Northrop Grumman - Linthicum Heights, MD

posted 30 days ago

Full-time - Mid Level
Linthicum Heights, MD
Computer and Electronic Product Manufacturing

About the position

The Semiconductor Industrial Engineer at Northrop Grumman will support Operations and Industrial Engineering activities for the Advanced Technology Lab (ATL) in Linthicum, Maryland. This role focuses on optimizing manufacturing processes, improving production efficiency, and implementing industrial engineering best practices in a high-mix microelectronics fabrication environment. The position requires collaboration with cross-functional teams and involves data visualization and database management to drive continuous improvement initiatives.

Responsibilities

  • Optimize and analyze manufacturing processes to enhance efficiency and productivity in a high-mix microelectronics fabrication environment.
  • Utilize Tableau for data visualization and reporting to support decision-making processes.
  • Manage and analyze databases to drive insights and continuous improvement initiatives.
  • Oversee Work In-Progress (WIP) planning, line balancing, and capacity modeling to ensure optimal production flow.
  • Collaborate and lead cross-functional teams to identify and address process bottlenecks and implement best practices.
  • Implement and monitor key performance indicators (KPIs) to measure and improve operational performance.

Requirements

  • Bachelor of Science in Industrial Engineering, Manufacturing Engineering or any related STEM degree with 2 years relevant industry experience or Masters with a minimum of 0 years relevant industry experience for Semiconductor Industrial Engineer; or 5 years relevant industry experience for Principal Semiconductor Industrial Engineer with a Bachelor's degree, 3 years with a Master's, or 0 years with a PhD.
  • Proficiency in Tableau for data visualization and reporting.
  • Knowledge of microelectronics manufacturing techniques and processes.
  • Knowledge in Work in Progress (WIP) planning, line balancing, and capacity modeling specifically in ramping/opening new production lines.
  • Excellent analytical and problem-solving skills.
  • Proven ability to work collaboratively in a team environment and independently.
  • Ability to obtain and maintain a Top Secret/SCI clearance.
  • US Citizenship required.

Nice-to-haves

  • TS/SCI clearance
  • Experience with C/C++, Python, APF Formatter reports and database management.
  • Experience with machine learning and its applications in manufacturing processes.
  • Knowledge of Lean Manufacturing principles and Six Sigma methodologies.
  • Familiarity with advanced microelectronics fabrication technologies.
  • Experience with static and dynamic capacity modeling using modeling and simulation software.
  • Supply chain experience.

Benefits

  • Relocation assistance may be available.
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