Lead Frame Process Engineer — Drive Innovation & Efficiency

Texas Instruments Incorporated

Mabalacat

On-site

PHP 600,000 - 900,000

Full time

14 days+
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Job summary

Texas Instruments Incorporated is seeking an energetic engineer to join our manufacturing team in the Philippines. The role focuses on driving continual improvement at all levels, with emphasis on lead frame, epoxy and mold compound processes during the NPI stage.

The ideal candidate will manage projects, analyze data and collaborate across functions to implement optimization initiatives in a fast-paced semiconductor environment.

Qualifications

  • 5 years relevant experience
  • Bachelor's degree in Chemical Engineering, Chemistry, Electrical Engineering, Materials Science Engineering, Mechanical Engineering, Physics or a related field
  • Strong foundation in statistical process control, engineering change control and process release strategies

Responsibilities

  • Handle lead frame conversion projects including project identification, qualification plan alignment, qualification and fan out.
  • Handle the road map of lead frame, epoxy and mold compound in NPI stage.
  • Implement project or improvement plans on lead frame design optimization, including efficiency improvements, cost reduction or quality improvement programs, new product support and other process improvements.
  • Participate in data analysis, problem resolution and project management.

Skills

Statistical process control
Engineering change control
Process release strategies

Education

Bachelor's degree in Chemical Engineering, Chemistry, Electrical Engineering, Materials Science Engineering, Mechanical Engineering, Physics or related field

Job description

Texas Instruments Incorporated is seeking an energetic engineer to join our manufacturing team in the Philippines. The role focuses on driving continual improvement at all levels, with emphasis on lead frame, epoxy and mold compound processes during the NPI stage.

The ideal candidate will manage projects, analyze data and collaborate across functions to implement optimization initiatives in a fast-paced semiconductor environment.

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