Lead Process Engineer – Automotive Manufacturing & Optimization

Slate Auto

Warszawa

On-site

PLN 472,000 - 709,000

Full time

8 days ago

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Job summary

Slate Auto is seeking a senior Industrial Engineer to analyze, design, and optimize manufacturing processes for efficiency, quality, safety, and cost performance. This role applies industrial engineering principles to optimize labor, material flow, equipment utilization, and production systems while supporting new product launches and capacity expansion.

You will work closely with manufacturing, quality, supply chain, and automation teams to drive data-based decisions and deliver sustainable

Qualifications

  • 12+ years of automotive manufacturing experience with a Bachelor's degree.
  • 8+ years with a Master's degree.
  • 5+ years with a PhD or equivalent experience.
  • Experience with lean manufacturing, Six Sigma, and ERP systems.
  • Automotive OEM experience preferred.
  • Experience with Just-In-Time (JIT) manufacturing.

Responsibilities

  • Design and optimize manufacturing processes for efficiency and cost-effectiveness.
  • Conduct time studies, work measurement, and line balancing.
  • Implement lean manufacturing principles (Kaizen, 5S, SMED).
  • Design plant layouts, workstation ergonomics, and material flow; optimize logistics within the plant.
  • Plan manpower, machines, and tooling for new and existing programs; support capital investments.

Skills

Leadership
Cross-functional teams
Problem solving
Organizational skills
Microsoft Office
Production planning software

Education

Bachelor's degree
Master's degree
PhD or equivalent

Tools

ERP systems

Job description

Slate Auto is seeking a senior Industrial Engineer to analyze, design, and optimize manufacturing processes for efficiency, quality, safety, and cost performance. This role applies industrial engineering principles to optimize labor, material flow, equipment utilization, and production systems while supporting new product launches and capacity expansion.

You will work closely with manufacturing, quality, supply chain, and automation teams to drive data-based decisions and deliver sustainable

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