Job Title: Simulation Engineer (Battery Manufacturing)
Location: TMNA Battery Manufacturing Engineering (Toyota Motor North America)
Department: Battery PE (Production Engineering)
Role Overview
Our Client is seeking a highly motivated Simulation Engineer to advance modeling capabilities for complex battery manufacturing and supply chain processes. This role focuses on using Siemens Plant Simulation software to create validated models at multiple levels—from individual production lines to regional supply chains. You will be responsible for creating standardized tools, managing external vendors, and driving data-driven decision-making to optimize manufacturing performance.
Key Responsibilities
- Discrete Event Simulation (DES): Develop and enhance models for manufacturing operations (Line, Shop, Plant, and Supply Chain levels).
- Standardization: Design standard input templates and deliverable formats for internal use and vendor collaboration.
- Validation: Establish and maintain simulation validation protocols to ensure model accuracy and reliability.
- Vendor Management: Build and manage relationships with external simulation vendors to support project execution.
- Data Mining & Analytics: Extract actionable business insights from simulation data to drive continuous improvement.
- Digital Twins: Collaborate with data analysts to integrate data streams and develop digital twin capabilities.
- Governance: Create and manage a centralized system for all in-house simulation models and assets.
- Mentorship: Provide expert guidance and training to internal stakeholders on DES best practices.
Qualifications (Must Haves)
- Education: Bachelor’s degree in Industrial Engineering, Operations Research, Systems Engineering, or a related field.
- Experience: Minimum 5 years of professional experience in discrete event simulation within a manufacturing environment.
- Software Pro: Proven expertise using Siemens Plant Simulation software.
- Technical Skills: Knowledge of Python or SQL for automating data processing and workflows.
- Academic Foundation: Strong background in applied mathematics, statistics, and computer science.
- Process Knowledge: Deep understanding of manufacturing operations, supply chain, and production systems.
- Project Management: Experience managing external vendors and coordinating multi-stakeholder projects.
- Communication: Ability to translate complex technical results into clear business insights for leadership.
Preferred Qualifications (Bonus)
- Advanced Degree: Master’s or PhD in a relevant engineering or data science field.
- Advanced Tech: Experience with Digital Twin technologies or other Siemens tools (Process Simulate).
- Industry: Background in Automotive or Battery manufacturing.
- Methodologies: Experience with Lean Manufacturing or Six Sigma.
- Leadership: Project management certification or experience leading cross-functional teams.
