdisciplinary project teams.

What are the most commonly searched types of Embedded Machine Learning jobs in Ohio? The most popular types of Embedded Machine Learning jobs in Ohio are:
What are popular job titles related to Embedded Machine Learning jobs in Ohio? For Embedded Machine Learning jobs in Ohio, the most frequently searched job titles are:
What job categories do people searching Embedded Machine Learning jobs in Ohio look for? The top searched job categories for Embedded Machine Learning jobs in Ohio are:
What cities in Ohio are hiring for Embedded Machine Learning jobs? Cities in Ohio with the most Embedded Machine Learning job openings:
Embedded Machine Learning jobs near you
Infographic showing various Embedded Machine Learning job openings in Ohio as of June 2026, with employment types broken down into 87% Full Time, and 13% Part Time. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $145,821 per year, or $70.1 per hour.
Software Engineer

Software Engineer

Etegent Technologies, LTD

Beavercreek, OH • On-site

Other

Medical, Dental, Vision, Retirement

Posted 28 days ago

Job description

Description

Software Engineer


Etegent Technologies is a defense-focused technology company with offices in Beavercreek and Blue Ash, OH. We are a multi-disciplinary team of engineers, scientists, and management professionals dedicated to developing and commercializing AI/ML/Software solutions that address our customers' most significant challenges and opportunities.


Most important to us are our culture and values. Etegent's culture embodies respect, authenticity, collaboration, flexibility, curiosity, and fun. 


The Candidate:


More so than seeking a candidate with specific training and experience, Etegent seeks a special type of person; someone with an innate curiosity and passion for learning and understanding, tempered by a recognition of the pragmatic constraints inherent in developing real solutions to real problems. They are flexible and adaptable, having the desire and ability to learn new skills and develop new capabilities to take on challenges outside their current realm of experience. We are seeking very sharp, curious, well-rounded, adaptable people who can learn and grow as required to confront the challenges at hand. 


The Position:


Etegent is seeking a Software Engineer to help transition data exploitation algorithms from R&D into useable software to benefit our Department of Defense (DoD) and Intelligence Community (IC) customers. This opportunity will involve application software development from conceptualization and implementation to delivery and sustainment for DoD and IC user groups. This position is based in our Dayton office with some work performed on-site in our customers' facilities. 


The ideal candidate will have experience in all phases of the software development lifecycle, be detail oriented, and have a passion for creating software solutions to enhance the capabilities of others. Experience working on-site to support either AFRL or NASIC is preferable. The immediate focus will be working on projects in signal processing, algorithm efficiency, webstack, databasing, infrastructure and deployment.


Job responsibilities:

  • Write efficient, modular, and well-documented code. 
  • Collaborate with machine learning scientists and engineers building data analytics tools.
  • Develop customized tool sets to accelerate machine learning data curation and quality control including machine assisted data labeling and quality checks.
  • Develop reliable machine learning pipelines to support research, training, evaluation, and deployment. 
  • Build visualizations of complex numerical and scientific data.
  • Develop signal processing chains and algorithms to process large sensor data volumes with near real-time availability of results.
  • Design and implement optimized, low-level code on embedded hardware
  • Design and implement end user applications that leverage machine learning algorithms.
  • Build and deploy machine learning systems/computer vision systems for analysts.
  • Architect user interfaces/APIs for sensor simulation, exploitation, and analytics.
  • Identify architectures and tool sets to support design implementations and ways to optimize throughput.
  • Develop database schema and application interfaces to scale solutions on high performance computing environments (HPC/Cloud)
  • Assist in monitoring and directing project schedules, resources, and costs. 
  • Report on software development status and demonstrate software to customers.
  • Build and maintain GitLab CI/CD pipelines for multiple projects.


Requirements

Required Qualifications:

  • Bachelor's Degree in Computer Science, Software Engineering, or computer-related engineering field. 
  • We are open to new graduates or varying levels of professional software engineering experience.
  • Previous experience in Software Engineering.
  • Experience with data visualization tools or libraries.
  • Object Oriented software development knowledge and experience. 
  • Unit testing tools and methodologies knowledge and experience. 
  • Experience with Linux OS.
  • Strong oral and written communication skills. 
  • Strong planning and capacity experience in a hands-on environment.
  • Ability to obtain and maintain a TS/SCI security clearance. 

Preferred Qualifications:

  • Master's Degree in Computer Science, Software Engineering, Data Science, or a related field.
  • 3+ years of experience in Software Engineering.
  • Experience working with relational SQL databases (e.g., PostgreSQL)
  • Strong knowledge of Python, and common data science / ML packages (e.g., NumPy, PyTorch)
  • Experience or knowledge in Machine Learning and Machine Learning Pipelines.
  • Experience analyzing user requirements and translating to technical designs. 
  • Ability to understand the requirements of designing or transitioning software in a production environment
  • Capacity to come up to speed quickly on different algorithms. 
  • Familiarity with geospatial standards, GIS applications, or geospatial data formats (e.g., GeoJSON, KML, Shapefiles).
  • Strong knowledge of C++, as well as GPUs and other embedded hardware
  • Experience with web development and common frameworks (e.g., React, TypeScript).
  • Knowledge and experience with WebGL, Web Map Service (WMS) and RESTful interfaces.
  • OpenGL, QT framework, and Web Services experience.
  • Experience scaling algorithms for high performance environments (Cloud/DSRC)
  • TS security clearance with active SCI adjudication.

Key Attributes:

  • Ability to work independently and as part of a team, with multiple simultaneous projects.
  • Welcomes a challenge: Seeks out opportunities and does not shy away from adversity.
  • Collaborative: Recognizes the team that is supporting them behind the scenes and works to regularly understand others' needs and communicates frequent updates. 
  • Comfortable with adjusting to the needs of a small business and wearing several hats.

Working at Etegent:


At Etegent, you'll be a part of a fast-growing organization that combines a small-company feel with big-company resources and opportunities. We know that work-life balance is incredibly important, which is why in addition to your competitive salary, medical/dental/vision plan, and a generous annual company 401(k) contribution, you'll enjoy the following:

Flexibility: Not a morning person? No problem. We only ask that you begin your day by 10:00am. Also, you will enjoy a flexible schedule and some ability to telecommute.

Casual Dress: We know that incredible things can be achieved by people in casual clothing. We allow employees to dress in the way that is the most comfortable to them.

Professional Development: Continuous learning on us. Reimbursement provided for up to 100% of qualifying education expenses.

Food: Keep your energy levels up with our well-supplied snack and beverage kitchen and enjoy a weekly lunch with your talented colleagues on Free Lunch Thursdays.

Fun employee events: Enjoy frequent employee get-togethers outside of work! 


Competitive compensation based on qualifications and experience of candidate.


Etegent Technologies is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sexual orientation, gender identity, national origin, protected veteran status or disability.



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