Bright Machines

Bright Machines

Assembly Technicians - Night Shift

Florence, Kentucky

Sponsorship not specifiedDetected 49 days ago
Machine LearningERPRoboticsMedical DevicesCommunicationProblem Solving

About the role

  • Bright Machines is on a mission to transform how electronics are made-bringing intelligence, scalability, and flexibility to the factory floor.
  • We combine the best of automation, machine learning, and software to modernize manufacturing from the ground up.
  • We are looking for an Automated Assembly Operator to join our team.

Responsibilities

  • Stage, replenish, and scan materials to maintain continuous flow through automated stations.
  • Maintain a safe work environment and comply with EHS requirements for automation and robotics.
  • Maintain 5S standards around automated work cells to prevent downtime and quality issues.
  • Collaborate with Automation Technicians, Process Engineers, and Quality teams to support production flow.
  • Document defects, deviations, and trends; escalate issues to Quality or
  • Perform basic rework within defined tolerances and procedures.
  • Perform routine cleaning and basic preventive maintenance, including sensor cleaning, feeder checks, and alignment verification.

Requirements

  • High school diploma or equivalent required.
  • Ability to read work instructions, visual diagrams, and digital work orders.
  • Basic understanding of mechanical, electrical, or robotic systems is helpful but not required.

Nice to have

  • Familiarity with robotics-assisted or software-controlled production lines is a plus.

Skills

  • Use MES and digital tools to confirm process steps and record production data.

Benefits

  • Operate, monitor, and support automated assembly systems, including robotics, vision systems, conveyors, and workcells.

Company info

  • They work where automation and hands-on work meet, supporting robotic cells, production equipment, and assembly steps that build complex server components for our customers.

This listing is sourced directly from Bright Machines's careers page and normalized into a canonical job model.