Senior Simulation Engineer

Job Title: Simulation Engineer Location: Liberty, NC Job Type: Contract About CTC: Founded in 1996, CTC is a global IT services, Consulting and Business Solutions partner dedicated to helping organizations innovate, optimize, and grow. With over 2,000 professionals worldwide, we support more than 100 clients in transforming complex challenges into lasting competitive advantages. Job Description: Who we are • Collaborative. Respectful. A place to dream and do. These are just a few words that describe what life is like at Toyota. As one of the world’s most admired brands, Toyota is growing and leading the future of mobility through innovative, high-quality solutions designed to enhance lives and delight those we serve. We’re looking for diverse, talented team members who want to Dream. Do. Grow. with us. What we’re looking for: • TMNA Battery Manufacturing Engineering Department is looking for a passionate and highly motivated Simulation Engineer to advance our capabilities in modeling complex manufacturing and supply chain processes. This role focuses on leveraging Siemens Plant Simulation software to create accurate, validated simulation models at multiple operational levels from individual production lines to regional supply chains. The insights generated will directly support data-driven decision-making and continuous improvement initiatives. • Reporting to the Engineering Manager, the Simulation Engineer will develop standardized tools, templates, and validation protocols to ensure consistency and quality across all simulation projects. • The role involves development of simulation models, managing external simulation vendors and collaborating closely with internal engineers and data analysts on data integration. This position is critical to enhancing Toyota Battery PE’s ability to anticipate operational challenges and optimize manufacturing performance. What you’ll be doing: • Develop and enhance Toyota Battery PE’s capability in discrete event simulation (DES) to model manufacturing operations at multiple levels: line, shop, plant, and regional supply chain. • Design and implement standard input templates and deliverable formats for internal use and for collaboration with external simulation vendors. • Establish and maintain simulation validation standards to ensure accuracy and reliability of models. • Build and nurture relationships with external simulation vendors to support project execution and knowledge exchange. • Create and manage a centralized system for organizing and maintaining in-house simulation models. • Develop advanced techniques for mining completed simulation data to extract actionable business insights that drive operational improvements. • Collaborate closely with in-house data analysts to streamline data collection processes and identify opportunities to develop digital twins leveraging simulation models. • Provide expert guidance and training to internal stakeholders on DES best practices and tools. • Qualifications/ What you bring (Must Haves): • Bachelors degree in relevant fields such as Industrial Engineering, Operations Research, Systems Engineering, or a related discipline. • Minimum 5 years of professional experience in discrete event simulation within a manufacturing environment. • Proven expertise using Siemens Plant Simulation software for building and applying DES models. • Knowledge of programming or scripting languages (e.g., Python, SQL) to automate data processing or simulation workflows. • Strong understanding of manufacturing operations, supply chain processes, and production systems. • Strong background in applied mathematics, statistics and computer science • Demonstrated ability to develop standards, templates, and processes for simulation modeling and validation. • Experience managing relationships with external vendors and coordinating multi-stakeholder projects. • Proficiency in data analysis and integration techniques to support simulation model inputs and outputs. • Excellent communication skills with the ability to translate complex simulation results into clear business insights. Bonus if you have (Preferred): • Advanced degree (Master’s or PhD) in Industrial Engineering, Systems Engineering, Operations Research, Data Science, or related fields. • Experience developing or working with digital twin technologies in manufacturing contexts. • Familiarity with other modeling tools or complementary modeling techniques (e.g., Siemens Process Simulate, Delmia). • Background in Lean Manufacturing, Six Sigma, or other continuous improvement methodologies. • Experience working within automotive or battery manufacturing industries. • Project management certification or experience leading cross-functional teams.