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Computer Vision Engineer Jobs in Georgia (NOW HIRING)

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 ...

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 ...

Ready to apply cutting-edge image processing, computer vision, and AI technology to innovations trusted around the world? Join Crane Currency as an Image Processing Engineer in Alpharetta, GA , where ...

Ready to apply cutting-edge image processing, computer vision, and AI technology to innovations trusted around the world? Join Crane Currency as an Image Processing Engineer in Alpharetta, GA, where ...

Agentic AI Engineer

Atlanta, GA

$110K - $132K/yr

... computer vision tasks. • Write clean, efficient, and well-documented Python code for data ... teams (data engineers, researchers, and product managers) to integrate AI/ML solutions into ...

Ready to apply cutting-edge image processing, computer vision, and AI technology to innovations trusted around the world? Join Crane Currency as an Image Processing Engineer in Alpharetta, GA , where ...

>" /> Ready to apply cutting-edge image processing, computer vision, and AI technology to innovations trusted around the world? Join Crane Currency as an Image Processing Engineer in Alpharetta, GA , where ...

Agentic AI Engineer

Atlanta, GA · On-site

$110K - $132K/yr

... computer vision tasks. • Write clean, efficient, and well-documented Python code for data ... teams (data engineers, researchers, and product managers) to integrate AI/ML solutions into ...

Experience with robotics, computer vision, machine learning, PCB integration, embedded Linux ... Bachelor's degree in Computer Engineering, Electrical Engineering, Mechatronics, a related ...

Experience with robotics, computer vision, machine learning, PCB integration, embedded Linux ... Bachelor's degree in Computer Engineering, Electrical Engineering, Mechatronics, a related ...

The Vision Systems Engineer will support the prevention of quality issue in advance and maximize ... Use hands and fingers to operate tools, equipment, and computer systems Work Environment: * Work ...

Product Sourcing Engineer

Atlanta, GA · On-site

$111K - $147K/yr

... computer vision, sensor fusion, and networking technology to the military in months, not years ... We are looking for software engineers, hardware engineers, roboticists, and front-end mobile ...

Showing results 21-40

Computer Vision Engineer information

See Georgia salary details

$41K

$102.6K

$116.1K

How much do computer vision engineer jobs pay per year?

As of Sep 10, 2026, the average yearly pay for computer vision engineer in Georgia is $102,605.00, according to ZipRecruiter salary data. Most workers in this role earn between $94,100.00 and $111,000.00 per year, depending on experience, location, and employer.

What is a computer vision engineer?

Computer Vision Engineers are professionals who develop algorithms and systems that enable computers to interpret and process visual information from the world, such as images and videos. They work on tasks like object detection, facial recognition, image segmentation, and more, often using machine learning and deep learning techniques. These engineers apply their expertise in fields like robotics, autonomous vehicles, healthcare, and augmented reality, turning raw visual data into actionable insights.

What does a computer vision engineer do?

Computer vision is a branch of artificial intelligence that attempts to replicate human analytical processes by using algorithms and computer models to understand and identify patterns in images. As a computer vision engineer, you use software to handle the processing and analysis of large data populations, and your efforts support the automation of predictive decision-making efforts. Your responsibilities involve research, programming, data analysis, and user interface design. You may work on a variety of exciting development projects like self-driving cars, mobile devices, innovative features and capabilities in sports and entertainment, and the next generation of social media enhancements.

What are the key skills and qualifications needed to thrive as a computer vision engineer, and why are they important?

To thrive as a Computer Vision Engineer, you need a strong background in computer science, mathematics, and machine learning, often supported by a relevant degree and experience with image processing algorithms. Familiarity with tools and frameworks such as OpenCV, TensorFlow, PyTorch, and proficiency in programming languages like Python or C++ is essential, along with knowledge of deep learning techniques. Analytical thinking, creativity, and effective communication are standout soft skills for this role. These skills and qualities are crucial for developing innovative vision solutions, interpreting complex data, and collaborating efficiently within interdisciplinary teams.

What are some common challenges faced by computer vision engineers when deploying models to production environments?

Computer Vision Engineers often encounter challenges such as ensuring model accuracy in diverse real-world conditions, optimizing models for efficiency on edge devices, and handling large-scale data processing. Deploying models to production requires balancing performance with resource constraints and addressing issues like latency, scalability, and data privacy. Collaborating closely with software engineers and data scientists is crucial to integrate solutions effectively and continuously monitor and improve model performance in live applications.

What is the difference between Computer Vision Engineer vs Machine Learning Engineer?

AspectComputer Vision EngineerMachine Learning Engineer
Required CredentialsBachelor's or Master's in CS, Electrical Engineering, or related; knowledge of image processing and computer vision librariesBachelor's or Master's in CS, Data Science, or related; strong programming and statistical skills
Work EnvironmentDevelops algorithms for image/video analysis, object detection, and recognition in tech, automotive, or healthcare industriesBuilds models for various data types, including text, images, and structured data across multiple sectors
Employer & Industry UsageTech companies, autonomous vehicles, robotics, healthcareTech firms, finance, e-commerce, healthcare, and research institutions

While both roles involve machine learning techniques, Computer Vision Engineers specialize in developing algorithms for visual data, whereas Machine Learning Engineers work on broader data modeling across various data types. The roles often overlap but differ mainly in focus and application areas.

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

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

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

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

Infographic showing various Computer 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 $102,605 per year, or $49.3 per hour.

Systems Engineer II Senior

Atlanta, GA • On-site

Eliassen Group
IT Services • 5 - 10K employees

$55 - $60/hr

Contractor

Medical, Dental, Vision, Life, Retirement

Posted 26 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 (noreply@eliassen.com, 781-808-2924) 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 fraud@eliassen.com.

 
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!
 

Eliassen Group logo

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