General Atomics
General Atomics

Industrial Engineer

Poway, CA, US • Posted 29 days ago • Updated 12 hours ago
Full Time
On-site
USD 98,100.00 per year
Fitment

Dice Job Match Score™

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Job Details

Skills

  • Surveillance
  • FOCUS
  • Software Design
  • Real-time
  • Process Improvement
  • Industrial Engineering
  • Lean Methodology
  • Program Management
  • Profit And Loss
  • Leadership
  • Logistics
  • Regulatory Compliance
  • Documentation
  • Investments
  • Database
  • Decision-making
  • Business Intelligence
  • Data Manipulation
  • Programming Languages
  • SQL
  • DAX
  • Python
  • Mechanical Engineering
  • Electrical Engineering
  • Impact Analysis
  • Collaboration
  • Bill Of Materials
  • Kaizen
  • Conflict Resolution
  • Problem Solving
  • Lean Six Sigma
  • Arena
  • Microsoft Office
  • Enterprise Resource Planning
  • SAP
  • AutoCAD
  • Data Analysis
  • Minitab
  • Microsoft Power BI
  • Tableau
  • Resource Planning
  • Layout
  • Optimization
  • Streaming
  • Manufacturing
  • Aerospace
  • AS9100
  • RCCA
  • Management
  • DoD
  • Security Clearance

Summary

Job Summary

General Atomics Aeronautical Systems, Inc. (GA-ASI), an affiliate of General Atomics, is a world leader in proven, reliable remotely piloted aircraft and tactical reconnaissance radars, as well as advanced high-resolution surveillance systems.

We currently have an exciting opportunity in Poway, CA. for an Industrial Engineer within our ASI Division. This position will focus on collaborating with cross-functional experts to design and implement cutting-edge BI solutions, uncovering opportunities and driving data-driven strategies that revolutionize our manufacturing processes

DUTIES AND RESPONSIBILITIES:
  • BI Solution Design: Craft and implement advanced Business Intelligence solutions that enable real-time monitoring and predictive analysis of our industrial engineering processes.
  • Data Strategy Mastery: Leverage your experience to devise and execute data-driven strategies that align with GA-ASI's overarching goals. Collaborate close with cross-functional teams to identify critical data sources, extract relevant insights, and shape the future of our business.
  • Complex Data Analysis: Dive deep into intricate datasets to uncover hidden patterns, anomalies, and trends. Utilize your statistical expertise to provide comprehensive analyses that drive operational improvements and process optimizations.
  • Lead the analysis and optimization of manpower, facility space, materials, equipment, and information flow for major processes or value streams.
  • Drive the design and implementation of advanced process improvements across manufacturing, logistics, and operations, often spanning multiple departments or sites.
  • Act as a primary industrial engineering resource on cross-functional projects, operating with minimal direction and significant responsibility for results.
  • Anticipate operational risks and future capacity or capability needs; develop robust, data-driven solutions to complex technical and business problems.
  • Lead the resolution of complex technical issues, selecting and applying advanced industrial engineering, lean, and automation concepts.
  • Collaborate closely with Design Engineering to influence product and process architectures during prototype, development, and first article phases to enable scalable, efficient production.
  • Partner with Operations Program Management and P&L leadership to define and optimize processes for international operations and foreign customers, including logistics and compliance considerations.
  • Establish, standardize, and continuously improve work instructions, routings, and process documentation for multiple product families or production areas.
  • Communicate technical strategies, process changes, and improvement results clearly and persuasively to stakeholders at multiple levels, including management.
  • Contribute significantly to site or business-level planning, including data and recommendations for capital investments, automation, footprint optimization, and digital transformation initiatives.

We recognize and appreciate the value and contributions of individuals with diverse backgrounds and experiences and welcome all qualified individuals to apply.

Job Qualifications

  • Typically requires a bachelors degree, masters degree or PhD in engineering or a related technical discipline from an accredited institution and progressive engineering experience as follows; six or more years of experience with a bachelors degree, four or more years of experience with a masters degree, or two or more years with a PhD. May substitute equivalent engineering experience in lieu of education.
  • Manage complex database relationships and perform advanced statistical data analysis to enable comprehensive, insight-driven decision making.
  • Proven expertise in utilizing BI tools such as Tableau, Power BI, or similar platforms to create impactful visualizations and reports.
  • Expertise in data manipulation and analysis using programming languages such as SQL, DAX, and Python.
  • Preferred engineering disciplines include Industrial, Manufacturing, Mechanical, and Electrical Engineering.
  • Experience in manufacturing and production environment preferred. Defense and Aeronautical industry a plus.
  • Experience managing engineering change processes, including impact analysis, coordination across functions, and implementation on the shop floor.
  • Advanced proficiency with engineering drawings, complex BOM structures, and configuration control in a production environment.
  • Demonstrated expertise applying Lean/Six Sigma methodologies to drive measurable improvements in cost, quality, delivery, and safety (e.g., leading kaizen events, advanced problem-solving). Lean/Six Sigma Green Belt required or equivalent experience leading major LSS initiatives, Black Belt preferred.
  • Experience leading the use of discrete-event simulation tools (e.g., Simio, Plant Simulation, Arena) to design, optimize, and justify changes to complex manufacturing systems.
  • Strong proficiency with Microsoft Office, ERP systems (SAP preferred), and AutoCAD tools for facility/floor layouts and tooling concepts; experience with data analysis tools (e.g., Minitab, Power BI, Tableau) desirable.
  • Proven experience in time studies, work measurement, capacity and resource planning, and layout optimization for complex processes or value streams.
  • Experience working in regulated manufacturing environments; aerospace/defense and familiarity with AS9100 and RCCA processes preferred.
  • Demonstrated ability to lead cross-functional efforts, manage multiple projects, and communicate effectively with stakeholders at various organizational levels.
  • Must be able to work extended hours as required
  • Ability to obtain and maintain a DoD secret clearance is required.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: 10100516
  • Position Id: 766e90c5e49f9d8765980f7255d57e62
  • Posted 29 days ago
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