AI-Enabled Lab Equipment Technician

ACL Digital

San Diego (CA)

On-site

USD 50,000 - 70,000

Full time

14 days+

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Job summary

ACL Digital is looking for a hands-on Engineering Technician to support the deployment, maintenance, and logistics of test equipment in engineering lab environments in San Diego, California. This role is vital for ensuring that equipment is operational and supports engineering teams effectively.

The successful candidate will have a High School diploma and at least 1 year of related experience. Responsibilities include installing test equipment, preventive maintenance, troubleshooting, and using AI tools to enhance equipment reliability. This position promises to play an essential role in transitioning to more predictive operations.

Qualifications

  • 1+ year of Engineering Technician or related work experience.
  • Ability to transport and install equipment weighing at least 25 lbs.

Responsibilities

  • Install, configure, and deploy test equipment and setups.
  • Perform preventive maintenance and calibration tracking.
  • Troubleshoot equipment issues and support root-cause analysis.
  • Manage equipment logistics and maintain asset records.
  • Ensure lab readiness, safety, and compliance.
  • Provide Tier 1 technical support to engineers.
  • Document procedures and equipment status.
  • Monitor equipment performance using AI-enabled tools.

Skills

Equipment installation
Preventive maintenance
Troubleshooting
Data analysis
AI-enabled tools usage

Education

High School diploma or equivalent

Job description

ACL Digital is looking for a hands-on Engineering Technician to support the deployment, maintenance, and logistics of test equipment in engineering lab environments in San Diego, California. This role is vital for ensuring that equipment is operational and supports engineering teams effectively.

The successful candidate will have a High School diploma and at least 1 year of related experience. Responsibilities include installing test equipment, preventive maintenance, troubleshooting, and using AI tools to enhance equipment reliability. This position promises to play an essential role in transitioning to more predictive operations.

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