Jobs / United States / Boeing Company

Boeing Company

Manufacturing Systems and Simulation MP&P Engineer

USA - North Charleston, SC Posted today

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Skills this job asks for

CommunicationAgileProject managementCNCLogistics

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Sponsorship verdict

Sponsorship possible

One solid signal, not two. Worth applying, and worth asking about sponsorship early.

  • Employer is on a government sponsor recordThe US Department of Labor certified 72 H-1B/E-3 labor condition applications for this employer between Oct 2025 and Jun 2026 (latest Jun 2026) — the step every H-1B hire needs first.
  • The posting doesn’t mention sponsorshipSilence isn’t a refusal — ask the recruiter before investing much time.
  • No salary bar for this routeH-1B has no fixed salary bar: the employer must pay at least the prevailing wage for the role and area.
  • What Boeing Company paid sponsored hires in similar roles5 certified filings for “Manufacturing Engineer (Assembly and Installation)” (Industrial Engineers) in WA: $144k–$150k, median $145k.
  • Confirmed live todayWhen a source last listed this job as open.
Details and sources
Employer is on a government sponsor record
The US Department of Labor certified 72 H-1B/E-3 labor condition applications for this employer between Oct 2025 and Jun 2026 (latest Jun 2026) — the step every H-1B hire needs first. Source: LCA disclosure data (US Department of Labor (OFLC)).
No salary bar for this route
H-1B has no fixed salary bar: the employer must pay at least the prevailing wage for the role and area. Cap-subject employers enter a lottery weighted by wage level. Source: https://www.federalregister.gov/documents/2025/12/29/2025-23853/weighted-selection-process-for-registrants-and-petitioners-seeking-to-file-cap-subject-h-1b, rules effective 2026-02-27.
What Boeing Company paid sponsored hires in similar roles
5 certified filings for “Manufacturing Engineer (Assembly and Installation)” (Industrial Engineers) in WA: $144k–$150k, median $145k. Most were filed at wage level IV (100%) — 4 lottery entries, ≈61% projected selection odds for cap-subject employers. Source: US Department of Labor LCA disclosure data (Oct 2025 – Jun 2026).

US H-1B: cap-subject employers enter a lottery weighted by wage level — Level I gets 1 entry, Level IV gets 4 (DHS projected selection odds ≈15% at Level I to ≈61% at Level IV). Universities and non-profit research employers are cap-exempt. The $100,000 fee for new petitions from abroad is currently blocked by a court order (appeal pending).

A verdict summarises public evidence. It is not legal advice and never a guarantee: the employer and the immigration authority decide. Sign in to factor in where you can already work.

About the role

Manufacturing Systems and Simulation MP&P Engineer Company: The Boeing Company A t 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. Advanced Production and Automation is seeking a Manufacturing Systems and Simulation MP&P Engineer – Modeling & Simulation (Mid-Level or Lead) for the Production System Modeling, Simulation & Analysis team in North Charleston, SC. The chosen candidate will support the Production System Modeling, Simulation & Analysis team. We are an engineering team which is responsible for creating and implementing technical solutions that drive innovation into the aircraft production process.  This team begins with ideas and concepts and delivers implementable hardware/software/industrial robotics solutions that support multiple programs across Boeing’s platforms. We also lead non-program specific research and development efforts for our government customers in alignment with External Technical Associations. The chosen candidate will be motivated, self-driven and will have excellent written and verbal communication skills. The candidate will work in a team environment to provide solutions to a variety of technical problems of moderate scope and complexity. The candidate will support various projects, including research, test, development, and implementation for the Production System Modeling, Simulation & Analysis team 100% in-person. Some of the work we perform may take us to locations outside of the South Carolina area. Therefore, there will be times when business travel is required. Position Responsibilities: • Develop, document, and maintain architectures, requirements, algorithms, interfaces, and design for software systems, automated hardware systems, and industrial robotics • Develop and maintain code and integrate software components into a fully functional software system • Perform engineering activities including development, integration, and testing of automated hardware systems • Influence, innovate and continuously improve the engineering processes as well as the quality, safety and reliability of our products and services • Collaborate proactively with customers, stakeholders, and peers to understand operational and performance expectations • Support agile project management, project estimation, and planning • Intellectual curiosity and willingness to learn and work with new technologies • Cultivate a positive team culture Basic Qualifications (Required Skills/Experience): • Bachelor of Science degree from an accredited course of study in engineering, engineering technology (includes manufacturing engineering technology), chemistry, physics, mathematics, data science, or computer science • 3+ years of industry experience in aerospace or large-scale manufacturing • Programming experience with at least one software programming language • 3+ years of experience in programming and integrating automated manufacturing equipment, including CNC, PLC, and robotic systems, leveraging CAD/CAM and real-time software development Preferred Qualifications (Desired Skills/Experience): • Level 3: 5+ years of related work experience or an equivalent combination of education and experience • Level 4: 9+ years of related work experience or an equivalent combination of education and experience • Skilled in applying data modeling techniques and tools to translate complex business processes into scalable data architectures • In-depth knowledge of cross-functional engineering workflows and their influence on manufacturing, logistics, and business operations • Ability to interpret and communicate complex

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