Industrial Engineer (Manufacturing Industrial Engineering) at Boeing
San Antonio, TX 78226, USA -
Full Time


Start Date

Immediate

Expiry Date

22 Nov, 25

Salary

81650.0

Posted On

23 Aug, 25

Experience

1 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Machine Learning, Text Mining, Natural Language Processing, Statistics, Data Mining, Industrial Engineering, Lean Processes, Visual Analytics, Continuous Process Improvement

Industry

Mechanical or Industrial Engineering

Description

At Boeing, we innovate and collaborate to make the world a better place. We’re committed to fostering an environment for every teammate that’s welcoming, respectful and inclusive, with great opportunity for professional growth. Find your future with us.
We are Boeing Global Services (BGS) Engineering team creating and implementing innovative technologies that make the impossible possible and enabling the future of aerospace. We provide engineering design and support, including aftermarket modifications, and are innovating to make product and services safety even stronger. Join us and put your passion, determination, and skill to work building the future! #TheFutureIsBuiltHere #ChangeTheWorld
Boeing Global Services is currently seeking an Entry Level Industrial Engineer to become part of the C-17 Production Engineering team in San Antonio, TX.
This position will also support the C-17 UDLM Center of Excellence as this group works to develop new teams and processes.

BASIC QUALIFICATIONS (REQUIRED SKILLS/EXPERIENCE):

  • Bachelor’s Degree or higher from an accredited course of study in Industrial Engineering, Mechanical Engineering or a related field.
  • 1+ years of experience with Industrial Engineering or Methods Process Analyst.
  • 1+ years of experience with extracting and compiling data from multiple sources.
  • 1+ years of experience with implementing continuous process improvement, lean processes, and employee involvement and engagement strategies.

PREFERRED QUALIFICATIONS (DESIRED SKILLS/EXPERIENCE):

  • Experience with organizational and team building skills performed in a cross-functional environment.
  • Experience with modeled and analyzed business processes, information models, and system architectures.
  • Have knowledge in data analysis algorithms (e.g. data mining, statistics, machine learning, natural language processing, text mining, visual analytics).
  • Experience with knowledge in data analysis algorithms (e.g. data mining, statistics, machine learning, natural language processing, text mining, visual analytics.
Responsibilities
  • Applies industrial engineering concepts, approaches and techniques to product, process and services to meet program requirements of moderate complexity.
  • Maintains and develops plant and equipment layouts, capacity plans, accident prevention measures, sequencing of operations and workflows.
  • Supports the evaluation of new techniques and technological developments for integration into the production process and service operations.
  • Designs, maintains, and optimizes the production system by integrating design, supply base, facilities, equipment, and personnel.
  • Completes workflow design and analysis.
  • Develops moderately complex models, databases and spreadsheets to analyze data and provides summary analysis and metrics for consultation to leaders.
  • Assists with research, design, development, improvement, and implementation of processes and tools to enhance schedule performance, lower cost, and improve quality, for large scale systems integration and asset utilization.
  • Develops and implements plans and programs for facility/factory modifications and revisions to operating methods.
  • Provides product assembly instructions and standardizes assembly practices.
  • Prepares operations plans, includes work statement analysis, budgeting and forecasts, capacity and constraint analysis and production change, to ensure technical goals and objectives are met.
  • Supports execution planning by using project management, planning and scheduling and shop load practices.
  • Provides production, supply chain logistics, performance visibility and recovery planning support of moderate complexity.
  • Reconciles compliance with established industry safety, design standards and ergonomic guidelines.
  • Willing to work overtime, weekends, and holidays, if required.
  • May be requested to support additional programs as needed.
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