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Automation Equipment Engineer

Job in Fort Worth, Tarrant County, Texas, 76102, USA
Listing for: Method360 Talent Acquisition
Full Time position
Listed on 2026-01-31
Job specializations:
  • Engineering
    Robotics, Electrical Engineering
Salary/Wage Range or Industry Benchmark: 55000 - 65000 USD Yearly USD 55000.00 65000.00 YEAR
Job Description & How to Apply Below

Overview

Job Title: Automation Equipment Engineer

Location: Fort Worth, TX

Employment Type: Full-Time

Salary Range: $55000 - $65000 + bonus + benefits

This role focuses on designing and implementing automation testing processes, vision control programming, and scalable automation solutions to enhance product quality and operational efficiency.

Key Responsibilities
  • Conduct research and analysis on product automation technologies.
  • Design, plan, and manage automation testing processes.
  • Develop and implement vision control programming for automated inspection and validation.
  • Create scalable automation testing scripts using Python.
  • Draft test plans, generate reports, and set up testing environments.
Education & Experience
  • Education: Bachelor’s degree in Electrical Engineering, Automation Engineering, Computer Engineering, or a related field.
  • Experience: 2–7 years of experience in automation engineering, vision systems, and scripting for automated testing.
Required Technical Skills
  • Proficiency in Python for automation scripting.
  • Experience with vision control programming (e.g., OpenCV, machine vision systems).
  • Familiarity with automation frameworks and testing methodologies.
  • Knowledge of hardware-software integration for automated systems.
  • Ability to design and manage test plans and reports.
Preferred Skills
  • Experience with robotics or automated inspection systems.
  • Familiarity with image processing and vision algorithms.
  • Strong analytical and problem-solving skills with attention to detail.
Key Performance Indicators (KPIs)
  • Automation Coverage: Implement automation for ≥90% of applicable processes.
  • Vision System Accuracy: Maintain ≥95% detection accuracy in vision control processes.
  • Script Reliability: Ensure
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