About The Position

L3Harris is seeking an innovative, analytically driven Senior Industrial Engineer to join its Industrial Engineering team at the Palm Bay, Florida facility. The role combines classical industrial engineering methods with modern data analytics to design, optimize, and scale production systems for mission-critical aerospace and defense products. It involves both predictive modeling and dashboard development as well as factory-floor studies, facility layout development, and capacity analysis. The position will influence production strategy, automate analytical workflows, and contribute to the future state of manufacturing.

Requirements

  • Bachelor’s degree in Industrial, Mechanical, Electrical, Manufacturing, or Aerospace Engineering, or a related field, with 6 years of prior relevant experience; or a graduate degree with 4 years of prior experience; or, in lieu of a degree, at least 10 years of prior related experience.
  • Demonstrated experience as an Industrial Engineer with strong analytical and quantitative skills.
  • Proven ability to conduct complex production planning, scheduling, and capacity analysis.
  • High proficiency in data analytics, including hands-on experience with Python, SQL, forecasting models, simulation tools, and dashboarding platforms such as Power BI.
  • Expertise applying industrial engineering principles to optimize manufacturing systems, including facilities planning, line balancing, standard work, and resource modeling.

Nice To Haves

  • Industrial Engineering degree strongly preferred.
  • Experience with MRP/ERP systems such as SAP or similar platforms.
  • Knowledge of Manufacturing Execution Systems (MES).
  • Experience with AutoCAD for facility and workflow design.
  • Ability to obtain a DoD clearance.
  • Background in mentoring, project management, or leading cross-functional initiatives.
  • Experience with throughput simulation, discrete-event modeling, or advanced operations research methods.
  • Familiarity with lean manufacturing, digital manufacturing, or Industry 4.0 initiatives.
  • Familiarity with AI development tools such as Codex.
  • Strong problem-solving skills and ability to navigate ambiguity in fast-paced manufacturing environments.
  • Excellent communication skills and ability to influence across functions.

Responsibilities

  • Develop, optimize, and maintain production plans, schedules, and capacity models that support cost, schedule, and delivery objectives.
  • Analyze complex datasets to identify constraints, uncover trends, and recommend data-driven production improvements.
  • Create predictive models, including forecasting and throughput models, and apply operations research techniques to support long-range planning and resource allocation.
  • Design and optimize factory layouts, workflows, and workcells using industrial engineering principles, simulation tools, and lean methodologies.
  • Build automated dashboards and analytics tools, such as those using Python, SQL, and Power BI, to improve visibility, decision-making, and real-time performance tracking.
  • Lead process improvement initiatives to enhance productivity, reduce variability, and increase operational efficiency.
  • Collaborate with Production, Supply Chain, Quality, Program Management, and Engineering to align production requirements with business objectives.
  • Mentor junior engineers and production planners in analytics, modeling, and industrial engineering methods.
  • Stay current with emerging technologies, advanced manufacturing methods, and data science trends to improve engineering practices.
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