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Engineer, Manufacturing & Process

Job in Brownwood, Brown County, Texas, 76801, USA
Listing for: Kohler
Full Time position
Listed on 2026-09-02
Job specializations:
  • Manufacturing / Production
    Lean Manufacturing / Six Sigma, Quality Engineering, Manufacturing Engineer
  • Engineering
    Lean Manufacturing / Six Sigma, Process Engineer, Quality Engineering, Manufacturing Engineer
Salary/Wage Range or Industry Benchmark: 93000 - 118000 USD Yearly USD 93000.00 118000.00 YEAR
Job Description & How to Apply Below

Kohler seeks a Manufacturing & Process Engineer to drive safety, quality, and efficiency in our manufacturing operations. You will analyze and optimize production processes, apply Lean and continuous improvement methods, and lead root-cause problem solving. Partnering with cross-functional teams, you'll support new product introductions, equipment selection, line layout, and process documentation. In Kohler's craftsmanship- and innovation-driven culture, you'll leverage data, automation, and sustainable practices to enhance performance and deliver best-in-class products worldwide.

Responsibilities

  • Analyze and optimize manufacturing processes for safety, quality, cost, and throughput.
  • Implement Lean and continuous improvement initiatives to reduce waste and variability.
  • Develop and update process documentation, work instructions, and standard operating procedures.
  • Lead root-cause analysis and corrective actions for quality and production issues.
  • Collaborate with design, maintenance, and operations teams on new product and process introductions.
  • Support equipment selection, layout, and line balancing to improve efficiency.
  • Monitor key performance indicators and use data to drive decision making.
  • Ensure compliance with safety, environmental, and quality standards.
  • Train operators and technicians on new processes and best practices.
  • Support implementation of automation and advanced manufacturing technologies.

Required Skills

  • Manufacturing process engineering
  • Lean manufacturing
  • Six Sigma/continuous improvement
  • Statistical process control (SPC)
  • Root-cause analysis/5 Whys/FMEACAD and process layout tools
  • Data analysis and KPI tracking
  • Automation and industrial equipment familiarity
  • Process documentation and SOPs
  • Quality systems and ISO standards
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