Sr. Specialist, Manufacturing Engineering (Industrial Engineer)

L3Harris Technologies•Palm Bay, FL
•Onsite

About The Position

L3Harris is seeking an innovative, analytically driven Senior Industrial Engineer to join its Industrial Engineering team. 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. The position is based at the company’s Palm Bay, Florida facility and follows a 9/80 schedule: employees work 9 out of every 14 days, totaling 80 hours, with every other Friday off. The engineer will develop production plans, schedules, and capacity models; use data analytics and predictive modeling to improve planning and resource allocation; optimize factory layouts, workflows, and workcells; and build automated dashboards and analytics tools. The role also leads process improvements, collaborates across production and business functions, mentors junior engineers and production planners, and tracks emerging technologies and data science practices.

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

  • Strong problem-solving skills and ability to navigate ambiguity in fast-paced manufacturing environments.
  • Excellent communication skills and ability to influence across functions.
  • Industrial Engineering degree.
  • 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.

Responsibilities

  • Develop, optimize, and maintain production plans, schedules, and capacity models to support cost, schedule, and delivery objectives.
  • Analyze large, complex data sets to identify constraints and trends and recommend data-driven production improvements.
  • Create predictive models, including forecasting, throughput modeling, and operations research techniques, for long-range planning and resource allocation.
  • Design and optimize factory layouts, workflows, and workcells using industrial engineering fundamentals, simulation tools, and lean methodologies.
  • Build automated dashboards and analytics tools, including tools 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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