Lab Equipment Technician: Deployment & Predictive Maintenance

Apolis; Bridgewater Township (NJ); On-site; USD 30,000 - 47,000; Full time

Job summary

Apolis in Bridgewater, New Jersey, is seeking a hands-on Engineering Technician to support the deployment, maintenance, and logistics of test equipment in engineering lab environments. You will ensure equipment is installed, operational, and readily available to support engineering teams and project timelines.

This role embraces evolving AI-enabled tools to improve equipment reliability, optimize calibration, and reduce downtime, directly enabling engineering productivity by making equipment

Qualifications

• Hands-on experience with test equipment in engineering labs.
• Ability to install, calibrate, and troubleshoot equipment.
• Familiarity with asset management and inventory controls.
• Comfort with using data to support predictive maintenance.

Responsibilities

• Install, configure, and deploy test equipment and bench setups.
• Perform preventive maintenance, calibration tracking, and diagnostics.
• Troubleshoot equipment issues and support root-cause analysis.
• Manage equipment logistics (transport, tracking, and inventory).
• Maintain asset records in centralized systems.
• Ensure lab readiness, safety, and compliance (ESD, quality standards).
• Provide Tier 1 technical support to engineers during testing.
• Document procedures, maintenance activities, and equipment status.
• Use AI-enabled tools to monitor equipment performance, identify trends, and support predictive maintenance.
• Support data collection and validation to improve equipment analytics and AI-driven insights.

Skills

Test equipment knowledge

Technical support

Customer service

Job description

Apolis in Bridgewater, New Jersey, is seeking a hands-on Engineering Technician to support the deployment, maintenance, and logistics of test equipment in engineering lab environments. You will ensure equipment is installed, operational, and readily available to support engineering teams and project timelines.

This role embraces evolving AI-enabled tools to improve equipment reliability, optimize calibration, and reduce downtime, directly enabling engineering productivity by making equipment