Modeling Engineer (FEA) for Materials Process Innovation

ATI; Monroe (NC); On-site; USD 90,000 - 130,000; Full time

Job summary

ATI is seeking a Modeling Engineer - FEA to advance process modeling for specialty alloys at our Monroe, NC facility. The role focuses on developing and applying computational models to predict material behavior during manufacturing, and requires collaboration with R&D teams.

The candidate will work onsite, apply advanced modeling techniques, and visit relevant facilities to gain insights for model development and validation.

Qualifications

• MS/PhD in Mechanical or Materials Science Engineering with a focus on modeling.
• At least 2 years of relevant modeling experience.
• Experience in modeling fluid flow and/or solidification of metals or forging of metals.
• Experience with one or more commercial FEA programs.
• Preference for Ni-base alloys, titanium alloys, specialty steels, or metal powders.

Responsibilities

• Utilize process simulation to support manufacturing process improvements for quality and cost.
• Conduct testing and characterization to generate data for model development and validation.
• Communicate results through reports and presentations to management and customers.
• Propose and execute project concepts for new products, cost savings, quality improvement, and process innovation; collaborate across ATI.
• Maintain industry knowledge through literature, meetings, and site visits.

Skills

Finite element analysis

Computational modeling

Programming (C++, FORTRAN, Python)

Machine learning

Numerical methods

FEA software

Education

MS or PhD in Mechanical/Materials Science Engineering

2+ years of modeling experience

Experience with metal processing modeling

Tools

DEFORM software suite

Job description

ATI is seeking a Modeling Engineer - FEA to advance process modeling for specialty alloys at our Monroe, NC facility. The role focuses on developing and applying computational models to predict material behavior during manufacturing, and requires collaboration with R&D teams.

The candidate will work onsite, apply advanced modeling techniques, and visit relevant facilities to gain insights for model development and validation.