Hands-On Machine Vision Hardware Engineer

Real Staffing; Jacksonville (FL); On-site; USD 65,000 - 85,000; Full time

Job summary

Real Staffing seeks a detail-oriented Machine Vision Hardware Engineer to support qualification and validation across imaging technologies. This early-career role emphasizes hands-on hardware work, testing execution, data collection, and technical report generation in a lab setting.

The ideal candidate has 0–4 years of experience, a strong interest in camera hardware, optics, and documentation, and is comfortable working onsite in a lab environment.

Qualifications

• Bachelor's degree in a related technical discipline.
• 0–4 years of relevant experience in machine vision or hardware testing.
• Strong understanding of machine vision fundamentals.
• Experience with cameras, optics, sensors, or related hardware.

Responsibilities

• Support qualification and validation activities for multiple imaging technologies.
• Configure, integrate, and troubleshoot camera hardware and vision system components.
• Work with optics, cameras and related hardware in a lab environment.
• Execute established imaging qualification methodologies and testing procedures.
• Generate comprehensive image qualification reports using templates and standards.
• Improve and refine qualification documentation where appropriate.
• Maintain records and configuration control for hardware setups.
• Collaborate with engineering teams to ensure testing follows standards.

Skills

Machine vision fundamentals

Hardware testing

Technical documentation

Lab environment work

Education

Bachelor's degree in Electrical Engineering, Computer Engineering, Optical Engineering, Physics, Mechatronics

Tools

GigE Vision

Camera hardware integration

Job description

Real Staffing seeks a detail-oriented Machine Vision Hardware Engineer to support qualification and validation across imaging technologies. This early-career role emphasizes hands-on hardware work, testing execution, data collection, and technical report generation in a lab setting.

The ideal candidate has 0–4 years of experience, a strong interest in camera hardware, optics, and documentation, and is comfortable working onsite in a lab environment.