Engineer Sr, Industrial

EOSPittsburgh, PA
87d

About The Position

Eos Energy Enterprises, Inc. is accelerating the shift to American energy independence with positively ingenious solutions that transform how the world stores power. Our breakthrough Znyth™ aqueous zinc battery was designed to overcome the limitations of conventional lithium-ion technology. It is safe, scalable, efficient, sustainable, manufactured in the U.S., and the core of our innovative systems that today provides utility, industrial, and commercial customers with a proven, reliable energy storage alternative for 3 to 12-hour applications. Eos was founded in 2008 and is headquartered in Edison, New Jersey. The Senior Industrial Engineer will evaluate, design, and develop production standards in collaboration with management and cross-functional teams. This position requires a well-rounded industrial engineering, quality, and operations skillset to reduce waste, maximize efficiency, and error-proof the process. This position proposes and executes improvement initiatives utilizing data driven decisions, while assuring safety and quality at the source.

Requirements

  • Bachelor's degree in industrial engineering or related field of study required
  • Minimum of 10 years of experience
  • Green Belt certification (SSGB, LSSGB) required, Black Belt preferred (or equivalent experience)
  • Proficiency in use of AutoCAD, Solidworks, etc. for layout design
  • Expert level experience with Excel and/or Minitab
  • Proficient in Python, Arena, Simul8, or other simulation software.

Responsibilities

  • Design and manage capacity planning models for all manufacturing lines
  • Ownership of ERP Routing structure, deployment, and maintenance
  • Establish and maintain labor standards for the manufacturing operation
  • Develop KPIs to track productivity metrics related to labor, equipment, quality, and supply chain
  • Lead the design and optimization of site layouts for production, material flow, construction, and facilities
  • Partner with leadership, operations, and engineering teams to ensure that layout designs align with the manufacturing strategy and build plans
  • Utilize discrete event simulation modeling and statistical modeling to drive critical business decisions
  • Deploy live reporting and analytics for manufacturing operations
  • Practice lean methodologies (Kanban, Heijunka, Value Stream Mapping, Kaizen, Hoshin, SMED, JIT, etc.) for optimizing manufacturing efficiency
  • Identify, plan, and execute process efficiency opportunities throughout operations, including simplification, standardization, implementation, and sustainability.
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