Manufacturing Systems And Simulation Mp&p Engineer – Data Engineering

Boeing Australia Holdings

North Charleston, SC, United States
Summary pyy range for mid-level: $112,200 – $151,8...
On-site
Software systems development
Automated hardware systems
Industrial robotics
Boeing Australia Holdings is seeking a Manufacturing Systems and Simulation MP&P Engineer for their Production System Modeling, Simulation & Analysis team in North Charleston, SC. The ideal candidate will have experience in aerospace or manufacturing, strong programming skills, and a collaborative mindset, working primarily on-site

Job Summary

  • The chosen candidate will support the Production System Modeling, Simulation & Analysis team, responsible for creating and implementing technical solutions that drive innovation into the aircraft production process.
  • Develop, document, and maintain architecture, requirements, algorithms, interfaces, and design for software systems, automated hardware systems, and industrial robotics.
  • The teams are currently hiring for a broad range of experience levels including Mid-Level and Lead Engineers.

Matching Summary

Match Score: 85

Boeing Australia Holdings is seeking a Manufacturing Systems and Simulation MP&P Engineer for their Production System Modeling, Simulation & Analysis team in North Charleston, SC. The ideal candidate will have experience in aerospace or manufacturing, strong programming skills, and a collaborative mindset, working primarily on-site.

Salary

Summary Pay Range for Mid-level: $112,200 – $151,800; Summary Pay Range for Lead : $136,850 – $185,150; Benefits: Health insurance, flexible spending accounts, health savings accounts, retirement savings plans, life and disability insurance programs, paid and unpaid time away from work

Skills & Requirements

Must-have

  • software systems development
  • automated hardware systems
  • industrial robotics
  • integration of factory automation equipment
  • Python, C, C++, Java programming

Nice-to-have

  • data modeling techniques
  • advanced data analytics
  • AI tools for performance data
  • cross-functional engineering workflows
  • process innovation initiatives

Key Requirements

  • Bachelor of Science degree in Engineering, Computer Science, Mathematics, Physics, Chemistry or non-US equivalent
  • 3+ years of experience in Aerospace, Manufacturing, Quality, or regulated industry
  • 3+ years of experience with integration of factory automation equipment

Work Rights

Not specified

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