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Computer Vision Engineer Jobs in Athens, GA (NOW HIRING)

Kubota

Manufacturing Engineer

Gainesville, GA · On-site

$67K - $87K/yr

Maintain our product and process database by writing computer programs and entering data ... Specific vision abilities required by the job include close vision, distance vision, peripheral ...

Kubota

Manufacturing Engineer

Gainesville, GA · On-site

$67K - $87K/yr

Maintain our product and process database by writing computer programs and entering data ... Specific vision abilities required by the job include close vision, distance vision, peripheral ...

Georgia Civil, Inc.

Civil Engineer In Training

Madison, GA · On-site

$57K - $66K/yr

Produce scale engineering drawings using CAD. * Complete detailed design drawings and related ... Specific vision abilities required by this position include close vision, distance vision, and the ...

Quora

iOS Engineer -Remote

Athens, GA · On-site

$166K - $191K/yr

Quora offers a wide range of benefits including medical/dental/vision coverage, equity refreshers ... For Toronto and Vancouver based applicants, the salary range is $166,675 - $191,397 CAD + equity ...

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All JobsComputer Vision Engineer JobsComputer Vision Engineer Jobs in Athens, GA

Computer Vision Engineer information

See Athens, GA salary details

$46.8K

$117.3K

$132.8K

How much do computer vision engineer jobs pay per year?

As of Aug 19, 2026, the average yearly pay for computer vision engineer in Athens, GA is $117,333.00, according to ZipRecruiter salary data. Most workers in this role earn between $107,700.00 and $127,000.00 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.

More about Computer Vision Engineer jobs

What job categories do people searching Computer Vision Engineer jobs in Athens, GA look for?

The top searched job categories for Computer Vision Engineer jobs in Athens, GA are:

What cities near Athens, GA are hiring for Computer Vision Engineer jobs?

Cities near Athens, GA with the most Computer Vision Engineer job openings:

Computer Vision Engineer jobs near you
Infographic showing various Computer Vision Engineer job openings in Athens, GA as of August 2026, with employment types broken down into 1% As Needed, 76% Full Time, 17% Part Time, and 6% Contract. Highlights an 96% Physical, 1% Hybrid, and 3% Remote job distribution, with an average salary of $117,333 per year, or $56.4 per hour.

Design Engineer

Sterling Engineering Inc.

Flowery Branch, GA

$50 - $65/hr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 4 days ago

Job description

Title: Mechanical Designer
Location: Flowery Branch, GA
Hire Type: Contract, Multi-Year Assignment
Compensation: $50-65/hr
Benefits: As a contract employee of Sterling, you are eligible to receive a Full Employee Benefits Package that includes paid time off, paid holidays, 3 medical plans to choose from, dental & vision plans, 401(k), and an Employee Stock Ownership (ESOP) plan.
Must have Skill Set:

  • 7+ years of mechanical CAD/design experience

  • Advanced SolidWorks and AutoCAD proficiency

  • 2D/3D mechanical design and production-ready drawing development

  • Manufacturing or industrial design experience, including reverse engineering

Overview:

A leading manufacturing organization is seeking an experienced Mechanical CAD Designer to provide hands-on, on-site design and drafting support within a high-volume production facility. This role will support engineering, maintenance, production, research and development, capital projects, and process improvement initiatives.

The ideal candidate will bring 7+ years of mechanical CAD experience, advanced SolidWorks and AutoCAD skills, and the ability to develop accurate 2D drawings, 3D models, layouts, and production-ready fabrication documentation. Manufacturing or industrial experience is strongly preferred.

Job Duties:

  • Maintain the site’s product data and engineering drawing library, including vendor documentation, revisions, updates, and archival of obsolete files.
  • Create and maintain 2D plant layouts, process layouts, 3D models, schematics, P&IDs, process flow diagrams, pipe routing drawings, and mechanical drawings.
  • Develop detailed, production-ready drawings for machining, fabrication, sheet metal, molding, injection molding, and other manufacturing processes.
  • Design and modify mechanical components, equipment, assemblies, platforms, guards, carts, catwalks, and other plant-support equipment.
  • Support capital projects by converting field measurements and point-cloud information into 3D models, layouts, installation drawings, and accurate as-built documentation.
  • Perform reverse engineering of existing equipment and components to support replacement parts, cost reduction, equipment improvements, and reliability initiatives.
  • Partner with research and development teams on prototype development, equipment design, and transition to production.
  • Collaborate with engineering, maintenance, production, safety, project, and vendor teams to develop practical mechanical solutions.
  • Obtain technical information, measurements, specifications, and drawings from vendors and internal stakeholders as needed.
  • Ensure drawings, models, and technical documentation meet established engineering and plant standards.

Qualifications:

  • 7+ years of professional CAD drafting or mechanical design experience, preferably within manufacturing, industrial, or production environments.
  • Advanced proficiency with SolidWorks and AutoCAD.
  • Strong experience creating and modifying both 2D drawings and 3D solid models.
  • Demonstrated mechanical, machine, and component design experience.
  • Experience with reverse engineering equipment, machinery, or components.
  • Ability to interpret engineering drawings, schematics, specifications, measurements, and technical documentation.
  • Experience creating drawings for machining, fabrication, sheet metal, molding, or similar manufacturing processes.
  • Strong understanding of mechanical design principles, tolerances, dimensions, and drawing standards.
  • Ability to work from field measurements and point-cloud data.
  • Strong attention to detail, organization, communication, and problem-solving skills.
  • Ability to independently manage multiple projects in a fast-paced manufacturing environment.


Qualified applicants will receive consideration for employment without regard to race, color, age, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or genetic information.


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