Advanced Engineer R & D: CFD Modeling & Simulation

Owens Corning; Granville Township (OH); Hybrid; USD 120,000 - 160,000; Full time

Job summary

The role emphasizes expertise in CFD, heat transfer, turbulence, multiphase flow, and data‑driven workflow automation, with a strong focus on model validation and digital engineering practices. A track record of mentoring others and delivering measurable business impact is essential.

Qualifications

• Advanced degree in Mechanical, Chemical, Aerospace, Materials Science, Applied Physics, or related field.
• 10+ years of CFD and computational modeling experience in industry.
• Strong foundation in fluid mechanics, heat transfer, turbulence modeling, numerical methods, multiphase flow, combustion, particle transport, and transport phenomena.

Responsibilities

• 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 connect CFD insights with structural, thermal‑mechanical, or materials performance considerations where appropriate.
• Use SDM tools to organize simulation data, capture new modeling concepts, preserve learnings, and improve accessibility of validated methods.
• Implement AI, machine learning, surrogate modeling, and automation concepts to improve modeling productivity and accessibility.
• 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.
• Establish and manage technical partnerships with universities, national laboratories, software vendors, engineering consultants, research institutes, and global contractor resources.
• Define modeling scopes of work, technical deliverables, quality expectations, and validation standards for external simulation partners.
• Evaluate emerging computational technologies and identified opportunities to strengthen enterprise modeling capability.
• Leverage external expertise to accelerate innovation, expand CFD capacity, and access specialized computational methods.

Skills

CFD Platforms

Programming and Automation

Turbulence modeling

Conjugate heat transfer

Multiphase flow

Particle transport

Scale-up modeling

Education

Advanced engineering degree in Mechanical / Chemical / Aerospace / Materials Science / Applied Physics

Tools

ANSYS Fluent

ANSYS CFX

STAR-CCM+

COMSOL

OpenFOAM

Job description

Advanced Engineer R & D: CFD Modeling & Simulation

Location: Granville, OH 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.

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 Building

• Establish and manage technical partnerships with universities, national laboratories, software vendors, engineering consultants, research institutes, and global contractor resources.
• Define modeling scopes of work, technical deliverables, quality expectations, and validation standards for external simulation partners.
• Evaluate emerging computational technologies and identified opportunities to strengthen enterprise modeling capability.
• Leverage external expertise to accelerate innovation, expand CFD capacity, and access specialized computational methods.

Education and Qualifications

• Advanced degree in Mechanical Engineering, Chemical Engineering, Aerospace Engineering, Materials Science, Applied Physics, or related engineering discipline.
• 10+ years of experience applying CFD and computational modeling to industrial engineering, product development, manufacturing, or process technology challenges.
• Deep technical foundation in fluid mechanics, heat transfer, turbulence modeling, numerical methods, multiphase flow, combustion, particle transport, and transport phenomena.
• Demonstrated success leading technically complex modeling projects with measurable business impact.
• Strong ability to communicate complex simulation insights to technical experts, operations teams, business leaders, and cross‑functional stakeholders.

Technical Skills

• CFD Platforms: ANSYS Fluent, ANSYS CFX, STAR‑CCM+, COMSOL, OpenFOAM
• Programming and Automation: Python, MATLAB, workflow automation, scripting, model templating
• Methods: Turbulence modeling, conjugate heat transfer, multiphase flow, combustion, particle tracking, mixing, transport phenomena, scale‑up modeling
• Simulation Data Management: SDM platforms, simulation data organization, model traceability, knowledge capture, reusable workflows, and concept documentation
• Business Applications: Manufacturing optimization, process troubleshooting, capital project support, innovation acceleration, technical risk reduction

Owens Corning is an equal opportunity employer. Except in limited circumstances such as formal apprenticeship programs, Owens Corning does not employ anyone under the age of 18.