Project Engineer - Process Modeling & Simulation Security Clearance

Position: Project Engineer - Process Modeling & Simulation with Security Clearance
Location: Courtland

Job Number 726544

Description:

The mission matters. So do the people behind it. With advancing defense technology at our core, what sets us apart is a culture of collaboration, purpose, and impact. What is the mission? Space is a critical domain, connecting our technologies, our security and our humanity. While others view space as a destination, we see it as a realm of possibilities, where we can do more- we can innovate, invest, inspire and integrate our capabilities to transform the future.

At Lockheed Martin Space, we aim to harness the full potential of space to cultivate innovation, reduce costs, and push the boundaries of what technology can achieve. We're creating future-ready solutions, focusing on resiliency and urgency through our 21st Century Security® vision. What does this role look like? Want to join a great team where you can have an immediate impact across the enterprise?

The Lockheed Martin Space Operations team is where you want to be! The Operations organization is comprised of more than 6,000 dedicated professionals deployed to company and customer sites throughout the country. Operations touches all Space programs and products - managing our supply chain; producing, assembling, testing and transporting mission critical hardware; ensuring safety, quality and security; integrating enterprise plans;

maintaining and improving our facilities; while ensuring program performance. All of the essential elements that ultimately result in the delivery of spacecraft, missiles and instruments to our customers. Every day, the work we do makes a difference. With a focus on productivity, this role will support Digital Transformation efforts targeted toward streamlining existing processes, optimizing cycle times, reducing errors, reducing cost, and improving customer satisfaction as identified by the business strategy.

In this role you will have the following daily key responsibilities: → Facilitate cross-functional workshops with support teams (operations, supply chain, quality, etc.) to document current-state and future-state processes (VSM/PFD) → Regularly engage with internal stakeholders to understand their analysis needs. → Build, validate, and maintain discrete event simulation (DES) models of manufacturing processes and supply chain flows. → Deploy and support use of modeling and simulation to the facility level.

→ Conduct "what if" scenarios, and identify capacity constraints and bottlenecks. → Present findings, recommendations, and trade-offs to stakeholders and senior leadership. → Work closely with production leadership to provide actionable insights. → Expect to travel to internal and external production facilities / suppliers up to 25%. The preferred candidate will be located near one of our Lockheed Martin Space facilities in either:
• Denver, CO ,
• King of Prussia/Valley Forge, PA , OR
• Rocket City USA:
Huntsville/Courtland AL , and be expected to work in the office as needed and as appropriate.

Basic Qualifications:

To be effective, you will need to possess these basic qualifications:
• Bachelor's degree in STEM field.
• 3+ years of experience in manufacturing, process engineering, or operations modeling.
• Strong understanding of lean manufacturing principles, including process mapping.
• You will need to be a US Citizen, and be able to obtain and maintain a US SECRET clearance , to support this government contract, as well as successfully pass a drug and background check, in order to meet eligibility requirements for access to classified information.

Please note:

No clearance is required to apply, nor prior to start. Desired

Skills:

To be effective, ideally, you should also have:
• Master's Degree.
• Experience developing process flow diagrams and analyzing production systems
• Hands-on experience with discrete event simulation tools (e.g., Simio, Process Simulator, Arena, Flex Sim)
• Experience working across multiple facilities or with external suppliers
• Familiarity with production planning, supply chain modeling, or capacity analysis
• Knowledge of statistical analysis and optimization techniques
• Proficiency in data analysis tools (e.g., Excel, Python, or similar)…