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Bright Machines

Site Automation Engineer - Night Shift

Florence, Kentuckyfull timemidAdded 1 month ago

About this role

Bright Machines seeks a Site Automation Engineer to manage robotic assembly system performance and reliability at a customer facility in Florence, Kentucky. You'll troubleshoot hardware and software issues, coordinate between the customer and internal teams, and optimize system uptime on a rotating night shift schedule.

What you'll do

  • Monitor and troubleshoot robotic assembly systems using live data and diagnostic tools
  • Serve as primary technical liaison between customer, manufacturing partners, and Bright Machines experts
  • Diagnose and resolve hardware and software failures to maintain system availability
  • Drive continuous improvement initiatives based on system performance data
  • Document issues, solutions, and maintenance activities for knowledge sharing
  • Support 24/7 manufacturing operations on rotating overnight shifts

What they're looking for

  • Robotics troubleshooting and hands-on automation experience
  • PLC programming or industrial control systems knowledge
  • Diagnostic tools and live data analysis
  • Hardware diagnostics and repair
  • Strong communication and customer-facing skills
  • Problem-solving and root cause analysis
  • Manufacturing or factory automation environment experience
  • Ability to work independently on night shifts

Benefits

  • Opportunity to impact factory automation and manufacturing innovation
  • Rotating shift schedule (3 shifts one week, 4 the next) for work-life balance
  • Direct involvement with cutting-edge robotic systems
  • Collaborative team environment across multiple departments
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Bright Machines

Bright Machines builds intelligent manufacturing automation systems using robotics, vision, and sensing technology to help factories improve flexibility and efficiency. The company is hiring Site Automation Engineers to manage robotic assembly system performance at customer facilities and Robot Perception Engineers to develop vision and sensing systems for their robotic solutions.

View all jobs at Bright Machines

Likely interview questions

  • Describe your experience troubleshooting robotic or automated manufacturing systems and how you approach diagnosing hardware vs. software issues.
  • Tell us about a time you had to communicate a complex technical problem to a non-technical customer—how did you handle it?