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:

1-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

2-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

3-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