Process Engineer: Innovate & Optimize Manufacturing

Clarion Technologies

Garland (TX)

On-site

USD 75,000 - 85,000

Full time

14 days+
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Job summary

Clarion Technologies in Garland, TX is seeking a Process Engineer to support manufacturing through development and optimization of new products and processes. The role focuses on handling 1st-shot samples, robot programming, EOAT assembly, and seamless hand-off to production teams, while driving continuous improvement initiatives.

The ideal candidate will have a bachelor's degree or at least 2 years of related experience, strong communication across levels, basic math skills, and comfort with

Qualifications

  • Bachelor's degree or 2 years related experience.
  • Able to communicate with all levels of staff.
  • Basic math skills required for procedures and measurements.
  • Proficient computer usage in a network environment.
  • Knowledge of advanced engineering concepts and plastics tech.
  • Able to work under tight deadlines and travel as needed.

Responsibilities

  • Perform 1st shot samples and hand off to production for Launch group.
  • Program robots, assemble EOAT and troubleshoot issues.
  • Develop, optimize, and document new/improved processes.
  • Identify and adopt new technologies aligned with business goals.
  • Develop and support continuous improvement plans.
  • Troubleshoot complex process, tool, and machine issues.
  • Provide technical support to manufacturing and operations.
  • Update process monitoring documents to meet production needs.
  • Participate in Launch meetings and review tool drawings, DFMs.
  • Initiate internal problem solving/improvement activities.

Skills

Communication
Math skills
PC literacy
Engineering concepts
Travel flexibility
Overtime willingness
Fast-paced environment

Education

Bachelor's degree or 2 years experience

Job description

Clarion Technologies in Garland, TX is seeking a Process Engineer to support manufacturing through development and optimization of new products and processes. The role focuses on handling 1st-shot samples, robot programming, EOAT assembly, and seamless hand-off to production teams, while driving continuous improvement initiatives.

The ideal candidate will have a bachelor's degree or at least 2 years of related experience, strong communication across levels, basic math skills, and comfort with

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