Create factory floor models, develop capacity planning models, validate master scheduling, and prediction accuracy Integrate systems of factory planning tools for a manufacturing organization Utilize capacity models to create wafer start plan for fab loading Identify shortcomings in capacity models for the factory floor as well as adapting to changing needs in an R&D manufacturing environment Design, collect data, analyze, and compile reports on a variety of WIP in a high mix environment Evaluate impacts of process changes to capacity models Build and implement tools to evaluate manufacturing efficiency and identify opportunities for improvement Optimize capacity of fab equipment by performing fab wide and tool specific optimization studies Use systems engineering principles throughout daily work A degree in a STEM area (Science, Technology, Engineering or Math) with a minimum of 5 years of experience with a bachelor's degree, 3 years of experience with a master's degree, or 0 years of experience with a PhD Experience in manufacturing microelectronics or semiconductor fabs, including experience with semiconductor CIM components Experience with defining requirements and technology roadmaps for internal stakeholders and external vendors Principal Factory Modeling Systems Engineer:

A degree in a STEM area (Science, Technology, Engineering or Math) with a minimum of 8 years of experience with a bachelor's degree, 6 years of experience with a master's degree, or 4 years of experience with a PhD Experience in manufacturing microelectronics or semiconductor fabs, including experience with semiconductor CIM components Exposure to capacity planning and/or factory capacity modeling specific to semiconductor or microelectronics manufacturing Has experience in production control, inventory control, process control, or shop floor control / Material Resources Planning (MRP) Comfortable with leading meetings and being an agent for change and continuous improvement Capability of utilizing SQL to acquire necessary data for model building and simulation Experience with defining requirements and technology roadmaps for internal stakeholders and external vendors Capability to create test plans for requirement sell off events Must be willing to work on site 100% of time Limited travel to local Northrop Grumman facilities may be required This position requires the applicant to be a U.S. citizen Must be able to obtain and maintain a US government security clearance per business requirements Active US government security clearance per business requirements Strong skills in data mining, data analysis, and critical thinking to aid in troubleshooting scheduling issues Understands how factory planners use simulation and advanced analytics tools to perform WIP scheduling in automated fashions Experience using industrial and systems engineering principles in the context of capacity model and factory planning systems Has worked with Applied Materials SmartFactory Computer Integrated Manufacturing (CIM) solution Strong understanding of Factory Physics within a Semiconductor or Microelectronics fabrication facility Capable of performing multivariate optimizations on a model to maximize or minimize a particular objective function with regards to output and cycle time Experience with Agile/Scrum methodologies and software tools, i.e. Atlassian tools stack - Jira, Confluence