Lead Frame Process Engineer: Drive Process Improvements

Texas Instruments Incorporated; Philippines; On-site; PHP 800,000 - 1,400,000; Full time

Job summary

Texas Instruments Incorporated is seeking a Manufacturing Process Engineer in the Philippines to drive continual improvements across lead frame processes, NPIs, and related tooling. You will lead optimization projects, analyze data, and push for cost and quality improvements.

We require 5 years of relevant experience and a strong engineering background; collaboration across functions is essential to delivering on-time milestones in a fast-paced environment.

Qualifications

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

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

Analytical thinking

Problem solving

Communication skills

Team collaboration

Time management

Initiative

Education

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

Job description

Texas Instruments Incorporated is seeking a Manufacturing Process Engineer in the Philippines to drive continual improvements across lead frame processes, NPIs, and related tooling. You will lead optimization projects, analyze data, and push for cost and quality improvements.

We require 5 years of relevant experience and a strong engineering background; collaboration across functions is essential to delivering on-time milestones in a fast-paced environment.