Battery Factory Simulation Engineer M/F

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