Are you passionate about using cutting-edge technology to optimize operations? Join our team as a Simulation Engineer and play a pivotal role in transforming manufacturing and warehouse processes. You'll develop advanced simulation models that improve efficiency, automate workflows, and drive operational excellence. Collaborate with cross-functional teams to deliver simulation-driven insights that enhance productivity, quality, and cost-effectiveness. Position Advanced Manufacturing Engineer- Simulation Location USA, Louisville, KY How You'll Create Possibilities • Build and Innovate: Create and implement discrete event simulation models to analyze and optimize manufacturing and warehouse operations. • Model the Future: Develop physics-based 3D simulations with CAD and kinematic tools to streamline factory and warehouse workflows. • Streamline Processes: Develop custom scripts to program simulated factory automation such as conveyance, and fabrication equipment. • Automate with Precision: Write custom scripts to program factory automation tools like robotics and conveyance systems. • Leverage Data: Extract actionable insights from simulation data, employing statistical methods to validate results and predict performance. • Collaborate Across Teams: Partner with Lean and project teams to ensure alignment with factory priorities, material flow, and operational goals. • Drive Change: Lead Run the Plant (RTP) projects and support New Product Introduction (NPI) programs, using simulation to unlock cost savings and productivity gains. What You'll Bring to Our Team Requirements: • Bachelor's degree in Industrial or Systems Engineering, a related technical field, OR equivalent experience. • 2-5+ years of hands-on experience with simulation tools (e.g., Emulate3D, Arena, ANSYS) and digital factory tools (e.g., AutoCAD, SolidWorks, CREO). • Proficiency in programming/scripting languages like C#, JavaScript, or Python. • Strong analytical and problem-solving skills. • Ability to manage multiple tasks in a dynamic, collaborative environment. Preferred Qualifications: • Advanced degree in Engineering, with a focus on Industrial or Systems Engineering. • Expertise in statistical modeling, data analytics, and visualization techniques. • Experience in New Product Introduction (NPI) programs. Additional Details: • Work is primarily in an office environment, with occasional weekend/evening hours as needed. • Domestic travel (10-20%) may be required.