Manufacturing Process Engineer: Lean & CI Innovator

ZT Systems

Georgetown (TX)

On-site

USD 90,000 - 120,000

Full time

14 days+

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Benefits offered by this job

Competitive base salary
Performance-based bonus
401(k) retirement savings plan
Tuition reimbursement
Medical, dental & vision coverage
Life and disability insurance
Paid time off & holidays
Parental leave

Job summary

ZT Systems is seeking a Manufacturing Process Engineer to lead measurement and analysis of manufacturing processes, develop processes and tooling, and drive continuous improvements across the end-to-end production cycle. You will support mass production efficiency and new product introductions within a fast-paced environment.

The role requires a bachelor’s in engineering and 2+ years in manufacturing, with a strong focus on Lean, Six Sigma, and data analytics.

Qualifications

  • Experience with continuous improvement methodologies (Lean, Kaizen, Six Sigma).
  • Ability to mine data and derive actionable insights for process improvements.
  • Strong communication and collaboration skills in cross-functional teams.

Responsibilities

  • Design, implement, and measure manufacturing processes and tooling.
  • Document SOPs and train operators to drive efficiency and consistency.
  • Lead continuous improvement and support New Product Introduction with DFMEA/DFM considerations.

Skills

Continuous Improvement
Lean
Kaizen
Six Sigma
Data analysis
Data mining
Communication
Problem solving
Microsoft Excel
Teamwork

Education

Bachelors in Industrial/Mechanical/Computer Engineering

Tools

Microsoft Excel

Job description

ZT Systems is seeking a Manufacturing Process Engineer to lead measurement and analysis of manufacturing processes, develop processes and tooling, and drive continuous improvements across the end-to-end production cycle. You will support mass production efficiency and new product introductions within a fast-paced environment.

The role requires a bachelor’s in engineering and 2+ years in manufacturing, with a strong focus on Lean, Six Sigma, and data analytics.

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