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The Boeing Company Associate Industrial Engineer in San Antonio, Texas

Job Description

At Boeing, we innovate and collaborate to make the world a better place. From the seabed to outer space, you can contribute to work that matters with a company where diversity, equity and inclusion are shared values. 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.

Boeing Aerospace Operations is currently looking for three Associate Industrial Engineers to join their Production Engineering Team in San Antonio, TX .

The Associate Industrial Engineer will support the Production Engineering Team for the Fighter Service Life Modification (SLM) Program .

In this role you will assist in the development of shop floor operating schedules, capacity planning, and development of spreadsheets to analyze data (e.g., Performance Metrics, Schedule Performance, etc). Providing summary analysis and metrics to internal customers at various levels.

You will use your skills to research, design, develop, improve and implement processes to enhance schedule performance, lower cost, and improve quality, through the application of Lean and other Industrial Engineering concepts. You will also use engineering methods to support the development of optimal process designs and efficient utilization of resources (e.g., facilities, personnel, materials, and equipment) across the Program.

Position Responsibilities:

  • Applies Industrial Engineering concepts, techniques, analysis and decision tools under general supervision to promote and assist in implementing changes in manufacturing, engineering and service operations.

  • Assists in developing models, data bases and spreadsheets to analyze data (e.g., statistics, operations research, engineering economics), and provides summary analysis and metrics for consultation to customers (e.g., management, departments, suppliers).

  • Applies general industrial engineering techniques and concepts to product and process design teams throughout all phases of product lifecycle, resulting in a robust product design and work statement that meets program requirements.

  • Assist in research, design, development, improvement and implementation of processes to enhance schedule performance, lower cost, and improve quality, through the application of Lean and other Industrial Engineering concepts for large scale systems integration and asset utilization.

  • Under general supervision, manages, defines, negotiates, and controls the scope, cost, and timing of projects, and performs risk analysis using project management tools (e.g., work break-down structure, precedence network, resource allocation).

  • Provides support to project completion.

  • Utilizes engineering methods (e.g., mathematical models, simulation, statistics) to support the development of optimal process designs and efficient utilization of resources (e.g., facilities, personnel, materials, equipment) in the creation and validation of products.

  • Under general direction, analyzes and designs value stream, including capability, capacity (e.g., make/buy, supplier selection, risk analysis, supplier performance), throughput, work flow and logistics (e.g., critical path, lead-time, transportation, factory layout).

This position is expected to be 100% onsite. The selected candidate will be required to work onsite at one of the listed location options.

This position requires the ability to obtain a U.S. Security Clearance for which the U.S. Government requires U.S. Citizenship. An interim and/or final U.S. Secret Clearance Post-Start is required.

Basic Qualifications (Required Skill/Experience):

  • Must have at least a Bachelor’s degree in Engineering, Computer Science, Mathematics, Physics, or Chemistry

  • 1+ years of experience do you have with Industrial Engineering or Methods Process Analyst

  • Experience with extracting and compiling data from multiple sources

  • Experience with implementing continuous process improvement, lean processes, and employee involvement and engagement strategies in a manufacturing environment

  • Experience working with Microsoft Office (Excel, Word, PowerPoint)

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 Model Based Engineering Design/Analysis experience through the use of advanced Modelling & Simulation and Tools & Process development

Typical Education & Experience:

Education/experience typically acquired through advanced technical education from an accredited course of study in engineering, computer science, mathematics, physics or chemistry (e.g. Bachelor) and typically 2 or more years' related work experience or an equivalent combination of technical education and experience (e.g. Master). In the USA, ABET accreditation is the preferred, although not required, accreditation standard

Relocation:

This position does not offer relocation. Candidates must live in the immediate area or relocate at their own expense.

Drug Free Workplace:

Boeing is a Drug Free Workplace where post offer applicants and employees are subject to testing for marijuana, cocaine, opioids, amphetamines, PCP, and alcohol when criteria is met as outlined in our policies.

Shift:

This position is for 1st shift.

Equal Opportunity Employer:

Boeing is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national origin, gender, sexual orientation, gender identity, age, physical or mental disability, genetic factors, military/veteran status or other characteristics protected by law.

Boeing is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national origin, gender, sexual orientation, gender identity, age, physical or mental disability, genetic factors, military/veteran status or other characteristics protected by law.

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