Semiconductor Maintenance Technician — 12-Hour Shifts

Texas Instruments Incorporated; Lehi (UT); Vor Ort; USD 42.000 - 65.000; Vollzeit

Zusammenfassung

Texas Instruments Incorporated in Lehi, Utah, is seeking an experienced Manufacturing Maintenance Specialist to sustain production lines with reliable, safe maintenance practices. You will perform scheduled maintenance, manage parts, and qualify equipment for production readiness.

The role requires hands-on maintenance experience, the ability to work 12-hour shifts including weekends, and strong collaboration with cross-functional teams to drive lasting improvements and uptime.

Qualifikationen

• Must be 18 years or older.
• 2 years of hands-on mechanical maintenance or repair experience.
• Ability to work a 12-hour compressed schedule.
• Flexibility to work day or night shifts including at least one weekend shift and holidays.

Aufgaben

• Execute scheduled maintenance work adhering to the approved method for all tasks.
• Track and assemble parts required to complete maintenance ahead of time.
• Complete qualifications to bring equipment out of maintenance state and into production.
• Track critical data from maintenance to define opportunities for improvement and uptime.

Kenntnisse

Hands-on maintenance

Troubleshooting

Team collaboration

Electrical/mechanical aptitude

Ausbildung

High School Diploma or equivalent

Jobbeschreibung

Change the world. Love your job.
Are you looking for a career at one of the leading semiconductor companies in the world? Texas Instruments (TI) is looking for an experienced Manufacturing Maintenance Specialist to join our team.

Primary and Secondary Responsibilities:

• Execute scheduled maintenance work adhering to the approved best known method for all tasks completed
• Tracking and assembling of all parts required to complete maintenance ahead of time
• Completion of qualifications required to bring equipment fully out of maintenance state and into production
• Tracking of critical data from performed maintenance to define improvement opportunities for optimal PM performance