Battery Factory Simulation Engineer M/F

We are looking for a Battery Factory Simulation Engineer. As such, you will develop and own factory-level simulation models for battery manufacturing to perform bottleneck analysis, capacity studies, line balancing, throughput optimization, logistics flow design, ramp‑up decision‑making, and what‑if scenario analysis.

Main responsibilities

• Build and maintain factory simulation models
  • Develop and own a factory simulation framework (discrete event simulation) for battery manufacturing covering:
  • Electrode Manufacturing: Mixing, Coating, Drying, Calendering, Notching
  • Cell Assembly: Stacking, tab welding, EL filling, Sealing
  • Formation and Aging
  • Module Assembly: Cell sorting, Welding, Assembly, end‑of‑Line testing
  • Internal Logistics: Buffers, Conveyors, AGVs, Storage and Material replenishment
  • Shared factory resources/constraints (dry rooms, utilities, …)
  • Integrate 0D models, engineering correlations, equipment constraints, process windows, and other key operational rules required to keep factory scenarios technically and operationally viable.
  • Model and workflow standardization, change tracking, automation and documentation
• Equipment/process model requirements, development, and parameter identification
  • Establish and own model requirements for each equipment/process unit and collect database/models required for system‑level integration.
  • Develop equipment/process 0D models for integration into factory model in collaboration with process engineers, data scientists and CAE engineers.
  • Develop and implement control strategies in the model per equipment, zone or at factory level.
  • Integrate domain knowledge into the equipment/process models in collaboration with process engineers, data scientists and CAE engineers.
  • Maintain model assumptions and limitations and parameter/model‑change traceability.
• Perform production flow/bottleneck analysis and optimization and evaluate advanced process technologies
  • Perform production flow, bottleneck, capacity, and line balancing studies to identify constraint stations, queue formation, WIP accumulation, starvation/blockage patterns, utilization losses, and throughput limitations.
  • Run what‑if scenario studies for equipment/buffer sizing, resource allocation, layout changes, logistics strategies, product mix, ramp‑up trajectories, changeovers, downtimes, and utility‑constrained cases.
  • Identify feasible/optimized operational logic that achieves pilot line/gigafactory objectives (production, yield, scrap, …) including machine states, dispatching assumptions, batching/sequencing logic, material replenishment triggers, formation scheduling, …
  • Assess new equipment technologies and process innovations for throughput, yield, cost, quality, … within the full factory model.
  • Examine control strategies to suggest/assess potential automation routes.
  • Support cost‑related studies by generating scenario‑based inputs for bottom‑up manufacturing cost modeling.
  • Analyze, validate, and communicate regularly simulation results and actionable recommendations to stakeholders.

Requirements

• Master's (Bac+5) degree in Industrial Engineering, Manufacturing Engineering, Systems Engineering, Mechanical Engineering, Chemical Engineering or equivalent.
• 5+ years of experience in discrete event simulation / manufacturing process simulation.
• Experience in battery/semiconductor manufacturing or other complex high‑volume industrial environments.
• Experience with capacity studies, bottleneck analysis, line balancing, ramp‑up studies.
• Experience with industrial simulation tools such as FlexSim, Siemens Plant Simulation, AnyLogic, Simio, Arena, or equivalent.
• Good knowledge of Python, data analysis, and model/data integration practices.
• Proficiency in English. French is a plus.