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Lean Manufacturing Engineer

Job in Fort Worth, Tarrant County, Texas, 76102, USA
Listing for: Siemens España
Full Time position Listed on 2026-11-09
Job specializations:
  • Manufacturing / Production
    Lean Manufacturing / Six Sigma, Manufacturing Engineer, Quality Engineering, Manufacturing & Industrial Operations
Salary/Wage Range or Industry Benchmark: 63393 - 108674 USD Yearly USD 63393.00 108674.00 YEAR

Job Description & How to Apply Below

Transform the everyday with us!

Here at Siemens, we take pride in enabling sustainable progress through technology. We do this through empowering customers by combining the real and digital worlds. Improving how we live, work, and move today and for the next generation! We know that the only way a business thrive is if our people are thriving. That’s why we always put our people first.

Our global, diverse team would be happy to support you and challenge you to grow in new ways. Who knows where our shared journey will take you?

Put your engineering expertise to work solving production challenges and improving how electrical infrastructure is built. As a Lean Manufacturing Engineer with Siemens Smart Infrastructure’s Electrical Products (EP) business, you’ll apply data analysis, Lean manufacturing methods, and practical problem-solving to strengthen capacity, quality, and productivity. You’ll own defined process improvement projects and collaborate with experienced engineers and production teams on broader operational excellence initiatives, building your technical capabilities while delivering measurable results.

Your work will support reliable production of electrical products that empower customers and advance intelligent power distribution. This position is based in our manufacturing plant in Fort Worth, Texas.

You will make an impact by:
  • Executing defined manufacturing improvement projects from analysis through implementation and follow-up, coordinating milestones with stakeholders and tracking results against throughput, productivity, and cost objectives.
  • Improving production throughput by analyzing bottlenecks, balancing assembly lines, and updating capacity models and workflows to support output and delivery targets.
  • Applying Lean manufacturing methods through Kaizen events, value stream mapping, workplace organization, and standard work, collaborating with production teams to eliminate waste and sustain improvements.
  • Improving labor productivity and reducing operating costs by conducting time studies, developing and maintaining labor standards, and recommending process changes supported by measurable efficiency gains.
  • Supporting first pass yield (FPY) improvements by partnering with Quality and Operations on root cause analysis, process standardization, and error-proofing to reduce defects, scrap, and rework.
  • Maintaining Daily Management Systems (DMS) through Ops Edge, visual controls, and structured problem-solving routines, using Microsoft Excel and manufacturing dashboards to track key performance indicators (KPIs), identify trends, and support corrective actions.
  • Partnering with Operations, Quality, Logistics, Maintenance, and Supply Chain to document manufacturing best practices, support production readiness, train employees on updated standard work, and implement ergonomic and safety improvements.
You’ll win us over by having the following qualifications:

Basic Qualifications:
  • Bachelor’s degree in Industrial Engineering, Manufacturing Engineering, Mechanical Engineering, Operations Management, or a related technical field. A combination of education and directly related work experience will also be considered in lieu of a degree.
  • At least 2 years of relevant industrial engineering, manufacturing engineering, or continuous improvement experience in a manufacturing environment.
  • Experience contributing to manufacturing improvement projects, with demonstrated results in throughput, productivity, labor efficiency, quality, or operating costs.
  • Experience conducting time studies, analyzing labor requirements and production capacity, and identifying process improvement opportunities.
  • Practical experience applying Lean manufacturing methods, such as Kaizen, value stream mapping, standard work,…
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