Bright Machines
Quality Inspector - Night Shift
Florence, Kentucky · Mid
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About the role
- Quality Inspectors at Bright Machines are responsible for ensuring assemblies, racks, and integrated hardware systems meet Bright Machines' quality, safety, and performance standards before release.
- You will work closely with Manufacturing, Test Engineering, and Supply Chain to ensure every system meets specification and is ready for deployment.
Responsibilities
- Document inspection results and maintain accurate quality records.
- Identify, document, and manage non-conforming materials (NCMs).
- Support root cause investigations and corrective action processes.
- Partner with Manufacturing and Engineering to improve quality and reduce defects.
Requirements
- Experience with ESD handling procedures and electronic component inspection.
- Proficiency using measurement tools (calipers, torque tools, multimeters, etc.).
- Experience with server rack builds, networking equipment installation, or data center hardware integration.
- Familiarity with IPC standards or ISO-based quality systems.
Nice to have
- Conduct in-process inspections during mechanical and electrical assembly.
- Inspect for proper torque, labeling, cable routing, grounding, and workmanship standards.
- Ensure compliance with safety and ESD (Electrostatic Discharge) protocols.
- High school diploma or equivalent required
- technical certification preferred.
- 3+ years of quality inspection experience in server assembly, electronics manufacturing, data center hardware, or electromechanical systems.
- Ability to read and interpret mechanical drawings, wiring diagrams, and assembly instructions.
Company info
- At Bright Machines, we're innovators and experts in our craft who have joined together to manufacture the AI and data center infrastructure at the edge.
- Working with us means you'll have the opportunity to make lasting, impactful changes for our company and our customers.
This listing is sourced directly from Bright Machines's careers page and normalized into a canonical job model.