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Machine Vision Engineer Jobs in Georgia (NOW HIRING)

Eliassen Group

Systems Engineer II Senior

Atlanta, GA · On-site

$55 - $60/hr

Support integration of machine learning and computer vision models with reliable sensor and image ... Apply engineering principles to track inspection, rolling stock inspection, train and car ...

Eliassen Group

Systems Engineer II Senior

Atlanta, GA · On-site

$55 - $60/hr

Support integration of machine learning and computer vision models with reliable sensor and image ... Apply engineering principles to track inspection, rolling stock inspection, train and car ...

Wabash Solutions Inc

QA Engineer

Atlanta, GA · On-site

$75 - $90/hr

... machine vision, PLCs, or other complex physical systems. * Ability to read and understand basic C ... Software engineering expertise is not required, but candidates should be comfortable working with ...

Event Capture Systems

Be Seen First

Service Technician

Columbus, GA · On-site

$60K - $70K/yr

Ability to handle physical workload Company Description ECS is a Charlotte, NC based machine vision ... computer programming cannot solve. Our solutions provide 24/7 feedback on critical production ...

Event Capture Systems

Be Seen First

Service Technician

Columbus, GA · On-site

$60K - $70K/yr

Ability to handle physical workload Company Description ECS is a Charlotte, NC based machine vision ... computer programming cannot solve. Our solutions provide 24/7 feedback on critical production ...

Hendrick

$14.75 - $20.25/hr

The engineer will work closely with production, maintenance, quality, and manufacturing teams to ... Knowledge of machine vision, seam tracking, laser scanning, and adaptive welding technologies.

MHI

Machining Engineer I

Pooler, GA · On-site

We operate as one team, pushing toward our vision of the future. We value problem solvers ... Experience with CNC machine programming using MasterCAM. * Partner with design engineering and ...

Cox Automotive

Machine Learning Lead Engineer

Austell, GA · On-site

$134K - $224K/yr

... vision, optimization, predictive models, or causal machine learning. WHAT YOU'LL DO Key ... Partner with engineering teams to integrate AI-enhanced models and establish automated monitoring ...

Cox Automotive

Machine Learning Lead Engineer

Morrow, GA · On-site

$134K - $224K/yr

... vision, optimization, predictive models, or causal machine learning. WHAT YOU'LL DO Key ... Partner with engineering teams to integrate AI-enhanced models and establish automated monitoring ...

Cox Automotive

Machine Learning Lead Engineer

Dunwoody, GA · On-site

$134K - $224K/yr

... vision, optimization, predictive models, or causal machine learning. WHAT YOU'LL DO Key ... Partner with engineering teams to integrate AI-enhanced models and establish automated monitoring ...

Cox Automotive

Machine Learning Lead Engineer

Redan, GA · On-site

$134K - $224K/yr

... vision, optimization, predictive models, or causal machine learning. WHAT YOU'LL DO Key ... Partner with engineering teams to integrate AI-enhanced models and establish automated monitoring ...

Cox Automotive

Machine Learning Lead Engineer

Fairburn, GA · On-site

$134K - $224K/yr

... vision, optimization, predictive models, or causal machine learning. WHAT YOU'LL DO Key ... Partner with engineering teams to integrate AI-enhanced models and establish automated monitoring ...

Cox Automotive

Machine Learning Lead Engineer

Conley, GA · On-site

$134K - $224K/yr

... vision, optimization, predictive models, or causal machine learning. WHAT YOU'LL DO Key ... Partner with engineering teams to integrate AI-enhanced models and establish automated monitoring ...

Cox Automotive

Machine Learning Lead Engineer

Atlanta, GA · On-site

$134K - $224K/yr

... vision, optimization, predictive models, or causal machine learning. WHAT YOU'LL DO Key ... Partner with engineering teams to integrate AI-enhanced models and establish automated monitoring ...

Cox Automotive

Machine Learning Lead Engineer

Vinnings, GA · On-site

$134K - $224K/yr

... vision, optimization, predictive models, or causal machine learning. WHAT YOU'LL DO Key ... Partner with engineering teams to integrate AI-enhanced models and establish automated monitoring ...

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Showing results 21-40

All JobsMachine Vision Engineer JobsMachine Vision Engineer Jobs in Georgia

Machine Vision Engineer information

See Georgia salary details

$26.6K

$108.7K

$163.4K

How much do machine vision engineer jobs pay per year?

As of Aug 22, 2026, the average yearly pay for machine vision engineer in Georgia is $108,730.00, according to ZipRecruiter salary data. Most workers in this role earn between $85,700.00 and $130,900.00 per year, depending on experience, location, and employer.

What is a machine vision engineer?

A Machine Vision Engineer designs, develops, and implements computer vision systems that enable machines to analyze and interpret visual data. They work with imaging hardware, software, and algorithms to automate inspection, quality control, and object recognition tasks in industries like manufacturing, robotics, and healthcare. Their role involves optimizing image processing techniques, integrating vision systems with automation, and improving performance using AI and machine learning.

What does a machine vision engineer do?

Machine Vision Engineers are often involved in designing, implementing, and optimizing vision systems used for automated inspection, quality control, or object identification in manufacturing environments. On a day-to-day basis, you might work on algorithm development, integrating hardware components like cameras and lighting, troubleshooting vision setups, and collaborating with multidisciplinary teams such as mechanical engineers or production managers. Regular tasks include testing new solutions on production lines, refining vision algorithms for accuracy, and documenting system performance. Being adaptable and able to communicate clearly with both technical and non-technical colleagues is important for success in this dynamic and fast-evolving field.

What are the key skills and qualifications needed to thrive as a machine vision engineer?

To thrive as a Machine Vision Engineer, you need a solid background in computer vision, image processing, programming (often Python or C++), and a degree in engineering or computer science. Experience with machine vision libraries (such as OpenCV or HALCON), familiarity with industrial cameras and lighting, and certifications in automation or robotics are commonly required. Strong problem-solving abilities, attention to detail, and effective communication are valuable soft skills in this role. These competencies are essential for developing, testing, and deploying reliable vision systems that meet industrial automation needs.

What are the most commonly searched types of Machine Vision Engineer jobs in Georgia?

The most popular types of Machine Vision Engineer jobs in Georgia are:

What are popular job titles related to Machine Vision Engineer jobs in Georgia?

For Machine Vision Engineer jobs in Georgia, the most frequently searched job titles are:

What job categories do people searching Machine Vision Engineer jobs in Georgia look for?

The top searched job categories for Machine Vision Engineer jobs in Georgia are:

What cities in Georgia are hiring for Machine Vision Engineer jobs?

Cities in Georgia with the most Machine Vision Engineer job openings:

Machine Vision Engineer jobs near you
Infographic showing various Machine Vision Engineer job openings in Georgia as of August 2026, with employment types broken down into 1% As Needed, 71% Full Time, 15% Part Time, 10% Contract, and 3% Nights. Highlights an 96% Physical, 1% Hybrid, and 3% Remote job distribution, with an average salary of $108,730 per year, or $52.3 per hour.

Systems Engineer II Senior

Eliassen Group

Atlanta, GA • On-site

$55 - $60/hr

Other

Medical, Dental, Vision, Life, Retirement

Posted 8 days ago

Job description

Description:
On-site in Atlanta, GA
Our client seeks a hands-on Systems Engineer to design, integrate, deploy, and support complex railroad technology systems that combine electrical hardware, embedded computing, software, cameras, sensors, networking, machine learning, servers, and physical infrastructure. The role bridges hardware, software, data science, solution architecture, field operations, and customer needs to deliver reliable operational solutions in railroad environments.
Due to client requirements, applicants must be willing and able to work on a w2 basis. For our w2 consultants, we offer a great benefits package that includes Medical, Dental, and Vision benefits, 401k with company matching, and life insurance.
Rate: $55.00 to $60.00/hr. w2
Responsibilities:
  • Design and integrate end-to-end systems spanning electrical, mechanical, embedded, software, networking, sensing, AI, and field infrastructure components.
  • Translate operational needs into architectures, requirements, interfaces, implementation plans, and integration strategies.
  • Integrate electronics, PCBs, embedded computers, cameras, sensors, networking equipment, servers, software, and AI models into deployed systems.
  • Identify risks, dependencies, and integration challenges. Troubleshoot failures across hardware, firmware, software, networking, sensing, AI, and field conditions.
  • Collaborate with solution architects, software engineers, data scientists, electrical engineers, IT and cybersecurity teams, DevSecOps, field personnel, and systems engineers.
  • Develop, configure, integrate, and troubleshoot embedded computing systems and hardware or software interfaces.
  • Write and maintain C++ and Python software, scripts, and tools for control, acquisition, communications, diagnostics, testing, configuration, deployment, and monitoring.
  • Analyze system behavior to isolate integration issues and performance bottlenecks across application, embedded, and system layers.
  • Support integration of machine learning and computer vision models with reliable sensor and image data capture, processing, and delivery.
  • Determine root causes of field performance issues across sensing, data quality, model performance, software, hardware, networking, or integration.
  • Design, integrate, and troubleshoot field-deployed electrical and electronic systems including power, sensors, communications, embedded computing, and PCBs.
  • Read schematics, PCB documentation, datasheets, drawings, and specifications. Select components per electrical, environmental, performance, and operational needs.
  • Integrate cameras, lenses, lighting, image acquisition, optics, sensors, and related equipment for machine vision and inspection.
  • Evaluate camera placement, mounting, field of view, resolution, exposure, lighting, image quality, environmental effects, and data suitability for computer vision and AI.
  • Design, configure, deploy, and troubleshoot servers, switches, routers, wireless equipment, edge platforms, IP networks, distributed communications, databases, cloud interfaces, and enterprise connections.
  • Develop practical solutions for environments with connectivity constraints and exposure to weather, vibration, temperature, and lighting.
  • Deploy, commission, validate, test, and troubleshoot systems in labs, test tracks, trackside locations, rail yards, maintenance facilities, and other railroad settings.
  • Analyze operational data, logs, sensor information, images, and diagnostics to assess performance and isolate failures.
  • Develop procedures and tools that simplify installation, configuration, testing, maintenance, troubleshooting, and deployment.
  • Apply engineering principles to track inspection, rolling stock inspection, train and car identification, rail-yard operations, automated monitoring, safety, maintenance, efficiency, and operational awareness.
  • Travel to field locations as needed.

Experience Requirements:
  • Experience developing, integrating, or troubleshooting complex hardware and software systems.
  • Working knowledge of C++ and Python.
  • Ability to troubleshoot systems involving hardware, software, embedded computing, networking, sensors, and field equipment.
  • Understanding of electrical and electronic fundamentals including sensors, signals, power, digital or analog I/O, embedded systems, and components.
  • Ability to read schematics, technical drawings, datasheets, and system documentation.
  • Understanding of computer networking fundamentals, IP networking, and networked devices.
  • Strong analytical, communication, collaboration, and hands-on problem-solving skills in lab and field environments.
  • Ability and desire to work across disciplines and learn new technologies.
  • Preferred: experience with robotics, mechatronics, autonomous systems, drones, industrial automation, motion systems, or physical system integration.
  • Preferred: experience with computer vision, machine learning, cameras, optics, lighting, image acquisition, sensor fusion, localization, tracking, or perception systems.
  • Preferred: experience with PCB and electronics design, wiring, hardware development, microcontrollers, embedded processors, edge platforms, embedded Linux, or other embedded OS.
  • Preferred: experience with Linux servers, industrial networking, protocols, databases, SQL, Docker, containers, virtualization, Git, CI/CD, DevSecOps, automated deployment, real-time systems, or HPC.
  • Preferred: experience in outdoor, industrial, transportation, railroad, or other demanding physical environments.

Education Requirements:
Bachelor's degree in Electrical Engineering, Computer Engineering, Mechatronics, a related engineering discipline, or equivalent relevant experience.
Recruitment Transparency Notice

Eliassen Group values transparency in our recruitment practices. Please be advised that Eliassen Group utilizes artificial intelligence (AI) tools as part of its initial application screening and hiring process. You may receive email and SMS notifications from the Eliassen Virtual Recruiting Team (, ) inviting you to complete a brief voice screening as part of your application process. These tools assist our hiring teams in different ways, including but not limited to, assistance in reviewing application materials to help identify candidates whose qualifications most closely match the requirements of the position. All AI-assisted evaluations and responses are reviewed by human recruiters before any hiring decisions are made. The use of AI in our process is intended to support fairness, efficiency, and consistency, and Eliassen Group takes measures to prevent bias or discrimination in connection with its hiring practices. By proceeding, you acknowledge, agree, and consent to Eliassen Group's use of these tools, including AI tools, as part of the application and hiring process.
Skills, experience, and other compensable factors will be considered when determining pay rate. The pay range provided in this posting reflects a W2 hourly rate; other employment options may be available that may result in pay outside of the provided range.
W2 employees of Eliassen Group who are regularly scheduled to work 30 or more hours per week are eligible for the following benefits: medical (choice of 3 plans), dental, vision, pre-tax accounts, other voluntary benefits including life and disability insurance, 401(k) with match, and sick time if required by law in the worked-in state/locality.
If anyone reaches out to you about an open position connected with Eliassen Group, please ensure that you are working directly with us by confirming the following:
When you work with Eliassen Group, all email communication will come from an Eliassen.com address, never Gmail, Yahoo, etc.
Eliassen Group will never ask you for personal information (home address, bank account, or check routing number) until you have worked with someone clearly associated with Eliassen Group.
If you have any indication of fraudulent activity, please contact .
About Eliassen Group:
Eliassen Group is a strategic consulting firm that helps organizations reach further and achieve more through our technology, business advisory, and life sciences solutions. For nearly 40 years, we have combined exceptional people, deep domain expertise, and intelligent capabilities to expand our clients' capacity and accelerate meaningful outcomes. We are driven by a purpose to positively impact the lives of our employees, clients, consultants, and the communities we serve.
Eliassen is committed to building a diverse and inclusive team from a variety of backgrounds, perspectives, and skills. We are an Equal Opportunity and Affirmative Action Employer and all employment decisions are based on merit, performance, and business needs. Eliassen does not discriminate on the basis of race, color, gender identity or expression, sexual preference or orientation, sex (including pregnancy, childbirth, and related medical conditions), marital status, creed, religion, physical or mental disability, genetic information, military or veteran status, age, ancestry, national origin, citizenship status, prohibited criminal record inquiries of applicants and employees, or any other category protected by federal, state, or local laws.
Don't miss out on our referral program! If we hire a candidate that you refer us to then you can be eligible for a $1,000 referral check!
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About Eliassen Group

Sourced by ZipRecruiter

Eliassen Group provides strategic consulting and talent solutions to drive our clients' innovation and business results. Our purpose is to positively impact the lives of our employees, clients, consultants, and the communities in which we operate. Leveraging over 30 years of success, our expertise in talent solutions, life sciences consulting, Agile consulting, cloud services, risk management, business optimization, and managed services enables us to partner with our clients to execute their business strategy and scale effectively. Headquartered in Reading, MA, and with offices from coast to coast, Eliassen Group offers local community presence and deep networks, as well as national reach.

Industry

It services

Company size

5,001 - 10,000 Employees

Headquarters location

Reading, MA, US

Year founded

1989

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