Advanced Engineer R & D: CFD Modeling & Simulation

Advanced Engineer R & D: CFD Modeling & Simulation Location(s): Granville, OH, US, 43023-1200 Function: Research and Development Audience: Experienced Professional Work Arrangement: Hybrid Requisition ID: 69930 Owens Corning is seeking an Advanced CFD Modeling Engineer with deep experience applying computational fluid dynamics, heat transfer, turbulence, multiphase flow, combustion, particle transport, and transport phenomena to solve complex industrial and manufacturing challenges. Proven ability to translate physics-based simulation into practical engineering decisions that improve process performance, accelerate innovation, reduce testing cycles, de-risk capital projects, and create measurable business value. Recognized for modeling capability through standardized workflows, validated modeling methods, automation, external technical partnerships, and digital engineering practices. Effective cross-functional partner across R&D, operations, engineering, capital delivery, and business teams, with a strong track record of influencing technical direction and enabling model-based decision making. Technical Expertise Champion Safety and Owens Corning Values - Demonstrate an uncompromising commitment to safety. - Ensure appropriate use of data, models, and engineering recommendations. - Foster a culture of: Caring, Curious, Collaborative, Committed - Model inclusive leadership and strong technical stewardship. Computational Fluid Dynamics and Physics-Based Modeling - Develop and apply high-fidelity CFD models for fluid flow, heat transfer, turbulence, multiphase systems, combustion, mixing, particle transport, and material processing. - Use simulation to evaluate process design, operating windows, scale-up risk, manufacturing performance, and product/process innovation opportunities. - Translate model outputs into clear engineering recommendations for technical and business stakeholders. - Build validated modeling approaches by connecting simulation results with experimental, lab, pilot, and manufacturing data. - Apply digital engineering methods to reduce physical testing, shorten development cycles, and improve decision confidence. - Demonstrate familiarity with structural modeling concepts and the ability to connect CFD insights with structural, thermal-mechanical, or materials performance considerations where appropriate. - Use Simulation Data Management (SDM) tools and practices to organize simulation data, capture new modeling concepts, preserve learnings, and improve accessibility of validated methods across teams. - Implement AI, machine learning, surrogate modeling, and automation concepts to improve modeling productivity and accessibility. Professional Experience Highlights - Lead CFD and computational modeling efforts supporting new product development, process innovation, manufacturing troubleshooting, capital project design, and customer-facing technical challenges. - Partner with cross-functional teams to identify high-value modeling opportunities and prioritize simulation work based on business impact, technical risk, and urgency. - Create reusable modeling workflows, templates, validation practices, and automation approaches to improve modeling speed, quality, and scalability. - Mentor engineers and scientists in CFD fundamentals, simulation methodology, model validation, and interpretation of results. - Contribute to advanced modeling roadmaps, digital transformation initiatives, and enterprise adoption of simulation-first engineering practices. External Technical Ecosystem and Capability Bu