Industrial Controls Test Engineer- electrical and electromechanical systems

Atlanta, GA, US • Posted 7 hours ago • Updated 7 hours ago
Contract W2
12 Months
No Travel Required
On-site
Depends on Experience
Fitment

Dice Job Match Score™

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Job Details

Skills

  • Automated Testing
  • Artificial Intelligence
  • Continuous Delivery
  • Computer Science
  • Conflict Resolution
  • Continuous Improvement
  • DMAIC
  • Data Analysis
  • Electromechanics
  • FMEA
  • Lean Six Sigma
  • DevSecOps
  • Electrical Engineering
  • Machine Learning (ML)
  • Decision-making
  • Industrial Engineering
  • Machine Vision
  • Manufacturing Engineering
  • Process Mapping
  • Quality Assurance
  • Python
  • Robotics
  • Schematics
  • Root Cause Analysis
  • Systems Engineering
  • System Testing

Summary

Industrial Controls Test Engineer
Atlanta, GA
6+ Months
Face to Face Interviews


Candidates available for the Industrial Controls Test Engineer role below. 

This is a 6+ month contract in Atlanta, GA. 

Work is on-site 5 days per week. 


Strong candidates may come from quality engineering, manufacturing engineering, process engineering, systems engineering, automation, robotics, or electromechanical troubleshooting backgrounds. Software engineering expertise is not required, but candidates should be comfortable working with software engineers and understanding how software and control logic affect physical system behavior. 

 

Required Qualifications

·         Bachelor’s degree in Engineering, Quality Engineering, Industrial Engineering, Manufacturing Engineering, Systems Engineering, Computer Science, or a related technical field, or equivalent relevant experience.

·         Experience in quality engineering, systems testing, process engineering, manufacturing engineering, industrial automation, systems engineering, or a closely related field.

·         Strong understanding of electrical and electromechanical systems, including sensors, actuators, digital and analog signals, I/O, relays, motors, power systems, and basic controls.

·         Ability to read and interpret electrical schematics and troubleshoot electrical and electromechanical systems.

·         Experience developing and executing test plans, documenting defects, analyzing results, and validating corrective actions.

·         Demonstrated experience with root cause analysis, structured problem-solving, and data-driven decision-making.

·         Ability to understand interactions across electrical, mechanical, software, controls, and physical systems.

·         Strong analytical skills with the ability to identify trends, distinguish symptoms from root causes, and prioritize issues based on impact.

·         Ability to evaluate physical work processes and identify opportunities for automation, efficiency, quality, safety, and reliability improvements.

·         Strong written and verbal communication skills with the ability to communicate technical findings to engineering and non-technical stakeholders.

 

Preferred Qualifications

·         Experience with Lean, Six Sigma, DMAIC, FMEA, SPC, process capability, CAPA, or related continuous-improvement methods.

·         Experience with industrial automation, robotics, manufacturing systems, machine controls, machine vision, PLCs, or other complex physical systems.

·         Ability to read and understand basic C++ code or software logic; software development expertise is not required.

·         Experience with time studies, process mapping, task analysis, work measurement, or automation opportunity assessment.

·         Experience using data analysis tools such as Excel, SQL, Python, MATLAB, or similar technologies.

·         Experience with automated testing, scripting, test frameworks, version control, CI/CD, DevSecOps, or modern software-development practices.

·         Exposure to AI/ML systems and testing approaches for AI-driven or adaptive system behavior.

 

Candidate Profile

The ideal candidate is a hands-on, systems-oriented engineer who can determine how a machine or automated system should perform, identify what actually occurred, isolate the source of a failure, and help prevent recurrence.

Strong candidates may come from quality engineering, manufacturing engineering, process engineering, systems engineering, automation, robotics, or electromechanical troubleshooting backgrounds. Software engineering expertise is not required, but candidates should be comfortable working with software engineers and understanding how software and control logic affect physical system behavior.

 

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: 10115487
  • Position Id: VNS0817
  • Posted 7 hours ago
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