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Continuous Improvement Engineer

Job in Orlando, Orange County, Florida, 32885, USA
Listing for: Mitsubishi Power Americas
Full Time position
Listed on 2026-09-12
Job specializations:
  • Engineering
    Lean Manufacturing / Six Sigma, Operations Management, Quality Engineering
Salary/Wage Range or Industry Benchmark: 55000 - 75000 USD Yearly USD 55000.00 75000.00 YEAR
Job Description & How to Apply Below

Company Overview

At Mitsubishi Power, we re not just building better clean energy technologies; we re architecting a better future. Our team is boldly redefining power generation to accelerate the world s energy transition. We operate as one team, pushing toward our vision of the future. We value problem solvers, prioritize collaboration, and support each other in an inclusive culture built on accountability and authenticity by demonstrating our values:
Safety, Family, Innovative, Inclusive, Accountable & Courageous. Together, we re building the future we all aspire to - making net zero a reality.

Continuous Improvement Engineer I

Company Overview

At Mitsubishi Power, we re not just building better clean energy technologies; we re architecting a better future. Our team is boldly redefining power generation to accelerate the world s energy transition. We operate as one team, pushing toward our vision of the future. We value problem solvers, prioritize collaboration, and support each other in an inclusive culture built on accountability and authenticity by demonstrating our values:
Safety, Family, Innovative, Inclusive, Accountable & Courageous. Together, we re building the future we all aspire to - making net zero a reality.

Role Overview
  • Entry-level, full-time engineering position responsible for leading and supporting continuous improvement initiatives across manufacturing and business processes.
  • Apply engineering principles, Lean methodologies, process mapping, data analysis, and structured problem-solving tools to improve safety, quality, delivery, cost, and overall performance.
  • Partner with cross-functional teams to document current-state processes, identify gaps, develop future-state recommendations, and support process standardization.
  • Operate with guidance from the Continuous Improvement team while developing the capability to independently lead small-to-moderate improvement projects.
Key Responsibilities
  • Lead and support continuous improvement projects across manufacturing, operations, and business processes.
  • Facilitate process mapping activities, document current-state conditions, identify gaps, clarify roles and handoffs, and develop future-state recommendations.
  • Participate in shop floor improvement meetings and project follow-up activities to drive accountability and action completion.
  • Develop and maintain SIPOC diagrams, swim lane maps, process maps, standard work, work instructions, job aids, data collection templates, RASIC inputs, and visual management materials.
  • Validate processes with stakeholders, identify decision points and pain points, and support standardization across teams and business units.
  • Communicate project plans, improvement activities, findings, action items, risks, and results to stakeholders at all organizational levels.
  • Comply with all safety policies and procedures and report unsafe conditions.
  • Contribute to departmental and company goals while fostering a positive team environment.
  • Protect confidential information and maintain the highest standards of honesty and integrity.
  • Perform other duties as assigned.
Requirements
  • Bachelor s degree in Industrial Engineering, Mechanical Engineering, Manufacturing Engineering, Systems Engineering, Operations Management, or related technical discipline required.
  • Entry-level candidates, recent graduates, and early-career professionals are encouraged to apply; internship, co-op, or project experience is preferred.
  • Ability to read, interpret, and communicate technical documents, procedures, process maps, and standard work instructions.
  • Strong analytical skills with the ability to collect, organize, analyze, and interpret process data using basic statistical methods.
  • Ability to apply engineering judgment and structured problem-solving
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