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Machine Vision Application Engineer Jobs in Georgia

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Robotics Engineer

Lagrange, GA · On-site

$60K - $80K/mo

... Application Engineer with Vision and PLC 3) TM service and Inspection service for customer 4) Handling Training for Robot and Paint / Sealing Applicator also I am looking for candidates who have ...

Assembling industrial machines based on engineering drawings and customer specs * Installing ... Experience with industrial robots or machine vision applications If you've spent your career ...

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Machine Learning Engineer

Atlanta, GA · On-site

$50 - $60/hr

Machine Learning Engineer 3 Date Posted: 7/31/26 Location: Atlanta, GA 30308 Job Type: Contract ... application stand out among the rest. Our personal touch continues even after we've found the ...

$139K - $168K/yr

... application at scale Minimum Requirements: * Ability to be available for meetings and impromptu ... Quora offers a wide range of benefits including medical/dental/vision coverage, equity refreshers ...

$139K - $168K/yr

... application at scale Minimum Requirements: * Ability to be available for meetings and impromptu ... Quora offers a wide range of benefits including medical/dental/vision coverage, equity refreshers ...

$139K - $168K/yr

... application at scale Minimum Requirements: * Ability to be available for meetings and impromptu ... Quora offers a wide range of benefits including medical/dental/vision coverage, equity refreshers ...

$139K - $168K/yr

... application at scale Minimum Requirements: * Ability to be available for meetings and impromptu ... Quora offers a wide range of benefits including medical/dental/vision coverage, equity refreshers ...

Showing results 41-60

Machine Vision Application Engineer information

How does a machine vision application engineer typically collaborate with other departments during a project?

Machine Vision Application Engineers frequently work in cross-functional teams, collaborating closely with software developers, mechanical engineers, and production staff to ensure vision systems integrate seamlessly into manufacturing processes. They are often involved from the initial requirements gathering stage through to implementation and troubleshooting, providing technical expertise and translating complex imaging needs into practical solutions. Regular communication with quality assurance and operations teams is also common, as these engineers help fine-tune systems to maintain accuracy and efficiency on the production floor.

What is a machine vision application engineer?

A Machine Vision Application Engineer is a technical professional who designs, develops, and implements machine vision systems used for automated inspection, measurement, and guidance in manufacturing and industrial environments. They work with cameras, sensors, lighting, and image processing software to create solutions that help machines 'see' and interpret visual information. Their role often involves collaborating with clients to understand application requirements, selecting appropriate hardware and software, and ensuring successful system integration. Machine Vision Application Engineers play a key role in improving product quality, production efficiency, and automation processes.

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

To thrive as a Machine Vision Application Engineer, you need a solid background in engineering or computer science, experience with image processing, and a strong understanding of optics and camera technologies. Familiarity with machine vision software (such as Cognex, Halcon, or OpenCV), programming languages (like C++ or Python), and industrial automation systems is typically required. Strong problem-solving skills, effective communication, and project management abilities help you excel in client-facing and cross-disciplinary environments. These skills are crucial for designing, implementing, and supporting robust vision systems that meet manufacturing and automation needs.

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

AspectMachine Vision Application EngineerComputer Vision Engineer
Required CredentialsBachelor's in Engineering, Computer Science, or related field; experience with vision systemsBachelor's or higher in Computer Science, Electrical Engineering, or related; strong programming skills
Work EnvironmentManufacturing, automation, quality control settingsResearch labs, tech companies, AI development environments
Industry UsageIndustrial automation, robotics, manufacturingAI, autonomous vehicles, image analysis
Common Search/ComparisonYesYes

While both roles involve image processing and vision systems, the Machine Vision Application Engineer focuses on implementing vision solutions in industrial settings, whereas the Computer Vision Engineer works on developing algorithms and AI models for broader applications like autonomous vehicles and AI research.

What job categories do people searching Machine Vision Application Engineer jobs in Georgia look for? The top searched job categories for Machine Vision Application Engineer jobs in Georgia are:
What cities in Georgia are hiring for Machine Vision Application Engineer jobs? Cities in Georgia with the most Machine Vision Application Engineer job openings:
Infographic showing various Machine Vision Application Engineer job openings in Georgia as of August 2026, with employment types broken down into 1% As Needed, 78% Full Time, 16% Part Time, and 5% Contract. Highlights an 96% Physical, 1% Hybrid, and 3% Remote job distribution.

Mechanical Engineer

TRC Talent Solutions

Carrollton, GA

Full-time

Posted yesterday

New


Job description

TRC's Partner, an electrical manufacturing leader near Carrollton, GA, has an opportunity for a Senior Mechanical Engineer to join their team!


The team is leading the development of next-generation automation, vision systems, AI-driven process improvements, in-line measurement technologies, safety solutions, and quality enhancement initiatives across multiple manufacturing facilities.


This is an opportunity to work on projects that have never been done before, creating custom solutions from concept through installation while helping shape the future of manufacturing automation.


What You'll Do
Design and develop custom mechanical systems, housings, stands, fixtures, and integration solutions for advanced automation and vision-based inspection systems.
Lead projects from concept and design through fabrication, installation, commissioning, and validation.
Partner closely with controls engineers, fabrication teams, mechanical installers, and manufacturing stakeholders.
Support company-wide automation initiatives focused on AI, machine vision, sensors, gauges, safety systems, quality improvements, and throughput optimization.
Travel to manufacturing facilities throughout the Southeast and Texas to support project implementation and customer engagement.
Build strong relationships with plant leadership and operations teams to gain alignment and drive project success.
Work directly with internal stakeholders to identify opportunities for automation and process improvement.
Create detailed mechanical designs using AutoCAD and/or SolidWorks while ensuring manufacturability and practical field implementation.


What We're Looking For
Bachelor's degree in Mechanical Engineering required.
Experience designing custom equipment, machinery, fixtures, or automation-related mechanical systems.
AutoCAD experience required; SolidWorks experience is highly preferred.
Hands-on experience working with fabrication shops and validating designs in the field.
Strong understanding of manufacturing environments and mechanical integration.
Experience supporting installation and startup activities.
Exposure to wiring, cabling, industrial equipment, converting, paper, pulp & paper, carpet, or similar manufacturing environments is a plus.
Excellent communication and relationship-building skills with the ability to influence stakeholders across multiple facilities.

TRC Talent Solutions is proud to be an Equal Opportunity Employer (EOE). All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, age, national origin, protected veteran status, disability status, sexual orientation, gender identity or expression, marital status, genetic information, or any other characteristic protected by law.