Specialist, Manufacturing Engineer
L3HARRIS Technologies
Waco, TX · Posted November 10, 2026
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About the job
Job Title : Specialist, Manufacturing Engineer (Industrial)
Job Code: 46974
Job Location: Waco, TX
Job Schedule: 9/80: Employees work 9 out of every 14 days- totaling 80 hours worked- and have every other Friday off
Job Description:
L3Harris is seeking an Industrial Engineer Level 3 to support manufacturing operations in Waco, Texas. This role combines product-line layout and manufacturing process engineering to improve safety, quality, delivery, productivity, and cost. The successful candidate will work directly with production teams to develop effective line layouts, analyze and improve production processes, and translate data and floor observations into practical improvements that can be sustained in production.
Essential Functions:
Develop, evaluate, and improve product-line layouts, work-cell designs, material presentation, and production flow to support safe, efficient, and scalable operations.
Conduct time studies, productivity assessments, line balancing, capacity analysis, and workflow evaluations to support production plans and business commitments.
Analyze labor utilization, material flow, work content, and manufacturing performance to identify constraints and improvement opportunities.
Lead and support process improvements using Six Sigma and Lean Manufacturing tools to eliminate production waste and improve flow, quality, delivery, and cost performance.
Use data analytics and statistical tools to identify bottlenecks, waste, variation, and improvement opportunities; develop, monitor, and communicate manufacturing metrics and dashboards.
Provide hands-on, on-floor support to resolve production issues and improve manufacturability, ergonomics, safety, quality, throughput, and standard work; participate in root-cause analysis and structured problem-solving efforts.
Collaborate with Manufacturing, Operations, Quality, Engineering, Supply Chain, Finance, and Production Planning to implement improvements, resolve cross-functional issues, and ensure compliance with aerospace industry standards, regulations, and site safety protocols.
Participate in the development of new and modified production processes, including new product introduction, equipment integration, process changes, proposal activities, and production readiness reviews; develop and maintain documentation for processes, standards, and procedures.
Present technical findings, recommendations, status, and business impact to stakeholders at multiple organizational levels.
Provide guidance and informal mentoring to engineers, specialists, and production personnel on industrial engineering and continuous improvement methods.
Qualifications:
Bachelor’s degree in industrial engineering, Manufacturing Engineering, or a related technical field and a minimum of 4 years of relevant experience; or a graduate degree and a minimum of 2 years of relevant experience. In lieu of a degree, a minimum of 8 years of relevant experience may be considered.
Demonstrated experience working in a production or manufacturing environment, including direct engagement with production personnel and processes. Academic, laboratory, or purely office-based experience alone does not meet this requirement.
Experience applied in industrial engineering, Lean, Six Sigma, or structured problem-solving methods to improve manufacturing performance.
Preferred Additional Skills:
Experience in aerospace, defense, electronics, or another high-reliability or regulated manufacturing environment.
Lean or Six Sigma certification, such as Green Belt and Black Belt.
Experience with product-line layout, facility or work-cell design, value stream mapping, line balancing, capacity planning, production scheduling, or discrete-event simulation.
Experience with manufacturing KPIs, labor standards, standard work, ergonomics, and production system design.
Proficiency with Microsoft Excel and PowerPoint; experience with Power BI, Tableau, SQL, Python, Minitab, JMP, FlexSim, Plant Simulation, or CAD is a plus.
Familiarity with AI-enabled productivity and data-analysis tools, including Claude, Codex, or comparable tools, is also desirable.
Experience facilitating cross-functional teams, training production personnel, or leading improvement projects.